Dynamic control method and device for pod turbine power generation device and medium

Abstract

The invention discloses a dynamic control method and device for a pod turbine power generation device and a medium, and relates to the technical field of electronic pod self-power generation. The method comprises the steps that a turbine power generation device characteristic map is searched based on feedforward information, a dynamic first-order target rotating speed is solved through a relation between generated power and rotating speed, and the dynamic first-order target rotating speed is calculated through a fuzzy step target rotating speed principle; the dynamic second-order target rotating speed is determined, the opening degree of the guide vane is controlled and adjusted, the actual rotating speed of the turbine shaft system is stabilized near the dynamic second-order target rotating speed, then dynamic control over the rotating speed of the turbine shaft system under the dynamic load and dynamic flight working conditions is achieved, and the real-time matching requirement of the generated power requirement and the actual generated power is met.

Description

Technical Field

[0001] The invention relates to the technical field of electronic pod self-generation, and in particular to a dynamic control method, device and medium of a pod turbine generator. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.

[0003] At present, the contradiction between the electronic pod's dependence on the carrier platform for electricity and its growing electricity demand has become increasingly prominent. With the increase in equipment power, the power consumption problem has become the main problem restricting the combat effectiveness of the electronic pod; secondly, when the electronic pod relies on the carrier platform for electricity, the cable layout is complicated and occupies the equipment compartment space; thirdly, the large step and repetitive frequency change load characteristics of the electronic pod pose severe challenges to the power supply and distribution system of the carrier platform; in summary, the self-generation technology of the electronic pod is imminent.

[0004] The electronic pod based on self-generation technology is self-sufficient in electricity and decoupled from the carrier platform. In order to adapt to the large step and repetition rate change load characteristics of the electronic pod, the power generation system in the electronic pod needs to achieve real-time matching of power generation capacity to load, which undoubtedly poses a severe challenge to the control of the power generation system. Among the existing public patents, few patents involve control methods for pod platform devices that also have power generation capabilities. Invention patent CN 117390985 A proposes a modeling and control method for a turbine power generation system, but does not elaborate on the target speed control strategy under dynamic conditions. Invention patent CN 117365676 A discloses a speed control of a turbine power generation device that adapts to dynamic loads. The dynamic target speed calculation method based on load power has the problem of frequent adjustment when responding to dynamic loads, and there is no response to changes in flight conditions. Therefore, it is necessary to propose a dynamic control method for a pod turbine generator device to meet the application needs of electronic pod self-generation technology. Summary of the invention

[0005] The purpose of the present invention is to provide a dynamic control method, device and medium for a pod turbine generator device in response to the problems existing in the prior art. Based on the power generation capacity characteristic map of the pod turbine generator device, the method realizes real-time matching of power generation capacity with power load by using strategies such as dynamic target speed solution, fuzzy step target speed determination and minimum speed limit, thereby ensuring stable operation of electronic equipment, fast and efficient control of the speed of the power generation device, and stable operation within a reasonable speed range of the device.

[0006] The technical solution of the present invention is as follows:

[0007] A dynamic control method for a pod turbine generator, comprising:

[0008] The characteristic map of the turbine generator is searched based on the feedforward information, and the dynamic first-order target speed is solved through the relationship between the power generation power and the speed. The dynamic second-order target speed is determined through the fuzzy step target speed principle, and the guide vane opening is controlled and adjusted to stabilize the actual speed of the turbine shaft system near the dynamic second-order target speed, thereby realizing dynamic control of the turbine shaft system speed under dynamic load and dynamic flight conditions.

[0009] Furthermore, the feedforward information includes: real-time power generation demand and real-time flight parameters.

[0010] Furthermore, the method specifically includes the following steps:

[0011] Step S1: The host computer sends the next pod load working mode instruction, thereby calculating the required real-time power generation P1;

[0012] Step S2: The host computer sends down flight parameter information in real time, including the current flight altitude H and flight speed v;

[0013] Step S3: Based on the turbine generator characteristic map, find the maximum power generation capacity P at the current flight altitude H and flight speed v max , rated speed n0, maximum speed n max , minimum speed n min ;

[0014] Step S4: If P1>P max , indicating that the turbine generator does not meet the current power demand, and replies this information to the host computer, updates the instruction or reduces the use; if P1≤P max , indicating that the turbine generator meets the current power generation demand;

[0015] Step S5: Taking the power generation P1 as the target power generation, the dynamic first-order target speed n1 is solved by the relationship between the power generation and the speed P=K3(K1×n-1000×K2); wherein K1, K2 and K3 represent engineering coefficients;

[0016] Step S6: Establish the step target speed n by using the fuzzy step target speed principle k , if n1∈(n k-1 , n k ], determine the dynamic second-order target speed n2 = n k ; According to the minimum speed limit principle, if n1≤n min When the dynamic second-order target speed n2=n min ;

[0017] Step S7: Control and adjust the guide vane opening to make the actual turbine shaft speed n3∈[n2-Δn, n2+Δn];

[0018] Step S8: End the dynamic control process of the turbine generator.

[0019] Furthermore, in step S3, n max >n0>n min , and the difference between the three is an integer multiple of 1000, and the dimension is rpm.

[0020] Furthermore, in step S5, the value ranges of the engineering coefficient K1 and the engineering coefficient K2 are determined according to the characteristics of the turbine generator; and the value range of the engineering coefficient K3 is related to the flight altitude.

[0021] Furthermore, in step S5, the step target speed n k =n min +m×k, where k is a positive integer and any n min ≤n k ≤n max , m is an integer multiple of 1000 and its dimension is rpm.

[0022] Furthermore, in step S7, Δn=100-300, and the dimension is rpm.

[0023] Furthermore, in step S5, the value range of the engineering coefficient K1 is 1.5≤K1≤1.7, the value range of the engineering coefficient K2 is 1.20≤K2≤1.40, and the value range of the engineering coefficient K3 is 0.5≤K3≤1.2.

[0024] A dynamic control device for a pod turbine generator comprises: a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of a dynamic control method for a pod turbine generator are implemented as described above.

[0025] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of a dynamic control method of a pod turbine power generation device as described above are implemented.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. The present invention realizes real-time matching of power generation capacity with power load based on strategies such as dynamic target speed solution, fuzzy step target speed determination and minimum speed limit, thereby ensuring stable operation of electronic equipment, fast and efficient speed control of power generation device, and stable operation within a reasonable speed range of the device.

[0028] 2. The present invention uses the relationship between power generation and rotation speed, and adopts test data fitting and extrapolation to achieve the control of turbine generator devices under dynamic flight conditions at different altitudes and dynamic loads.

[0029] 3. The present invention provides a comprehensive relationship between power generation and speed and fuzzy target speed principle, solves the dynamic first-order and second-order target speeds in turn, realizes real-time load matching, reduces the adjustment frequency of the flow regulating device and improves the operating stability of the shaft system when responding to dynamic loads. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flow chart of a dynamic control method of a pod turbine generator;

[0031] Figure 2 It is the schematic diagram of solving the fuzzy step target speed and the minimum speed limit;

[0032] Figure 3 The figure is a schematic diagram of a turbine power generation device applicable to the present invention.

[0033] Figure numerals: 1-intake duct, 2-turbine, 3-generator, 4-controller, 5-exhaust duct, 6-flow regulating device, 7-electronic load. DETAILED DESCRIPTION

[0034] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0035] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

[0036] Embodiment 1

[0037] A dynamic control method for a pod turbine generator, comprising:

[0038] Based on the real-time power generation demand, real-time flight parameters and other feedforward information, the characteristic map of the turbine generator is searched, and the dynamic first-order target speed is solved by the relationship between power generation and speed. The dynamic second-order target speed is determined by the fuzzy step target speed principle, and the guide vane opening is controlled and adjusted to stabilize the actual speed of the turbine shaft system near the dynamic second-order target speed, thereby realizing dynamic control of the turbine shaft system speed under dynamic load and dynamic flight conditions to meet the real-time matching requirements of power generation demand and actual power generation.

[0039] See also Figure 1-Figure 2 In this embodiment, a dynamic control method of a pod turbine generator device specifically includes the following steps:

[0040] Step S1: The host computer sends the next pod load working mode instruction, thereby calculating the required real-time power generation P1;

[0041] Step S2: The host computer sends down flight parameter information in real time, including the current flight altitude H and flight speed v;

[0042] Step S3: Based on the turbine generator characteristic map, find the maximum power generation capacity P at the current flight altitude H and flight speed v max , rated speed n0, maximum speed n max , minimum speed n min ;

[0043] Step S4: If P1>P max , indicating that the turbine generator does not meet the current power demand, and replies this information to the host computer, updates the instruction or reduces the use; if P1≤P max , indicating that the turbine generator meets the current power generation demand;

[0044] Step S5: Taking the power generation P1 as the target power generation, the dynamic first-order target speed n1 is solved by the relationship between the power generation and the speed P=K3(K1×n-1000×K2); wherein K1, K2 and K3 represent engineering coefficients;

[0045] Step S6: Establish the step target speed n by using the fuzzy step target speed principle k , if n1∈(n k-1 , n k ], determine the dynamic second-order target speed n2 = n k ; According to the minimum speed limit principle, if n1≤n min When the dynamic second-order target speed n2=n min ;

[0046] Step S7: Control and adjust the guide vane opening to make the actual turbine shaft speed n3∈[n2-Δn, n2+Δn];

[0047] Step S8: End the dynamic control process of the turbine generator.

[0048] In this embodiment, specifically, in step S3, n max >n0>n min , and the difference between the three is an integer multiple of 1000, and the dimension is rpm.

[0049] In this embodiment, specifically, in step S5, the value ranges of the engineering coefficient K1 and the engineering coefficient K2 are determined according to the characteristics of the turbine generator; the value range of the engineering coefficient K3 is related to the flight altitude.

[0050] In this embodiment, specifically, in step S5, the step target speed n k =n min +m×k, where k is a positive integer and any n min ≤n k ≤n max , m is an integer multiple of 1000 and its dimension is rpm.

[0051] In this embodiment, specifically, in step S7, Δn=100-300, and the dimension is rpm.

[0052] In this embodiment, specifically, in step S5, the value range of the engineering coefficient K1 is 1.5≤K1≤1.7, the value range of the engineering coefficient K2 is 1.20≤K2≤1.40, and the value range of the engineering coefficient K3 is 0.5≤K3≤1.2.

[0053] It should be noted that this control method uses the flight parameter information sent by the host computer to evaluate whether the maximum power generation capacity can meet the real-time power generation demand based on the characteristic map of the turbine generator device, or implants the corresponding maximum power generation capacity under different flight conditions into the host computer in advance, thereby filtering out the working conditions outside the capacity range and realizing dynamic control and load matching of the turbine shaft speed under dynamic load and dynamic flight conditions.

[0054] It should be noted that this control method fully considers the speed characteristics of the turbine and generator. There is a speed range suitable for long-term operation. Based on this, the maximum speed n of the turbine generator under different working conditions is set. max and minimum speed n min , avoiding problems such as generator demagnetization and turbine blade fatigue that may be caused by excessively high speed, while avoiding the risk of deviating from the reasonable speed range of the turbine at too low speed, thereby improving the operating stability of the turbine generator set.

[0055] It should be noted that this control method fully considers the speed characteristics of the turbine and generator, and the maximum power generation capacity P max, needs to be determined dynamically according to changes in flight conditions.

[0056] It should be noted that, by introducing the engineering coefficient K3 related to the flight altitude, this control method can be extrapolated to the relationship between the generated power and the rotational speed under high-altitude conditions based on ground test data, making the control method applicable to all flight conditions.

[0057] It should be noted that this control method does not require the dynamic target speed to be solved one-to-one according to the relationship between the generated power and the speed. A step-by-step target speed is used to solve the dynamic second-order target speed. Segmented control is performed based on the fuzzy control principle to avoid frequent changes in the shaft speed of the turbine generator under dynamic loads and dynamic conditions. At the same time, it avoids frequent adjustments and changes in the opening of the flow control device under conditions where the load demand power changes slightly, reduces the adjustment frequency of the flow control device, and improves the operating stability of the shaft system when responding to dynamic loads.

[0058] In this embodiment, a dynamic control device for a pod turbine generator is also proposed, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of a dynamic control method for a pod turbine generator as described above when executing the computer program; preferably, the computer program can be executed on a terminal device, such as a personal computer.

[0059] In this embodiment, a computer-readable storage medium is also proposed, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of a dynamic control method of a pod turbine power generation device as described above are implemented.

[0060] However, the apparatus of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0061] The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection with one or more conductors, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0062] The computer readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by an instruction execution system, an apparatus, or a device or used in combination with it. The program code contained on the readable storage medium may be transmitted with any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

[0063] Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0064] Embodiment 2

[0065] Embodiment 2 proposes a turbine power generation device applicable to the present invention, as shown in the schematic diagram Figure 3 As shown, its working principle is as follows:

[0066] The pod generates free inflow during the flight of the carrier platform. Ram air enters through the air inlet 1 with deceleration and pressure increase, flows through the flow regulating device 6 at the front end of the flow turbine 2, and then enters the turbine 2, driving the turbine to rotate and output shaft work. The airflow flows through the outer edge of the generator and is discharged out of the pod through the exhaust duct 5. At the same time, the turbine drives the rotor part of the generator 3 installed coaxially with it to rotate, cut the magnetic lines of induction, and convert the shaft work into electrical energy. The electrical energy is rectified by the controller 4 and supplied to the electronic load 7, completing the complete process of power generation and power consumption.

[0067] Specific dynamic control process example:

[0068] When facing dynamic loads and dynamic flight conditions, the host computer sends work instructions and flight parameters to the controller 4, and finds the maximum power generation capacity P at the current flight altitude H and flight speed v based on the characteristic map of the turbine generator device. max , rated speed n0, maximum speed nmax , minimum speed n min .

[0069] If P1>P max , indicating that the turbine generator does not meet the current power demand, and replies this information to the host computer, updates the instruction or reduces the use; if P1≤P max , indicating that the turbine generator meets the current power generation demand.

[0070] Taking the generated power P1 as the target generated power, the dynamic first-order target speed n1 is solved through the relationship between the generated power and the speed P=K3(K1×n-1000×K2).

[0071] Through the fuzzy step target speed principle, the step target speed n is established. k , if n1∈(n k-1 , n k ], determine the dynamic second-order target speed n2 = n k ; According to the minimum speed limit principle, if n1≤n min When the dynamic second-order target speed n2=n min .

[0072] Control and adjust the guide vane opening to make the actual turbine shaft speed n3∈[n2-Δn ， n2+Δn], ending the dynamic control process of the turbine generator.

[0073] The above-mentioned embodiments only express the specific implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the protection scope of the present application. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the technical solution concept of the present application, and these all belong to the protection scope of the present application.

[0074] This background section is provided to generally present the context of the invention, and the work of the presently named inventors, the work to the extent described in this background section, and aspects of the description in this section that did not constitute prior art at the time of application are neither explicitly nor implicitly admitted to be prior art to the present invention.

Claims

1. A dynamic control method for a nacelle turbine generator, characterized in that: include: The characteristic map of the turbine generator is searched based on the feedforward information, and the dynamic first-order target speed is solved through the relationship between the power generation power and the speed. The dynamic second-order target speed is determined through the fuzzy step target speed principle, and the guide vane opening is controlled and adjusted to stabilize the actual speed of the turbine shaft system near the dynamic second-order target speed, thereby realizing dynamic control of the turbine shaft system speed under dynamic load and dynamic flight conditions.

2. A dynamic control method for a nacelle turbine generator according to claim 1, characterized in that: The feedforward information includes: real-time power generation demand and real-time flight parameters.

3. A dynamic control method for a nacelle turbine generator according to claim 2, characterized in that: The specific steps include: Step S1: The host computer sends the next pod load working mode instruction, thereby calculating the required real-time power generation P1; Step S2: The host computer sends down flight parameter information in real time, including the current flight altitude H and flight speed v; Step S3: Based on the turbine generator characteristic map, find the maximum power generation capacity P at the current flight altitude H and flight speed v max , rated speed n0, maximum speed n max , minimum speed n min ; Step S4: If P1>P max , indicating that the turbine generator does not meet the current power demand, and replies this information to the host computer, updates the instruction or reduces the use; if P1≤P max , indicating that the turbine generator meets the current power generation demand; Step S5: Taking the power generation P1 as the target power generation, the dynamic first-order target speed n1 is solved by the relationship between the power generation and the speed P=K3(K1×n-1000×K2); wherein K1, K2 and K3 represent engineering coefficients; Step S6: Establish the step target speed n by using the fuzzy step target speed principle k , if n1∈(n k-1 , n k ], determine the dynamic second-order target speed n2 = n k ; According to the minimum speed limit principle, if n1≤n min When the dynamic second-order target speed n2=n min ; Step S7: Control and adjust the guide vane opening to make the actual turbine shaft speed n3∈[n2-Δn, n2+Δn]; Step S8: End the dynamic control process of the turbine generator.

4. A dynamic control method for a nacelle turbine generator according to claim 3, characterized in that: In step S3, n max >n0>n min , and the difference between the three is an integer multiple of 1000, and the dimension is rpm.

5. The dynamic control method of a nacelle turbine generator according to claim 3, characterized in that: In step S5, the value ranges of the engineering coefficients K1 and K2 are determined according to the characteristics of the turbine generator; the value range of the engineering coefficient K3 is related to the flight altitude.

6. The dynamic control method of a nacelle turbine generator according to claim 3, characterized in that: In step S5, the step target speed n k =n min +m×k, where k is a positive integer and any n min ≤n k ≤n max , m is an integer multiple of 1000 and its dimension is rpm.

7. A dynamic control method for a nacelle turbine generator according to claim 3, characterized in that: In the step S7, Δn=100-300, and the dimension is rpm.

8. The dynamic control method of a nacelle turbine generator according to claim 5, characterized in that: In step S5, the value range of the engineering coefficient K1 is 1.5≤K1≤1.7, the value range of the engineering coefficient K2 is 1.20≤K2≤1.40, and the value range of the engineering coefficient K3 is 0.5≤K3≤1.

2.

9. A dynamic control device for a pod turbine generator, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of a dynamic control method for a pod turbine generator as described in any one of claims 1 to 8 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a dynamic control method of a nacelle turbine power generation device as described in any one of claims 1 to 8 are implemented.

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