Biomass generator set combustion system controller design method based on expected closed-loop dynamic characteristics

Abstract

The invention provides a biomass generator set combustion system controller design method based on expected closed-loop dynamic characteristics. The method comprises the following steps: describing a biomass generator set combustion system by adopting a first-order transfer function and time delay or a second-order transfer function and time delay transfer function; an expected closed-loop dynamic response characteristic of a combustion system of the biomass generator set is given; designing a prediction proportion-integral control structure based on the first-order transfer function, the time delay transfer function and the expected closed-loop dynamic response characteristics, or designing a prediction proportion-integral-differential control structure based on the second-order transfer function, the time delay transfer function and the expected closed-loop dynamic response characteristics; a control parameter of the predictive proportional-integral control structure or a control parameter of the predictive proportional-integral-differential control structure is calculated based on the adjustable parameter. The controller obtained by the invention has the advantages of simple structure, outstanding effect and the like, and has important significance for supporting the safe operation of the biomass generator set.

Description

Technical Field

[0001] The invention relates to the field of thermal control of biomass generator sets, and in particular to a design method for a combustion system controller of a biomass generator set based on expected closed-loop dynamic characteristics. Background Art

[0002] The randomness, uncertainty, and transient nature of renewable energy such as wind power and photovoltaics, which are dependent on the weather, have further increased the severity of the power supply situation. Biomass units, due to their environmental advantages and short-term peak capacity advantages, are gradually playing a certain role in meeting the peak summer and winter.

[0003] The control performance of the combustion system is crucial to the power output and pollutant generation of the biomass unit. However, the combustion system is a typical process dominated by time delay. This leads to many control difficulties, such as the reduction of the unit's stability margin and the decline of control performance. In addition, the combustion system has strong uncertainty due to changes in operating conditions or fuel changes. In order to enhance the control quality of the biomass unit combustion system, some scholars have made relevant controller optimization designs based on the characteristics of its time delay system, such as (Zhang Xiaocong. Research on Intelligent Control Algorithm of 1000MW Supercritical Unit Combustion System [D]. North China Electric Power University, 2021.) and other studies have certain limitations on engineering implementation. For example, ([1] Zheng Ruixiang. Research on Modeling and Control Method of 1000MW Thermal Power Unit Combustion System [D]. North China Electric Power University, 2018.) designed a fuzzy PID control strategy, which has the disadvantage of being difficult to implement in engineering, and is targeted at large thermal power units. There is a lack of research on the combustion system of biomass units. Summary of the invention

[0004] In order to solve the problem of optimizing control of a combustion system of a biomass generator set, the present invention provides a method for designing a controller of a combustion system of a biomass generator set based on expected closed-loop dynamic characteristics.

[0005] In a first aspect, the present invention provides a method for designing a controller for a combustion system of a biomass power generation unit based on expected closed-loop dynamic characteristics, comprising the following steps:

[0006] 1) The combustion system of biomass generator set is described by using first-order transfer function plus time-delay transfer function:

[0007]

[0008] In formula (1), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator set combustion system to the start of the change of the furnace temperature, e is an exponential constant, G1(s) is the transfer function of the biomass generator set combustion system, K is the amplification value of the secondary air volume change of the biomass generator set combustion system on the furnace temperature, and T is the characterization parameter of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator set combustion system; among them, L, K, and T are obtained by pre-identification of the operation data of the biomass generator set combustion system;

[0009] 2) Given the expected closed-loop dynamic response characteristics of the combustion system of a biomass power generation unit:

[0010]

[0011] In formula (2), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5];

[0012] 3) Design the predictive proportional-integral control structure of the biomass generator combustion system based on the first-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics:

[0013] The designed feedback proportional-integral controller is:

[0014]

[0015] The designed predictive controller is:

[0016]

[0017] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral controller;

[0018] The output of the feedback proportional-integral controller minus the output of the predictive controller is used as the input of the predictive controller;

[0019] The output of the feedback proportional-integral controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, thus obtaining a prediction proportional-integral control structure;

[0020] 4) Calculate the control parameters of the predicted proportional-integral control structure based on the adjustable parameter λ.

[0021] In a second aspect, the present invention provides a method for designing a controller for a combustion system of a biomass power generation unit based on expected closed-loop dynamic characteristics, comprising the following steps:

[0022] 1) The second-order transfer function plus the time-delay transfer function is used to describe the combustion system of the biomass generator set:

[0023]

[0024] In formula (2), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, G2(s) is the transfer function of the biomass generator combustion system, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, T1 and T2 are both characterization parameters of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system;

[0025] 2) Given the expected closed-loop dynamic response characteristics of the combustion system of a biomass power generation unit:

[0026]

[0027] In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5];

[0028] 3) Design the predictive proportional-integral-derivative control structure of the biomass generator combustion system based on the second-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics:

[0029] The designed feedback proportional-integral-derivative controller is:

[0030]

[0031] The designed predictive controller is:

[0032]

[0033] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral-derivative controller;

[0034] The output of the feedback proportional-integral-derivative controller minus the output of the predictive controller is used as the input of the predictive controller;

[0035] The output of the feedback proportional-integral-differential controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, so as to obtain the prediction proportional-integral-differential control structure;

[0036] 4) Calculate the control parameters of the predicted proportional-integral-derivative control structure based on the adjustable parameter λ.

[0037] In a third aspect, the present invention provides a biomass power generation unit combustion system controller design system based on expected closed-loop dynamic characteristics, comprising:

[0038] The transfer function description module is used to describe the combustion system of the biomass generator set by using a first-order transfer function plus a time-delay transfer function; wherein the transfer function G1(s) of the combustion system of the biomass generator set is:

[0039]

[0040] In formula (1), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, and T is the characterization parameter of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system; among them, L, K, and T are obtained by pre-identification of the operation data of the biomass generator combustion system;

[0041] The expected closed-loop dynamic response characteristic setting module is used to set the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit; wherein the given expected closed-loop dynamic response characteristic is:

[0042]

[0043] In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5];

[0044] The predictive proportional-integral control structure design module is used to design the predictive proportional-integral control structure of the biomass generator combustion system based on the first-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics;

[0045] The designed feedback proportional-integral controller is:

[0046]

[0047] The designed predictive controller is:

[0048]

[0049] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral controller;

[0050] The output of the feedback proportional-integral controller minus the output of the predictive controller is used as the input of the predictive controller;

[0051] The output of the feedback proportional-integral controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, thus obtaining a prediction proportional-integral control structure;

[0052] The control parameter calculation module is used to calculate the control parameters of the predicted proportional-integral control structure based on the adjustable parameter λ.

[0053] In a fourth aspect, the present invention provides a biomass power generation unit combustion system controller design system based on expected closed-loop dynamic characteristics, comprising:

[0054] The transfer function description module is used to describe the combustion system of the biomass generator set by using a second-order transfer function plus a time-delay transfer function; wherein the transfer function G2(s) of the combustion system of the biomass generator set is:

[0055]

[0056] In formula (1), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, G2(s) is the transfer function of the biomass generator combustion system, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, T1 and T2 are both characterization parameters of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system;

[0057] The expected closed-loop dynamic response characteristic setting module is used to set the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit; wherein the given expected closed-loop dynamic response characteristic is:

[0058]

[0059] In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5];

[0060] The predictive proportional-integral-differential control structure design module is used to design the predictive proportional-integral-differential control structure of the biomass generator combustion system based on the second-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics;

[0061] The designed feedback proportional-integral-derivative controller is:

[0062]

[0063] The designed predictive controller is:

[0064]

[0065] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral-derivative controller;

[0066] The output of the feedback proportional-integral-derivative controller minus the output of the predictive controller is used as the input of the predictive controller;

[0067] The output of the feedback proportional-integral-differential controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, so as to obtain the prediction proportional-integral-differential control structure;

[0068] The control parameter calculation module is used to calculate the control parameters of the predicted proportional-integral-derivative control structure based on the adjustable parameter λ.

[0069] In a fifth aspect, the present invention provides a biomass generator set combustion system controller based on expected closed-loop dynamic characteristics, which is designed using the biomass generator set combustion system controller design method based on expected closed-loop dynamic characteristics.

[0070] In a sixth aspect, the present invention provides a biomass power generation unit combustion system controller design device, comprising:

[0071] one or more processors;

[0072] a memory for storing one or more programs,

[0073] When the one or more programs are executed by the one or more processors, the one or more processors are caused to perform the steps of the method for designing a controller for a combustion system of a biomass power generation unit based on expected closed-loop dynamic characteristics.

[0074] In a seventh aspect, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for designing a controller for a combustion system of a biomass power generation unit based on expected closed-loop dynamic characteristics as described above.

[0075] Compared with the prior art, the present invention has outstanding substantive features and significant progress, specifically:

[0076] (1) The biomass generator combustion system controller designed by the present invention can solve the problem of increased control difficulty caused by the large time delay of the biomass generator combustion system, and is only composed of a feedback proportional-integral controller (or a feedback proportional-integral-differential controller) and a predictive controller, and has a simple structure.

[0077] (2) According to the design method proposed by the present invention, the control parameters can be calculated by adjusting the adjustable parameters, which is easy to implement.

[0078] (3) The design method proposed in the present invention is applicable to combustion systems of biomass power plants with different installed capacities and is universal. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 is a predictive proportional-integral control structure.

[0080] Figure 2 For predictive proportional-integral-derivative control structure.

[0081] Figure 3 The figure is a comparison of the simulation results in Example 1 and Example 2. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0083] Example 1

[0084] This embodiment provides a method for designing a combustion system controller of a biomass power generation unit based on expected closed-loop dynamic characteristics, comprising the following steps:

[0085] 1) The combustion system of biomass generator set is described by using first-order transfer function plus time-delay transfer function:

[0086]

[0087] In formula (1), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator set combustion system to the start of the change of the furnace temperature, e is an exponential constant, G1(s) is the transfer function of the biomass generator set combustion system, K is the amplification value of the furnace temperature caused by the change of the secondary air volume of the biomass generator set combustion system, and T is the characterization parameter of the furnace temperature change caused by the change of the secondary air volume of the biomass generator set combustion system; among them, L, K, and T are obtained by pre-identification of the operating data of the biomass generator set combustion system.

[0088] In this embodiment,

[0089] 2) Given the expected closed-loop dynamic response characteristics of the combustion system of a biomass power generation unit:

[0090]

[0091] In formula (3), G cl(s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5].

[0092] In this embodiment, given

[0093] 3) Design the predictive proportional-integral control structure of the biomass generator combustion system based on the first-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics:

[0094] The designed feedback proportional-integral controller is:

[0095]

[0096] The designed predictive controller is:

[0097]

[0098] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral controller;

[0099] The output of the feedback proportional-integral controller minus the output of the predictive controller is used as the input of the predictive controller;

[0100] The output of the feedback proportional-integral controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, and the prediction proportional-integral control structure is obtained, such as Figure 1 shown.

[0101] In this embodiment,

[0102] 4) Calculate the control parameters of the predicted proportional-integral control structure based on the adjustable parameter λ.

[0103] Experimental verification

[0104] In order to illustrate the reliability of the method of this embodiment, a conventional proportional-integral controller (with parameters: k p = 0.01 and k i =4.5455×10 -4 , indicated by dotted lines), active disturbance rejection control (parameters: k p =0.05, b0=22.727 and w o = 0.5, represented by a thin dotted line) as a comparison controller, and the predicted proportional-integral control structure is represented by a thick solid line, as shown in the following figure: Figure 3The simulation results are shown in Figure 2. The simulation process is as follows: the setting value is changed from 0 to 1 at 19 seconds, a control disturbance with an amplitude of 1 is added at 200 seconds, and a measurement noise with a power of 0.0001 is added at 400 seconds. Figure 3 It can be seen that the predictive proportional-integral control structure obtained by the design method of this embodiment has the fastest response speed and the strongest anti-interference ability, and the noise suppression ability of the four controllers is equivalent, which illustrates the effectiveness of the design method of this embodiment.

[0105] Example 2

[0106] This embodiment provides a method for designing a combustion system controller of a biomass power generation unit based on expected closed-loop dynamic characteristics, comprising the following steps:

[0107] 1) The second-order transfer function plus the time-delay transfer function is used to describe the combustion system of the biomass generator set:

[0108]

[0109] In formula (2), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, G2(s) is the transfer function of the biomass generator combustion system, K is the amplification value of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system, and T1 and T2 are both characterization parameters of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system.

[0110] In this embodiment,

[0111] 2) Given the expected closed-loop dynamic response characteristics of the combustion system of a biomass power generation unit:

[0112]

[0113] In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5];

[0114] In this embodiment, given

[0115] 3) Design the predictive proportional-integral-derivative control structure of the biomass generator combustion system based on the second-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics:

[0116] The designed feedback proportional-integral-derivative controller is:

[0117]

[0118] The designed predictive controller is:

[0119]

[0120] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral-derivative controller;

[0121] The output of the feedback proportional-integral-derivative controller minus the output of the predictive controller is used as the input of the predictive controller;

[0122] The output of the feedback proportional-integral-differential controller minus the output of the predictive controller is sent to the actuator of the combustion system of the biomass generator set as the control quantity, thus obtaining the predictive proportional-integral-differential control structure, such as Figure 2 shown.

[0123] In this embodiment,

[0124] 4) Calculate the control parameters of the predicted proportional-integral-derivative control structure based on the adjustable parameter λ.

[0125] Experimental verification

[0126] In order to illustrate the reliability of the method of this embodiment, a conventional proportional-integral controller (with parameters: k p = 0.01 and k i =4.5455×10 -4 , indicated by dotted lines), active disturbance rejection control (parameters: k p =0.05, b0=22.727 and w o = 0.5, represented by a thin dashed line) as a comparison controller, and the predicted proportional-integral-derivative control structure is represented by a thick dashed line, as shown in the following figure: Figure 3 The simulation results are shown in Figure 2. The simulation process is as follows: the setting value is changed from 0 to 1 at 19 seconds, a control disturbance with an amplitude of 1 is added at 200 seconds, and a measurement noise with a power of 0.0001 is added at 400 seconds. Figure 3 It can be seen that the predictive proportional-integral-differential control structure obtained by the design method of this embodiment has a faster response speed and the strongest anti-interference ability, and the noise suppression ability of the four controllers is equivalent, which illustrates the effectiveness of the design method of this embodiment.

[0127] Example 3

[0128] This embodiment provides a biomass power generation unit combustion system controller design system based on expected closed-loop dynamic characteristics, including:

[0129] The transfer function description module is used to describe the combustion system of the biomass generator set by using a first-order transfer function plus a time-delay transfer function; wherein the transfer function G1(s) of the combustion system of the biomass generator set is:

[0130]

[0131] In formula (1), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, and T is the characterization parameter of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system; among them, L, K, and T are obtained by pre-identification of the operation data of the biomass generator combustion system;

[0132] The expected closed-loop dynamic response characteristic setting module is used to set the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit; wherein the given expected closed-loop dynamic response characteristic is:

[0133]

[0134] In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5];

[0135] The predictive proportional-integral control structure design module is used to design the predictive proportional-integral control structure of the biomass generator combustion system based on the first-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics;

[0136] The designed feedback proportional-integral controller is:

[0137]

[0138] The designed predictive controller is:

[0139]

[0140] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral controller;

[0141] The output of the feedback proportional-integral controller minus the output of the predictive controller is used as the input of the predictive controller;

[0142] The output of the feedback proportional-integral controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, thus obtaining a prediction proportional-integral control structure;

[0143] The control parameter calculation module is used to calculate the control parameters of the predicted proportional-integral control structure based on the adjustable parameter λ.

[0144] In this embodiment, the implementation scheme of the biomass power generation unit combustion system controller design system based on expected closed-loop dynamic characteristics to solve the problem is similar to the implementation scheme described in the method of Example 1, and will not be repeated here.

[0145] Example 4

[0146] This embodiment provides a biomass power generation unit combustion system controller design system based on expected closed-loop dynamic characteristics, including:

[0147] The transfer function description module is used to describe the combustion system of the biomass generator set by using a second-order transfer function plus a time-delay transfer function; wherein the transfer function G2(s) of the combustion system of the biomass generator set is:

[0148]

[0149] In formula (2), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, G2(s) is the transfer function of the biomass generator combustion system, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, T1 and T2 are both characterization parameters of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system;

[0150] The expected closed-loop dynamic response characteristic setting module is used to set the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit; wherein the given expected closed-loop dynamic response characteristic is:

[0151]

[0152] In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5];

[0153] The predictive proportional-integral-differential control structure design module is used to design the predictive proportional-integral-differential control structure of the biomass generator combustion system based on the second-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics;

[0154] The designed feedback proportional-integral-derivative controller is:

[0155]

[0156] The designed predictive controller is:

[0157]

[0158] The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral-derivative controller;

[0159] The output of the feedback proportional-integral-derivative controller minus the output of the predictive controller is used as the input of the predictive controller;

[0160] The output of the feedback proportional-integral-differential controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, so as to obtain the prediction proportional-integral-differential control structure;

[0161] The control parameter calculation module is used to calculate the control parameters of the predicted proportional-integral-derivative control structure based on the adjustable parameter λ.

[0162] In this embodiment, the implementation scheme of the biomass power generation unit combustion system controller design system based on expected closed-loop dynamic characteristics to solve the problem is similar to the implementation scheme described in the method of Example 2, and will not be repeated here.

[0163] Example 5

[0164] This embodiment provides a biomass generator set combustion system controller based on expected closed-loop dynamic characteristics, which is designed using the biomass generator set combustion system controller design method based on expected closed-loop dynamic characteristics described in Embodiment 1 or Embodiment 2.

[0165] Example 6

[0166] Each module in the system of Example 3 or Example 4 can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0167] In an exemplary embodiment, a biomass generator combustion system controller design device is provided, and the computer device can be a terminal. The computer device also includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, the steps of the biomass generator combustion system controller design method based on the expected closed-loop dynamic characteristics are implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0168] Those skilled in the art will appreciate that the structure of the above-mentioned computer device is only a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components, or combine certain components, or have a different arrangement of components.

[0169] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of a method for designing a controller of a combustion system of a biomass power generation unit based on expected closed-loop dynamic characteristics are implemented.

[0170] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processors involved in each embodiment provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, etc., but are not limited thereto.

[0171] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0172] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for designing a combustion system controller for a biomass power generation unit based on expected closed-loop dynamic characteristics, characterized in that: The following steps are involved: 1) The combustion system of biomass generator set is described by using first-order transfer function plus time-delay transfer function: In formula (1), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator set combustion system to the start of the change of the furnace temperature, e is an exponential constant, G1(s) is the transfer function of the biomass generator set combustion system, K is the amplification value of the secondary air volume change of the biomass generator set combustion system on the furnace temperature, and T is the characterization parameter of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator set combustion system; among them, L, K, and T are obtained by pre-identification of the operation data of the biomass generator set combustion system; 2) Given the expected closed-loop dynamic response characteristics of the combustion system of a biomass power generation unit: In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5]; 3) Design the predictive proportional-integral control structure of the biomass generator combustion system based on the first-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics: The designed feedback proportional-integral controller is: The designed predictive controller is: The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral controller; The output of the feedback proportional-integral controller minus the output of the predictive controller is used as the input of the predictive controller; The output of the feedback proportional-integral controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, thus obtaining a prediction proportional-integral control structure; 4) Calculate the control parameters of the predicted proportional-integral control structure based on the adjustable parameter λ.

2. A method for designing a combustion system controller for a biomass power generation unit based on expected closed-loop dynamic characteristics, characterized in that: The following steps are involved: 1) The second-order transfer function plus the time-delay transfer function is used to describe the combustion system of the biomass generator set: In formula (2), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, G2(s) is the transfer function of the biomass generator combustion system, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, T1 and T2 are both characterization parameters of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system; 2) Given the expected closed-loop dynamic response characteristics of the combustion system of a biomass power generation unit: In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5]; 3) Design the predictive proportional-integral-derivative control structure of the biomass generator combustion system based on the second-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics: The designed feedback proportional-integral-derivative controller is: The designed predictive controller is: The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral-derivative controller; The output of the feedback proportional-integral-derivative controller minus the output of the predictive controller is used as the input of the predictive controller; The output of the feedback proportional-integral-differential controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, so as to obtain the prediction proportional-integral-differential control structure; 4) Calculate the control parameters of the predicted proportional-integral-derivative control structure based on the adjustable parameter λ.

3. A biomass generator combustion system controller design system based on expected closed-loop dynamic characteristics, characterized in that: include: The transfer function description module is used to describe the combustion system of the biomass generator set by using a first-order transfer function plus a time-delay transfer function; wherein the transfer function G1(s) of the combustion system of the biomass generator set is: In formula (1), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, and T is the characterization parameter of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system; among them, L, K, and T are obtained by pre-identification of the operation data of the biomass generator combustion system; The expected closed-loop dynamic response characteristic setting module is used to set the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit; wherein the given expected closed-loop dynamic response characteristic is: In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5]; The predictive proportional-integral control structure design module is used to design the predictive proportional-integral control structure of the biomass generator combustion system based on the first-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics; The designed feedback proportional-integral controller is: The designed predictive controller is: The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral controller; The output of the feedback proportional-integral controller minus the output of the predictive controller is used as the input of the predictive controller; The output of the feedback proportional-integral controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, thus obtaining a prediction proportional-integral control structure; The control parameter calculation module is used to calculate the control parameters of the predicted proportional-integral control structure based on the adjustable parameter λ.

4. A biomass generator combustion system controller design system based on expected closed-loop dynamic characteristics, characterized in that: include: The transfer function description module is used to describe the combustion system of the biomass generator set by using a second-order transfer function plus a time-delay transfer function; wherein the transfer function G2(s) of the combustion system of the biomass generator set is: In formula (2), s is the Laplace operator, L is the time delay from the change of the secondary air volume of the biomass generator combustion system to the start of the change of the furnace temperature, e is an exponential constant, G2(s) is the transfer function of the biomass generator combustion system, K is the amplification value of the change of the secondary air volume of the biomass generator combustion system on the furnace temperature, T1 and T2 are both characterization parameters of the change of the furnace temperature caused by the change of the secondary air volume of the biomass generator combustion system; The expected closed-loop dynamic response characteristic setting module is used to set the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit; wherein the given expected closed-loop dynamic response characteristic is: In formula (3), G cl (s) is the expected closed-loop dynamic response characteristic of the combustion system of the biomass power generation unit, λ is the adjustable parameter of the expected closed-loop dynamic response characteristic, and λ∈[0.2,1.5]; The predictive proportional-integral-differential control structure design module is used to design the predictive proportional-integral-differential control structure of the biomass generator combustion system based on the second-order transfer function plus the time-delay transfer function and the expected closed-loop dynamic response characteristics; The designed feedback proportional-integral-derivative controller is: The designed predictive controller is: The deviation between the set value and the output value of the combustion system of the biomass power generation unit is used as the input of the feedback proportional-integral-derivative controller; The output of the feedback proportional-integral-derivative controller minus the output of the predictive controller is used as the input of the predictive controller; The output of the feedback proportional-integral-differential controller minus the output of the prediction controller is sent as the control quantity to the actuator of the combustion system of the biomass generator set, so as to obtain the prediction proportional-integral-differential control structure; The control parameter calculation module is used to calculate the control parameters of the predicted proportional-integral-derivative control structure based on the adjustable parameter λ.

5. A biomass generator combustion system controller based on expected closed-loop dynamic characteristics, characterized in that: The design is carried out using the biomass generator set combustion system controller design method based on expected closed-loop dynamic characteristics as described in claim 1 or 2.

6. A biomass generator combustion system controller design device, characterized in that: include: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors execute the steps of the method for designing a controller for a biomass power generation unit combustion system based on expected closed-loop dynamic characteristics as described in claim 1 or 2.

7. A computer-readable storage medium storing a computer program, characterized in that: When the program is executed by a processor, the steps of the method for designing a controller for a combustion system of a biomass power generation unit based on expected closed-loop dynamic characteristics as described in claim 1 or 2 are implemented.

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