Method and system for controlling half-value current of redundant analog output module of gas turbine

Abstract

The invention relates to the technical field of gas turbine control, and discloses a gas turbine redundant analog quantity output module half-value current control method and system. The method comprises the steps of collecting state parameters of main and standby modules to construct a data set, calculating and correcting a health degree index through a weighted fusion algorithm, performing linear mapping according to a health degree difference value to obtain a dynamic current distribution proportion, and generating a current output instruction through hysteresis comparison and progressive updating. The reliability and the resource utilization efficiency of the redundant system are improved.

Description

Technical Field

[0001] This application relates to the field of gas turbine control technology, and in particular to a method and system for controlling the half-value current of a gas turbine redundant analog output module. Background Technology

[0002] As a core component of the gas turbine unit, the gas turbine control system's analog output module is responsible for providing precise current drive signals to critical equipment such as fuel regulating valves and guide vane actuators. To improve system reliability, existing technologies generally employ a redundant configuration scheme, configuring two analog output modules as backups for each other. When the primary module fails, the backup module takes over the output task. In traditional redundancy schemes, the primary and backup modules each output full-value current, and the primary / backup switching is achieved through external relays or diode isolation circuits. When the primary module is operating normally, it outputs a complete control signal of 4 to 20 mA, while the backup module is in a hot standby state but does not actually output. To reduce the current step impact during fault switching, some technical solutions propose a half-value current control method. In this method, the primary and backup modules each output 50% of the target current during normal operation. The two currents are connected in parallel and combined to form the control signal. When either module fails, the 50% output of the other module only generates a 50% current step, which reduces the impact on the actuators compared to the full-value switching scheme.

[0003] However, the existing fixed 50% to 50% half-value current distribution scheme has significant shortcomings. This scheme mechanically distributes the output responsibility equally between the primary and backup modules, completely ignoring the differences in the actual health status of the two modules. When one module's performance begins to deteriorate due to long-term operation, changes in ambient temperature, or minor faults, but has not yet completely failed, it is still required to bear 50% of the output task. This situation accelerates the evolution of the deteriorating module towards complete failure, reducing the overall system reliability. At the same time, the fixed distribution scheme is a passive response mechanism, only triggering the switching action after a module completely fails. It lacks the ability to predict the trend of module performance degradation and cannot take preventive measures before a failure occurs, resulting in a significant impact of the failure on the system. Summary of the Invention

[0004] This application provides a half-value current control method and system for redundant analog output modules of gas turbines. By constructing a health assessment system based on multi-dimensional state parameters and combining it with a progressive adjustment mechanism with hysteresis, it solves the problem that existing fixed allocation schemes cannot adapt to the accelerated degradation caused by differences in module health, thereby improving the reliability and resource utilization efficiency of redundant systems.

[0005] In a first aspect, this application provides a method for controlling the half-value current of a gas turbine redundant analog output module, the method comprising: Step S1: Collect the output current deviation rate, response delay time, output current fluctuation variance, and operating temperature of the main analog output module and the backup analog output module to construct the original state parameter dataset; Step S2: The original state parameter dataset is used to perform health measurement calculation through a four-dimensional parameter weighted fusion algorithm to obtain the main module corrected health index and the backup module corrected health index respectively; Step S3: Perform a linear mapping based on the difference between the corrected health index of the main module and the corrected health index of the backup module, and apply boundary constraints to obtain the dynamic current allocation ratio of the main module and the dynamic current allocation ratio of the backup module. Step S4: Compare the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio with the hysteresis threshold. When the absolute difference is greater than or equal to the hysteresis threshold, perform a progressive update according to the ramp adjustment rate to obtain the actual execution allocation ratio of the main module. Generate the main module current output command and the backup module current output command based on the product of the actual execution allocation ratio of the main module and the total target output current.

[0006] Secondly, this application provides a half-value current control system for a gas turbine redundant analog output module, the half-value current control system for the gas turbine redundant analog output module includes: The module is used to collect the output current deviation rate, response delay time, output current fluctuation variance and operating temperature of the main analog output module and the backup analog output module to build the original state parameter dataset. The quantization module is used to perform health quantification calculation on the original state parameter dataset through a four-dimensional parameter weighted fusion algorithm to obtain the main module corrected health index and the backup module corrected health index, respectively. The mapping module is used to perform linear mapping and apply boundary constraints based on the difference between the corrected health index of the main module and the corrected health index of the backup module to obtain the dynamic current allocation ratio of the main module and the dynamic current allocation ratio of the backup module. The comparison module is used to compare the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio with the hysteresis threshold. When the absolute difference is greater than or equal to the hysteresis threshold, it performs a progressive update according to the ramp adjustment rate to obtain the actual execution allocation ratio of the main module. The module generates the main module current output command and the backup module current output command based on the product of the actual execution allocation ratio of the main module and the total target output current.

[0007] Thirdly, a half-value current control device for a gas turbine redundant analog output module is provided, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor invokes the instructions in the memory to cause the gas turbine redundant analog output module half-value current control device to execute the above-described gas turbine redundant analog output module half-value current control method.

[0008] Fourthly, a computer-readable storage medium is provided, wherein instructions are stored therein, which, when executed on a computer, cause the computer to perform the above-described method for controlling the half-value current of a gas turbine redundant analog output module.

[0009] The technical solution provided in this application constructs an original state parameter dataset by collecting the output current deviation rate, response delay time, output current fluctuation variance, and operating temperature of the primary and backup analog output modules. This breaks through the simple approach of existing technologies that only monitor the on / off state of the modules, achieving a multi-dimensional and refined quantitative characterization of the module's operating status, and providing a comprehensive data foundation for subsequent health assessment. The original state parameter dataset is then used to perform health quantification calculations using a four-dimensional parameter weighted fusion algorithm to obtain a corrected health index for the primary and backup modules. This innovatively combines the real-time performance indicators of the modules with historical degradation trends, forming a quantitative assessment system that comprehensively reflects the current health status of the modules, solving the problem that existing technologies cannot identify differences in module performance. A dynamic current allocation ratio is obtained by linearly mapping the difference between the corrected health indices of the primary and backup modules and applying boundary constraints. This allows the module with a better health status to bear more output responsibility, avoiding the problem of degraded modules being accelerated to fail due to overload in a fixed 50% to 50% allocation scheme, significantly improving the overall reliability and resource utilization efficiency of the redundant system. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of an embodiment of the half-value current control method for the redundant analog output module of a gas turbine in this application. Figure 2 This is a schematic diagram of an embodiment of the half-value current control system for the redundant analog output module of the gas turbine in this application. Figure 3 This is a schematic block diagram of the half-value current control device for the redundant analog output module of the gas turbine in this embodiment of the invention. Detailed Implementation

[0012] This application provides a method and system for controlling the half-value current of a redundant analog output module for a gas turbine. The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0013] For ease of understanding, the specific process of the embodiments of this application is described below. Please refer to [link / reference]. Figure 1 One embodiment of the half-value current control method for the redundant analog output module of a gas turbine in this application includes: Step S1: Collect the output current deviation rate, response delay time, output current fluctuation variance, and operating temperature of the main analog output module and the backup analog output module to construct the original state parameter dataset; Specifically, in the actual operation of the gas turbine control system, the primary and backup analog output modules monitor the output current in real time through their respective current sampling loops, with the control cycle set to 50 milliseconds. The output current deviation rate is calculated based on the relative error between the actual output current value and the target command value issued by the controller. The response delay time is obtained by setting a millisecond-level timestamp in the controller to mark the time interval between the issuance of the current command and the actual current reaching 95% of the target value. The output current fluctuation variance is calculated by using the statistical variance formula for the current value sequence collected within 20 consecutive control cycles. The operating temperature is directly measured by the platinum resistance temperature sensor integrated in the module base, and historical operating data is read from the EEPROM non-volatile memory of the control system according to a preset data structure.

[0014] Step S2: The original state parameter dataset is used to perform health measurement calculation through a four-dimensional parameter weighted fusion algorithm to obtain the main module corrected health index and the backup module corrected health index respectively; Specifically, the weighting coefficients in the four-dimensional parameter weighted fusion algorithm are determined based on the sensitivity of the gas turbine control to different performance indicators. The output accuracy weight is set to 0.35 to reflect the direct impact of current deviation on the control effect; the response speed weight is set to 0.30 to reflect the requirements of rapid start-up and shutdown of the gas turbine for the dynamic response of the module; the stability weight is set to 0.25 to focus on the impact of current fluctuations on the actuator; and the thermal state weight is set to 0.10 to consider the impact of temperature on the long-term reliability of the module. Normalization maps each parameter to the range of 0 to 1, with the output current deviation rate set to an allowable upper limit of 5%, the response delay time processed as an exponential function so that the smaller the delay, the closer the normalized value is to 1, the output current fluctuation variance set to an allowable upper limit of 0.5 mA, and the operating temperature set to an allowable upper limit of 75 degrees Celsius. Historical degradation correction is achieved by multiplying the cumulative operating time reduction factor and the historical failure count reduction factor to correct the time scale of real-time health.

[0015] Step S3: Perform linear mapping and apply boundary constraints based on the difference between the corrected health index of the main module and the corrected health index of the backup module to obtain the dynamic current allocation ratio of the main module and the dynamic current allocation ratio of the backup module. Specifically, the sign of the health difference value directly determines the offset direction of the current distribution ratio. A positive difference value indicates that the main module is in better health and should bear more output responsibility, while a negative difference value indicates the opposite. The baseline value of 0.5 in the linear mapping corresponds to the traditional half-value current distribution scheme. The distribution ratio adjustment coefficient of 0.25 controls the magnitude of the impact of health difference on the distribution ratio. If this coefficient is too large, the distribution ratio will change drastically; if it is too small, the response will be sluggish. The upper limit of the boundary constraints of 0.70 and the lower limit of 0.30 ensure that the output responsibility of any module is not overloaded or too light. When the calculated initial distribution ratio exceeds this range, it is forcibly limited to the boundary value. The distribution ratio of the backup module is always calculated by subtracting the complementary relationship of the distribution ratio of the main module from 1 to ensure that the sum of the two is always 1.

[0016] Step S4: Compare the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio with the hysteresis threshold. When the absolute difference is greater than or equal to the hysteresis threshold, perform a progressive update according to the ramp adjustment rate to obtain the actual execution allocation ratio of the main module. Then, generate the main module current output command and the backup module current output command based on the product of the actual execution allocation ratio of the main module and the total target output current.

[0017] Specifically, the hysteresis threshold is set to 0.02, or 2%, of the allocation ratio change. Small changes below this threshold are filtered out to prevent output oscillation. When adjustment is required, the ramp adjustment rate limits the maximum change in the allocation ratio per unit time to 1%, or 0.01 per second, corresponding to a maximum single-cycle adjustment of 0.0005 within a 50-millisecond control cycle. The adjustment direction is determined by a sign function of the current calculated value and the historical execution value. Progressive updates gradually approach the target allocation ratio by adding the historical execution value to the adjustment direction multiplied by the single-cycle adjustment amount. The generation of the main and backup module current output commands multiplies the total target output current by their respective actual execution allocation ratios. These two commands, after digital-to-analog conversion and power amplification by the modules, are externally connected in parallel to form the drive current for the actuator.

[0018] In one specific embodiment, step S1 includes: The actual output current value is acquired by the current readback circuit, and the target output current value is extracted from the controller to calculate the output current deviation rate. The response delay time is obtained by measuring the time required for the current to reach the target value through a timestamp recording mechanism. The variance of the output current fluctuation is obtained by calculating the variance of the current value sequence within a continuous period. The operating temperature is collected by a temperature sensor, and historical operating data is read from the memory to construct a raw state parameter dataset.

[0019] Specifically, the normalization process maps four parameters with different dimensions to a dimensionless range of 0 to 1. The output current deviation rate is normalized by subtracting its ratio to the maximum permissible deviation rate of 5% from 1. The response delay time is normalized using an exponential decay function with a base of 50 milliseconds, resulting in a larger normalized value for shorter delay times. The output current fluctuation variance is normalized by subtracting its ratio to the maximum permissible standard deviation of 0.5 mA from 1. The operating temperature is normalized by subtracting its ratio to the maximum permissible operating temperature of 75 degrees Celsius from 1. The four normalized values ​​are multiplied by their corresponding weighting coefficients of 0.35, 0.30, 0.25, and 0.10, respectively, and then summed. The sum of these weighting coefficients is strictly equal to 1, ensuring that the initial health index ranges between 0 and 1. Values ​​close to 1 indicate that the module is in optimal health, while values ​​close to 0 indicate severe performance degradation.

[0020] The working time reduction factor is calculated by subtracting the ratio of cumulative working time to the annual working hours of 8760 from 1, and then multiplying by the annual degradation rate of 0.05. This factor reflects the performance degradation of the module as its usage time increases. The failure reduction factor is calculated by subtracting the product of the number of historical failures and the single failure degradation rate of 0.10 from 1. This factor reflects the cumulative impact of historical failures on the current health status of the module. The initial health index is then multiplied sequentially by the working time reduction factor and the failure reduction factor. Through two reduction corrections, the instantaneous state assessment of the module is combined with the long-term degradation trend. The same calculation process is performed for both the primary analog output module and the backup analog output module, ultimately yielding a corrected health index that comprehensively reflects the module's real-time performance and historical degradation level.

[0021] In one specific embodiment, step S2 includes: The output current deviation rate, response delay time, output current fluctuation variance, and operating temperature are normalized, multiplied by their corresponding weighting coefficients, and summed to obtain the initial health index. Calculate the working time reduction factor based on the cumulative working time, and calculate the failure reduction factor based on the number of historical failures; Multiply the initial health index by the working time reduction factor and the failure reduction factor to obtain the main module corrected health index and the backup module corrected health index, respectively.

[0022] Specifically, the health difference value is obtained by subtracting the backup module's health correction index from the main module's health correction index. Theoretically, this difference value ranges from -1 to +1. A positive value indicates that the main module is in better health than the backup module and should bear more output responsibility; a negative value indicates that the backup module is in better health; and a zero value indicates that both are in comparable health. Multiplying the health difference value by the allocation ratio adjustment coefficient of 0.25 achieves a linear mapping from the difference value to the allocation ratio offset. Adding this product to the baseline value of 0.5 yields the initial main module allocation ratio. The baseline value of 0.5 corresponds to the neutral state of traditional fixed half-value current allocation. The adjustment coefficient of 0.25 ensures that when the health difference is 0.20, the allocation ratio shifts by 0.05, or 5 percentage points.

[0023] The initial current allocation ratio of the main module is subject to boundary constraints. When the calculated value exceeds the upper limit of 0.70, it is forcibly truncated to 0.70; when the calculated value is below the lower limit of 0.30, it is forcibly increased to 0.30. This constraint ensures that the current output responsibility of any module is maintained within a reasonable range of 30% to 70%, preventing unilateral overload or light load. The value after boundary constraints is the dynamic current allocation ratio of the main module. The dynamic current allocation ratio of the backup module is directly calculated by subtracting the dynamic current allocation ratio of the main module from 1. This complementary relationship mathematically guarantees that the sum of the two allocation ratios is always equal to 1, ensuring that the output current of the main and backup modules can accurately reach the total target output current value after being externally connected in parallel.

[0024] In one specific embodiment, step S3 includes: Calculate the difference between the corrected health index of the main module and the corrected health index of the spare module to obtain the health difference value; The initial main module allocation ratio is obtained by multiplying the health difference value by the allocation ratio adjustment coefficient and then adding it to the benchmark value. Apply upper and lower limit constraints to the initial main module allocation ratio to obtain the dynamic current allocation ratio of the main module; The dynamic current distribution ratio of the spare module is calculated based on the complementary relationship.

[0025] Specifically, the health difference value is directly obtained by algebraically subtracting the backup module's health correction index from the primary module's health correction index. This difference value is a signed real number; a positive value indicates that the primary module's health is better than the backup module's, while a negative value indicates that the backup module's health is better. The absolute value reflects the degree of the health difference. Multiplying the health difference value by the allocation ratio adjustment coefficient 0.25 achieves a linear mapping from the health space to the allocation ratio space. The resulting product represents the offset relative to the equilibrium state. This offset is added to the baseline value 0.5 to obtain the initial primary module allocation ratio. The baseline value 0.5 corresponds to a traditional half-value allocation state where the primary and backup modules each bear 50% of the output. The adjustment coefficient controls the sensitivity of the health difference's influence on the allocation ratio.

[0026] The initial allocation ratio of the main module needs to be determined by boundary constraints. When the value is greater than the upper limit of 0.70, a forced limit is applied, setting it to 0.70. When the value is less than the lower limit of 0.30, a forced increase is applied, setting it to 0.30. When the value is between 0.30 and 0.70, the original value remains unchanged. The value after this constraint processing is defined as the dynamic current allocation ratio of the main module. The dynamic current allocation ratio of the backup module is obtained by subtracting the dynamic current allocation ratio of the main module from the value 1. This complementary calculation relationship mathematically ensures that the algebraic sum of the two allocation ratios is strictly equal to 1, guaranteeing that the sum of the currents output by the main and backup modules according to their respective allocation ratios after external parallel connection is equal to the total output current required by the control target.

[0027] In one specific embodiment, the base value is 0.5, the allocation ratio adjustment coefficient is 0.25, the upper limit of the upper and lower limit constraints is 0.70, and the lower limit is 0.30. The complementary relationship is that the dynamic current allocation ratio of the backup module is equal to 1 minus the dynamic current allocation ratio of the main module.

[0028] In one specific embodiment, step S4 includes: Calculate the absolute difference between the dynamic current distribution ratio of the main module and the historical execution distribution ratio; When the absolute difference is less than the hysteresis threshold, the historical execution allocation ratio remains unchanged. When the absolute difference is greater than or equal to the hysteresis threshold, the historical execution allocation ratio is updated according to the adjustment direction and ramp adjustment rate to obtain the actual execution allocation ratio of the main module. The total target output current is multiplied by the actual allocation ratio of the main module and the actual allocation ratio of the backup module, respectively, to generate the main module current output command and the backup module current output command.

[0029] Specifically, the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio is calculated by taking the absolute value of the difference between the two. This absolute difference reflects the change in the currently calculated target allocation ratio relative to the actual execution value of the previous control cycle. When the absolute difference is less than the hysteresis threshold of 0.02, it is determined that the change in the allocation ratio is too small and no adjustment is needed. The historical execution allocation ratio is directly used as the actual execution allocation ratio of the main module in the current control cycle. When the absolute difference is greater than or equal to the hysteresis threshold of 0.02, it is determined that the allocation ratio needs to be adjusted. The adjustment direction is determined by the sign function, which determines the relationship between the dynamic current distribution ratio of the main module and the historical execution distribution ratio. When the former is greater than the latter, the adjustment direction is positive 1, indicating that the distribution ratio needs to be increased. When the former is less than the latter, the adjustment direction is negative 1, indicating that the distribution ratio needs to be decreased. The ramp adjustment rate is set to 0.01 per second, which means the maximum adjustment amplitude is 1% per second. Under the condition of a control cycle of 50 milliseconds, the maximum adjustment amount per cycle is 0.0005. The actual execution distribution ratio of the main module is calculated by adding the historical execution distribution ratio to the product of the adjustment direction and the actual adjustment amount per cycle. The actual adjustment amount per cycle is taken as the smaller value between the maximum adjustment amount per cycle and the absolute difference to ensure that over-adjustment is not achieved.

[0030] The actual allocation ratio of the backup module is calculated by subtracting the actual allocation ratio of the main module from 1, maintaining a complementary relationship with the main module. The main module's current output command is generated by multiplying the total target output current by the actual allocation ratio of the main module, and the backup module's current output command is generated by multiplying the total target output current by the actual allocation ratio of the backup module. The two current output commands are sent to the corresponding module's digital-to-analog conversion circuit, and after power amplification, drive the module's output terminal to generate the actual current. The output currents of the main and backup modules are externally connected in parallel and combined to the actuator input terminal to form the total drive current.

[0031] The foregoing described the half-value current control method for the redundant analog output module of the gas turbine in the embodiments of this application. The following describes the half-value current control system for the redundant analog output module of the gas turbine in the embodiments of this application. Please refer to [link to relevant documentation]. Figure 2 One embodiment of the half-value current control system for the redundant analog output module of the gas turbine in this application includes: The module is used to collect the output current deviation rate, response delay time, output current fluctuation variance and operating temperature of the main analog output module and the backup analog output module to build the original state parameter dataset. The quantization module is used to perform health quantification calculation on the original state parameter dataset through a four-dimensional parameter weighted fusion algorithm to obtain the main module corrected health index and the backup module corrected health index, respectively. The mapping module is used to perform linear mapping and apply boundary constraints based on the difference between the corrected health index of the main module and the corrected health index of the backup module to obtain the dynamic current allocation ratio of the main module and the dynamic current allocation ratio of the backup module. The comparison module is used to compare the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio with the hysteresis threshold. When the absolute difference is greater than or equal to the hysteresis threshold, it performs a progressive update according to the ramp adjustment rate to obtain the actual execution allocation ratio of the main module. The module generates the main module current output command and the backup module current output command based on the product of the actual execution allocation ratio of the main module and the total target output current.

[0032] above Figure 2 The half-value current control system of the redundant analog output module of the gas turbine in this embodiment of the invention is described in detail from the perspective of modular functional entities. The half-value current control device of the redundant analog output module of the gas turbine in this embodiment of the invention is described in detail from the perspective of hardware processing.

[0033] Reference Figure 3 This invention also provides a half-value current control device for a gas turbine redundant analog output module. This half-value current control device can be a server, and its internal structure can be as follows: Figure 3As shown, the gas turbine redundant analog output module half-value current control device includes a processor, memory, display screen, input device, network interface, and database connected via a system bus. The processor, designed as a computer, provides computational and control capabilities. The memory of the gas turbine redundant analog output module half-value current control device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the gas turbine redundant analog output module half-value current control device stores the data corresponding to this embodiment. The network interface of the gas turbine redundant analog output module half-value current control device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements the above-described method.

[0034] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the half-value current control device of the gas turbine redundant analog output module applied thereto.

[0035] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the steps of the half-value current control method for the redundant analog output module of the gas turbine.

[0036] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0037] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a gas turbine redundant analog output module half-value current control device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0038] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling the half-value current of a redundant analog output module in a gas turbine, characterized in that, The method includes: Step S1: Collect the output current deviation rate, response delay time, output current fluctuation variance, and operating temperature of the main analog output module and the backup analog output module to construct the original state parameter dataset; Step S2: The original state parameter dataset is used to perform health measurement calculation through a four-dimensional parameter weighted fusion algorithm to obtain the main module corrected health index and the backup module corrected health index respectively; Step S3: Perform linear mapping and apply boundary constraints based on the difference between the main module's corrected health index and the backup module's corrected health index to obtain the main module's dynamic current allocation ratio and the backup module's dynamic current allocation ratio. Step S4: Compare the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio with the hysteresis threshold. When the absolute difference is greater than or equal to the hysteresis threshold, perform a progressive update according to the ramp adjustment rate to obtain the actual execution allocation ratio of the main module. Generate the main module current output command and the backup module current output command based on the product of the actual execution allocation ratio of the main module and the total target output current.

2. The gas turbine redundant analog output module half scale current control method of claim 1, wherein, Step S1 includes: The actual output current value is acquired by the current readback circuit, and the target output current value is extracted from the controller to calculate the output current deviation rate. The response delay time is obtained by measuring the time required for the current to reach the target value using a timestamp recording mechanism. The variance of the output current fluctuation is obtained by calculating the variance of the current value sequence within a continuous period. The operating temperature is collected by a temperature sensor, and historical operating data is read from the memory to construct the original state parameter dataset.

3. The gas turbine redundant analog output module half scale current control method of claim 1, wherein, Step S2 includes: The output current deviation rate, the response delay time, the output current fluctuation variance, and the operating temperature are normalized respectively, multiplied by their corresponding weighting coefficients, and summed to obtain the initial health index. Calculate the working time reduction factor based on the cumulative working time, and calculate the failure reduction factor based on the number of historical failures; The initial health index is multiplied by the working time reduction factor and the fault reduction factor to obtain the main module corrected health index and the backup module corrected health index, respectively.

4. The gas turbine redundant analog output module half scale current control method of claim 1, wherein, Step S3 includes: Calculate the difference between the corrected health index of the main module and the corrected health index of the backup module to obtain the health difference value; The initial main module allocation ratio is obtained by multiplying the health difference value by the allocation ratio adjustment coefficient and then adding it to the benchmark value. Apply upper and lower limit constraints to the initial main module allocation ratio to obtain the dynamic current allocation ratio of the main module; The dynamic current distribution ratio of the backup module is calculated based on the complementary relationship.

5. The gas turbine redundant analog output module half scale current control method of claim 4, wherein, The baseline value is 0.5, the allocation ratio adjustment coefficient is 0.25, and the upper limit constraint is 0.70 and the lower limit constraint is 0.

30.

6. The gas turbine redundant analog output module half scale current control method of claim 4, wherein, The complementary relationship is that the dynamic current distribution ratio of the backup module is equal to 1 minus the dynamic current distribution ratio of the main module.

7. The gas turbine redundant analog output module half scale current control method of claim 1 wherein, Step S4 includes: Calculate the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio; When the absolute difference is less than the hysteresis threshold, the historical execution allocation ratio remains unchanged; when the absolute difference is greater than or equal to the hysteresis threshold, the historical execution allocation ratio is updated according to the adjustment direction and the ramp adjustment rate to obtain the actual execution allocation ratio of the main module. The total target output current is multiplied by the actual allocation ratio of the main module and the actual allocation ratio of the backup module, respectively, to generate the current output command of the main module and the current output command of the backup module.

8. A gas turbine redundant analog output module half scale current control system characterized by, For implementing the half-value current control method of the gas turbine redundant analog output module as described in any one of claims 1-7, the half-value current control system of the gas turbine redundant analog output module includes: The module is used to collect the output current deviation rate, response delay time, output current fluctuation variance and operating temperature of the main analog output module and the backup analog output module to build the original state parameter dataset. The quantization module is used to perform health quantification calculation on the original state parameter dataset through a four-dimensional parameter weighted fusion algorithm to obtain the main module corrected health index and the backup module corrected health index, respectively. The mapping module is used to perform linear mapping and apply boundary constraints based on the difference between the corrected health index of the main module and the corrected health index of the backup module to obtain the dynamic current allocation ratio of the main module and the dynamic current allocation ratio of the backup module. The comparison module is used to compare the absolute difference between the dynamic current allocation ratio of the main module and the historical execution allocation ratio with the hysteresis threshold. When the absolute difference is greater than or equal to the hysteresis threshold, it performs a progressive update according to the ramp adjustment rate to obtain the actual execution allocation ratio of the main module. The module generates the main module current output command and the backup module current output command based on the product of the actual execution allocation ratio of the main module and the total target output current.

9. A gas turbine redundant analog output module half scale current control apparatus, characterized by, The method includes a memory and a processor, wherein the memory stores a computer program that can run on the processor, and the processor executes the computer program to implement the half-value current control method for the redundant analog output module of the gas turbine as described in any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, When the computer program is run by the processor, it causes the processor to execute the half-value current control method for the redundant analog output module of the gas turbine as described in any one of claims 1 to 7.

Images