High-efficiency gas turbine control system

Abstract

The invention discloses a high-efficiency gas turbine control system, and relates to the technical field of gas turbines, the system is composed of a three-redundancy servo valve module, a fault detection module, a compensation coefficient calculation module and a dynamic adjustment module, the three-redundancy servo valve module is composed of three independent servo valve submodules, the three servo valve sub-modules are respectively a first servo valve sub-module, a second servo valve sub-module and a third servo valve sub-module, each servo valve sub-module receives a control signal from the system and controls the gas flow according to the signal, and in the working process, the three servo valve sub-modules work cooperatively and jointly adjust the operation parameters of the gas turbine, so that the gas turbine is controlled to work stably. By introducing a dynamic compensation coefficient mechanism, the output of other servo modules working normally can be quickly adjusted when a single servo module fails, so that the problem of reverse adjustment caused by a fixed compensation mechanism is avoided, and the fault-tolerant capability of the system is improved.

Description

Technical Field

[0001] The invention relates to the technical field of gas turbines, and in particular to a high-efficiency gas turbine control system. Background Art

[0002] As an efficient and clean energy conversion device, gas turbines play an important role in the fields of electricity, aviation, and shipping. With the growth of energy demand and the improvement of environmental protection awareness, the performance requirements for gas turbines are becoming higher and higher. The control system is the "brain" of the gas turbine, and its performance directly affects the stability, efficiency, and reliability of the gas turbine.

[0003] However, in the gas turbine control system, the traditional servo valve control method lacks an effective response mechanism when facing a single servo module failure. Due to the lack of precise compensation and dynamic adjustment strategies, once a servo valve sub-module fails, the system is prone to reverse regulation. This reverse regulation will cause the control of the gas flow to deviate from the normal range, resulting in large fluctuations in the operating parameters of the gas turbine such as speed, temperature, power, etc., seriously deteriorating the regulation quality.

[0004] In summary, the defects of the existing gas turbine control system in servo valve control seriously restrict the performance improvement and reliable operation of the gas turbine. Therefore, it is particularly urgent to develop a new gas turbine control system that can effectively solve the reverse adjustment problem when a single servo module fails. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the prior art and provide a high-efficiency gas turbine control system. The system introduces a dynamic compensation coefficient calculation module through a triple-redundant servo valve control method, thereby realizing intelligent adjustment and compensation in the event of a single servo module failure. At the same time, the real-time calculation and adaptive adjustment of the dynamic compensation coefficient enable the system to flexibly adjust the control strategy according to different operating conditions and fault conditions, thereby ensuring the efficient and stable operation of the gas turbine in various complex environments.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a high-efficiency gas turbine control system, which is composed of a triple-redundant servo valve module, a fault detection module, a compensation coefficient calculation module and a dynamic adjustment module;

[0007] The triple-redundant servo valve module is composed of three independent servo valve submodules, namely the first servo valve submodule, the second servo valve submodule and the third servo valve submodule. Each servo valve submodule receives a control signal from the system and controls the gas flow rate according to the signal. During operation, the three servo valve submodules work together to adjust the operating parameters of the gas turbine.

[0008] The fault detection module is electrically connected to the first servo valve submodule, the second servo valve submodule and the third servo valve submodule respectively, and determines whether a submodule fails by monitoring the electrical characteristics, valve core movement data and pressure feedback information of each servo valve submodule, wherein the electrical characteristics include current and voltage fluctuations, and the valve core movement data includes valve core displacement, speed and acceleration information, and is connected to the three-redundancy servo valve module to monitor the working status of each servo valve submodule in real time;

[0009] When a fault is detected in one of the servo valve submodules, a fault signal is immediately sent to the system, and the fault type and fault location are determined;

[0010] The compensation coefficient calculation module communicates with the fault detection module and the three-redundancy servo valve module in real time, receives the operating parameter information of the gas turbine, calculates the compensation coefficient using the fault-tolerant control algorithm to generate a control instruction and sends it to the three-redundancy servo valve module, and starts the optimized fault-tolerant control strategy when receiving the single-channel servo module fault signal sent by the fault detection module. The fault-tolerant control strategy is:

[0011] The ideal target operating parameters of the gas turbine are defined as P t , the current actual operating parameters are P a , the normal flow rate regulation coefficient of the first servo valve submodule is k1, the normal flow rate regulation coefficient of the second servo valve submodule is k2, and the normal flow rate regulation coefficient of the third servo valve submodule is k3;

[0012] When the first servo valve submodule fails, the compensation coefficient C1 is:

[0013]

[0014] Wherein, ω1 is the weight coefficient of the first servo valve submodule;

[0015] When the second servo valve submodule fails, the compensation coefficient C2 is:

[0016]

[0017] Wherein, ω2 is the weight coefficient of the second servo valve submodule;

[0018] When the third servo valve submodule fails, the compensation coefficient C3:

[0019]

[0020] Wherein, ω3 is the weight coefficient of the third servo valve submodule;

[0021] The dynamic adjustment module applies the calculated compensation coefficients C1, C2 and C3 to the control signals of the other servo valve submodules that are operating normally, and dynamically adjusts their flow regulation coefficients.

[0022] Furthermore, each servo valve submodule in the triple-redundant servo valve module has the same structure, and includes an electromagnetic drive unit, a valve core and valve body unit, and a feedback adjustment unit, wherein:

[0023] After receiving the control signal sent by the system, the electromagnetic drive unit generates an electromagnetic force of corresponding magnitude according to the strength of the signal. The electromagnetic force acts on the valve core of the valve core valve body unit to drive the valve core to control the flow adjustment amplitude of the gas. The electromagnetic drive unit has an electromagnetic feedback function for the movement state of the valve core. The movement information of the valve core is converted into an electrical signal through electromagnetic induction. The electrical signal reflects the displacement and speed information of the valve core, which is used for the system's fault detection module to monitor and adjust the movement state of the valve core;

[0024] The valve core and valve body unit controls the gas flow rate, and when the gas flows through the valve body, the pressure sensor inside the valve body will monitor the gas pressure changes in real time and generate pressure feedback information. The pressure feedback information is monitored in real time by the fault detection module, providing the system with gas pressure status data and adjusting the valve core position in time according to the pressure changes.

[0025] Furthermore, the feedback regulation unit in the three-redundant servo valve module is responsible for integrating the position adjustment information of the valve core and the pressure information, and converting them into the system's feedback signal, so that the system compares and analyzes the feedback signal with the ideal target operating parameters, and then issues correction instructions to the electromagnetic drive unit, so that the servo valve sub-module always maintains regulation of the gas flow.

[0026] Furthermore, the compensation coefficient calculation module independently controls the start-up and shutdown processes of the gas turbine when generating control instructions, that is:

[0027] During the startup process, a step-by-step flow control strategy is adopted to gradually increase the gas flow output of the triple-redundant servo valve module according to the startup curve of the gas turbine;

[0028] During the shutdown process, the gas flow is slowly reduced and the servo valve module is closed. At the same time, the gas turbine is cooled and protected during the shutdown process.

[0029] Furthermore, the dynamic adjustment module uses the compensation coefficients C1, C2 and C3 to dynamically adjust the flow regulation coefficient of the normally working servo valve sub-module, that is, when a fault occurs in the first servo valve sub-module, the flow regulation coefficient of the second servo valve sub-module is adjusted to: k′2=k2×(1+C1), and the flow regulation coefficient of the third servo valve sub-module is: k′3=k3×(1+C1).

[0030] Furthermore, when the dynamic adjustment module receives a signal that the second servo valve submodule has failed, the flow adjustment coefficient of the first servo valve submodule is adjusted to k′1=k1×(1+C2), and the flow adjustment coefficient of the third servo valve submodule is adjusted to k′3=k3×(1+C2).

[0031] Furthermore, when the dynamic adjustment module receives a signal that the third servo valve submodule has failed, the flow adjustment coefficient of the first servo valve submodule is adjusted to k′1=k1×(1+C3), and the flow adjustment coefficient of the second servo valve submodule is adjusted to k′2=k2×(1+C3).

[0032] Furthermore, the control system also includes a data storage unit for storing historical operating data, fault record data and control parameter adjustment records under different operating conditions of the gas turbine.

[0033] Compared with the prior art, this high-efficiency gas turbine control system has the following beneficial effects:

[0034] 1. The present invention introduces a dynamic compensation coefficient mechanism, which can quickly adjust the output of other normally working servo modules when a single servo module fails, thereby avoiding the reverse adjustment problem caused by the fixed compensation mechanism and improving the fault tolerance of the system. At the same time, the real-time calculation and adaptive adjustment of the dynamic compensation coefficient enable the system to flexibly adjust the control strategy according to different working conditions and fault conditions, thereby ensuring the efficient and stable operation of the gas turbine in various complex environments.

[0035] 2. The present invention effectively improves the overall performance and energy utilization of the gas turbine. With the help of the servo valve control algorithm, the gas flow rate can be finely adjusted according to the operating status and fault conditions of the gas turbine. During the startup and shutdown stages of the gas turbine, the system dynamically adjusts the compensation coefficient to accurately match the gas supply with actual demand, which not only improves the response speed and adjustment accuracy of the gas turbine.

[0036] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 is a flow chart of a high-efficiency gas turbine control system;

[0039] Figure 2 The structure diagram of a triple-redundant servo valve module in a high-efficiency gas turbine control system;

[0040] Figure 3 This is the structural composition diagram of the triple-redundant servo valve module. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1

[0043] This embodiment focuses on demonstrating how the various components of the high-efficiency gas turbine control system work together to achieve rapid response and ensure stable operation of the gas turbine when a sudden failure occurs in the first servo valve submodule. By elaborating on the entire process of fault detection, compensation coefficient calculation and dynamic adjustment, the system's fault tolerance and adaptability to complex working conditions are demonstrated, providing key support for the reliable operation of the gas turbine.

[0044] In the specific implementation, first, during the normal operation of the gas turbine, the entire control system is in a stable working state. The first servo valve submodule, the second servo valve submodule and the third servo valve submodule in the three-redundant servo valve module work together to receive the control signal from the control system and accurately control the gas flow. The control system continuously obtains operating parameters from the gas turbine, and the fault detection module continuously monitors the servo valve submodule in real time to ensure the stable operation of the system.

[0045] Then, when the fault detection module detects that the valve core inside the first servo valve submodule is stuck due to the entry of impurities and a sudden fault occurs, the high-precision current sensor and voltage sensor in the fault detection module quickly capture the change in the electrical characteristics of the first servo valve submodule, and compare it with the control signal issued under the normal operation of the control system. At the same time, during normal operation, the valve core performs a smooth displacement movement according to the control signal. After the fault occurs, the displacement of the valve core stagnates, the speed sensor measures a sharp drop in speed to zero, and the acceleration sensor detects abnormal acceleration changes, capturing the abnormal changes in the movement state of the valve core. As the gas flow in the first servo valve submodule is blocked, the valve core moves smoothly according to the control signal. The pressure sensor inside the valve body monitors the changes in the gas pressure feedback information. Under normal circumstances, the gas pressure should maintain a relatively stable change trend according to the adjustment of the gas flow rate, but at this time the pressure will increase or fluctuate abnormally. The pressure sensor transmits these abnormal pressure information to the fault detection module in real time. The fault detection module combines the above-mentioned electrical characteristics, valve core movement data and abnormal pressure feedback information, and according to the preset fault judgment logic, it determines that the first servo valve submodule has a fault. After determining the fault location, the fault detection module immediately sends a fault signal to the control system, and at the same time transmits the fault type and location information to the control system and optimizes the control strategy.

[0046] After receiving the fault signal, the compensation coefficient calculation module obtains the current operating parameter information of the gas turbine from the control system, including the current actual operating parameter P a This parameter covers the current speed, temperature, and power operating status indicators of the gas turbine. At the same time, the compensation coefficient calculation module also obtains the preset ideal target operating parameter P t , and the known normal flow adjustment coefficient k2 of the second servo valve submodule and the normal flow adjustment coefficient k3 of the third servo valve submodule, according to the fault-tolerant control algorithm, the obtained parameters are substituted into the compensation coefficient calculation formula Calculation is performed, where ω1 is a weight coefficient, which is determined as follows: by analyzing the operating data of a large number of gas turbines under different working conditions, a multivariate linear regression method is adopted, and the load change rate, ambient temperature change range and operating time of the gas turbine are used as independent variables to evaluate the regulation effect under different fault conditions. The coefficient combination that makes the regulation effect optimal is used as the value range of ω1, and then according to the specific working condition information at the time of the current fault, the optimal value is selected from the value range as ω1 to obtain the precise value of the compensation coefficient C1 and the characteristics of other normal servo valve sub-modules. After the dynamic adjustment module receives the compensation coefficient C1 calculated by the compensation coefficient calculation module, it immediately adjusts the flow regulation coefficients of the second servo valve sub-module and the third servo valve sub-module. Before the adjustment, the dynamic adjustment module first adjusts the flow regulation coefficients of the current second servo valve sub-module The working status of the first servo valve submodule and the second servo valve submodule is quickly evaluated to confirm that they are in an adjustable state, and their current flow regulation coefficients k2 and k3 are obtained; for the second servo valve submodule, according to the dynamic adjustment strategy, its flow regulation coefficient is adjusted to k′2=k2×(1+C1), and the adjusted k′2 value reflects the flow regulation amplitude that the second servo valve submodule needs to increase in the event of a failure of the first servo valve submodule to compensate for the gas flow loss caused by the failure of the first servo valve submodule; similarly, for the third servo valve submodule, its flow regulation coefficient is adjusted to k′3=k3×(1+C1), and accuracy is ensured during the calculation process. The adjusted k′3 value enables the third servo valve submodule to adjust the gas flow according to the new coefficient, and work in coordination with the second servo valve submodule to maintain the gas supply balance of the gas turbine.

[0047] The adjusted second servo valve submodule and the third servo valve submodule readjust the gas flow rate according to the new flow regulation coefficient. The second servo valve submodule adjusts the valve core position according to the k′2 value to accurately control the cross-sectional area through which the gas passes, thereby adjusting the gas flow rate. The third servo valve submodule adjusts the gas flow rate according to the k′3 value in a similar manner. During the adjustment process, the control system continuously obtains operating parameter feedback from the gas turbine and closely monitors the speed, temperature, and power operating status of the gas turbine. By comparing the actual operating parameters with the ideal target operating parameters in real time, the control system determines whether the gas turbine has restored a stable operating state. If it is found that the operating parameters still have deviations, the control system will further analyze the reasons and fine-tune the compensation coefficient according to the situation to ensure that the gas turbine can still operate stably in the event of a failure in the first servo valve submodule, thereby avoiding reverse regulation and large fluctuations in operating parameters caused by the failure.

[0048] In summary, this embodiment presents in detail and comprehensively a series of response mechanisms of the high-efficiency gas turbine control system when the first servo valve submodule fails, from the detection of the fault at the moment of occurrence, to the accurate calculation of the compensation coefficient, and then to the dynamic adjustment of the flow regulation coefficient of the remaining servo valve submodules. The whole process reflects the characteristics of close cooperation and efficient operation between the modules of the system. Through this process, the system successfully overcomes the challenges brought by the failure of a single servo valve submodule, effectively maintains the stable operation of the gas turbine, and fully demonstrates the significant advantages of the present invention in improving the fault tolerance, stability and reliability of the gas turbine control system.

[0049] Embodiment 2

[0050] This embodiment focuses on the scenario where the second servo valve submodule fails, and elaborates on how the high-efficiency gas turbine control system ensures that the gas turbine can maintain stable operation under this fault condition through accurate fault detection, scientific compensation coefficient calculation and effective dynamic adjustment, thereby further demonstrating the system's powerful fault tolerance performance and reliable control mechanism.

[0051] First, when the gas turbine is initially running, the system is in a normal working state. The three servo valve submodules of the three-redundant servo valve module coordinately adjust the gas flow according to the instructions of the control system, so that the various operating parameters of the gas turbine are stable within the set range. At this time, the fault detection module continues to closely monitor the servo valve submodules. During the operation, the fault detection module detects that the second servo valve submodule has a fault, so that the electromagnetic drive unit cannot normally generate enough electromagnetic force to drive the valve core movement, which seriously affects the regulation of the gas flow. The fault detection module captures the abnormal changes in the electrical characteristics of the second servo valve submodule and compares them with the voltage changes of the electromagnet coil under normal circumstances, and feeds back the voltage abnormality information to the fault detection module. The fault detection module preliminarily determines that the second servo valve submodule has an electrical fault based on the abnormal data of the electrical characteristics.

[0052] After determining that the second servo valve submodule is faulty, the fault detection module immediately sends a fault signal to the control system, and at the same time accurately transmits the detailed fault type (fault in the electromagnetic drive part) and fault location information to the control system. After receiving the fault signal, the compensation coefficient calculation module of the system obtains the current operating parameter information of the gas turbine, including the current actual operating parameter P a And the preset ideal target operating parameters P t At the same time, obtain the normal flow adjustment coefficient k1 of the first servo valve submodule and the normal flow adjustment coefficient k3 of the third servo valve submodule, as well as the weight coefficient ω2 corresponding to the second servo valve submodule. According to the fault-tolerant control algorithm, substitute the parameters into the compensation coefficient calculation formula A calculation is performed to obtain the value of the compensation coefficient C2, which comprehensively considers the difference between the current operating state of the gas turbine and the ideal state and the characteristics of other normal servo valve submodules. After the dynamic adjustment module receives the compensation coefficient C2, the flow regulation coefficients of the first servo valve submodule and the third servo valve submodule are adjusted. Before the adjustment, the current working states of the first servo valve submodule and the third servo valve submodule are quickly evaluated to obtain their current flow regulation coefficients k1 and k3; for the first servo valve submodule, its flow regulation coefficient is adjusted to k′1=k1×(1+C2) to ensure that the adjusted k′1 value is accurately reflected in the second servo valve submodule. In the event of a valve submodule failure, the first servo valve submodule should increase the flow regulation amplitude to compensate for the change in gas flow caused by the failure; for the third servo valve submodule, adjust its flow regulation coefficient to k′3=k3×(1+C2) so that it can work in conjunction with the first servo valve submodule to maintain the balance of gas supply to the gas turbine; the adjusted first servo valve submodule and the third servo valve submodule quickly adjust the gas flow according to the new flow regulation coefficient, the first servo valve submodule accurately controls the valve core position according to the k′1 value, changes the gas flow cross-sectional area, and realizes gas flow adjustment, while the third servo valve submodule performs the same operation according to the k′3 value.

[0053] During the adjustment process, the control system continuously obtains operating parameter feedback from the gas turbine sensors, monitors the speed, temperature, and power operating status of the gas turbine in real time, and determines whether the gas turbine has resumed stable operation by comparing the actual operating parameters with the ideal target operating parameters.

[0054] This embodiment comprehensively demonstrates the complete response process of the high-efficiency gas turbine control system when the second servo valve sub-module fails. From the detection and identification of the fault, to the calculation of the compensation coefficient, and then to the implementation of dynamic adjustment, each link works closely together to effectively overcome the adverse effects of the fault.

[0055] Embodiment 3

[0056] This embodiment describes in detail how the high-efficiency gas turbine control system functions to maintain stable operation of the gas turbine when the third servo valve submodule fails.

[0057] First, after the gas turbine is started, the control system operates normally. The three servo valve submodules of the triple redundant servo valve module work together to accurately control the gas flow to ensure that the gas turbine operates stably under the predetermined working conditions. The fault detection module continuously monitors the status of each servo valve submodule to ensure the safety and reliability of the system. During operation, when the fault detection module detects that the third servo valve submodule has a fault, it causes gas leakage, which in turn affects the normal regulation of the gas flow. The current sensor and voltage sensor in the fault detection module immediately monitor the electrical characteristics of the third servo valve submodule, and preliminarily judge that there is a problem with the third servo valve submodule based on the abnormal electrical characteristics. At the same time, the valve core movement data is monitored. When abnormal fluctuations in the valve core displacement and instability in the valve core speed are detected, the fault detection module further analyzes the fault situation in combination with the abnormal electrical characteristics. The pressure sensor inside the valve body monitors the gas pressure feedback information and transmits the abnormal pressure data to the fault detection module in real time. The fault detection module combines the electrical characteristics, valve core movement data and pressure feedback information to finally determine that the third servo valve submodule has a fault. The fault detection module sends a fault signal and detailed fault information to the control system.

[0058] After receiving the fault signal, the compensation coefficient calculation module in the system obtains the current operating parameter information of the gas turbine from the control system, including the current actual operating parameter P a and the preset ideal target operating parameters P t At the same time, obtain the normal flow adjustment coefficient k1 of the first servo valve submodule and the normal flow adjustment coefficient k2 of the second servo valve submodule, and substitute the parameters into the compensation coefficient calculation formula according to the fault-tolerant control algorithm The value of the compensation coefficient C3 is obtained, which comprehensively considers the difference between the current operating state of the gas turbine and the ideal state and the characteristics of other normal servo valve submodules, providing a reasonable basis for subsequent dynamic adjustment. After receiving the compensation coefficient C3, the dynamic adjustment module is ready to adjust the flow adjustment coefficients of the first servo valve submodule and the second servo valve submodule. Before the adjustment, the current working states of the first servo valve submodule and the second servo valve submodule are quickly evaluated to confirm that they can be adjusted, and their current flow adjustment coefficients k1 and k2 are obtained. For the first servo valve submodule, its flow adjustment coefficient is adjusted to k′1=k1×(1+C3), ensuring that the adjusted k′1 value can accurately reflect the flow adjustment amplitude that the first servo valve submodule should increase in the case of a failure of the third servo valve submodule to compensate for the change in gas flow caused by the failure; for the second servo valve submodule, its flow adjustment coefficient is adjusted to k′2=k2×(1+C3), so that it can accurately adjust the gas flow according to the coefficient, and cooperate with the first servo valve submodule to maintain the balance of gas supply to the gas turbine.

[0059] After adjustment, the first servo valve submodule and the second servo valve submodule quickly adjust the gas flow rate according to the new flow adjustment coefficient. The first servo valve submodule accurately controls the valve core position according to the k′1 value, adjusts the gas flow cross-sectional area, and realizes gas flow adjustment; the second servo valve submodule performs the same operation according to the k′2 value. During the adjustment process, the control system continuously obtains operating parameter feedback from the gas turbine, monitors the speed, temperature, and power operating status of the gas turbine in real time, and determines whether the gas turbine has resumed stable operation by comparing the actual operating parameters with the ideal target operating parameters. If it is found that the operating parameters still have deviations, the control system will further analyze the reasons and adjust the compensation coefficient again to ensure that the gas turbine still operates stably when the third servo valve submodule fails, avoid reverse adjustment and large fluctuations in operating parameters caused by the failure, and ensure continuous, efficient and safe operation of the gas turbine.

[0060] In summary, this embodiment fully presents the entire response process of the high-efficiency gas turbine control system when the third servo valve sub-module fails, from fault detection to compensation coefficient calculation, and then to dynamic adjustment. Each link is closely connected, fully demonstrating the system's strong fault tolerance and stability.

[0061] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A high-efficiency gas turbine control system, characterized in that: The system consists of a triple-redundant servo valve module, a fault detection module, a compensation coefficient calculation module and a dynamic adjustment module; The triple-redundant servo valve module is composed of three independent servo valve submodules, namely the first servo valve submodule, the second servo valve submodule and the third servo valve submodule. Each servo valve submodule receives a control signal from the system and controls the gas flow rate according to the signal. During operation, the three servo valve submodules work together to adjust the operating parameters of the gas turbine. The fault detection module is electrically connected to the first servo valve submodule, the second servo valve submodule and the third servo valve submodule respectively, and determines whether a submodule fails by monitoring the electrical characteristics, valve core movement data and pressure feedback information of each servo valve submodule, wherein the electrical characteristics include current and voltage fluctuations, and the valve core movement data includes valve core displacement, speed and acceleration information, and is connected to the three-redundancy servo valve module to monitor the working status of each servo valve submodule in real time; When a fault is detected in one of the servo valve submodules, a fault signal is immediately sent to the system, and the fault type and fault location are determined; The compensation coefficient calculation module communicates with the fault detection module and the three-redundancy servo valve module in real time, receives the operating parameter information of the gas turbine, calculates the compensation coefficient using the fault-tolerant control algorithm to generate a control instruction and sends it to the three-redundancy servo valve module, and starts the optimized fault-tolerant control strategy when receiving the single-channel servo module fault signal sent by the fault detection module. The fault-tolerant control strategy is: The ideal target operating parameters of the gas turbine are defined as P t , the current actual operating parameters are P a , the normal flow rate regulation coefficient of the first servo valve submodule is k1, the normal flow rate regulation coefficient of the second servo valve submodule is k2, and the normal flow rate regulation coefficient of the third servo valve submodule is k3; When the first servo valve submodule fails, the compensation coefficient C1 is: Wherein, ω1 is the weight coefficient of the first servo valve submodule; When the second servo valve submodule fails, the compensation coefficient C2 is: Wherein, ω2 is the weight coefficient of the second servo valve submodule; When the third servo valve submodule fails, the compensation coefficient C3: Wherein, ω3 is the weight coefficient of the third servo valve submodule; The dynamic adjustment module applies the calculated compensation coefficients C1, C2 and C3 to the control signals of the other servo valve submodules that are operating normally, and dynamically adjusts their flow regulation coefficients.

2. A high-efficiency gas turbine control system according to claim 1, characterized in that: Each servo valve submodule in the triple-redundant servo valve module has the same structure, and includes an electromagnetic drive unit, a valve core and valve body unit, and a feedback adjustment unit, wherein: After receiving the control signal sent by the system, the electromagnetic drive unit generates an electromagnetic force of corresponding magnitude according to the strength of the signal. The electromagnetic force acts on the valve core of the valve core valve body unit to drive the valve core to control the flow adjustment amplitude of the gas. The electromagnetic drive unit has an electromagnetic feedback function for the movement state of the valve core. The movement information of the valve core is converted into an electrical signal through electromagnetic induction. The electrical signal reflects the displacement and speed information of the valve core, which is used for the system's fault detection module to monitor and adjust the movement state of the valve core; The valve core and valve body unit controls the gas flow rate, and when the gas flows through the valve body, the pressure sensor inside the valve body will monitor the gas pressure changes in real time and generate pressure feedback information. The pressure feedback information is monitored in real time by the fault detection module, providing the system with gas pressure status data and adjusting the valve core position in time according to the pressure changes.

3. A high-efficiency gas turbine control system according to claim 2, characterized in that: The feedback regulation unit in the triple-redundant servo valve module is responsible for integrating the position adjustment information of the valve core and the pressure information, and converting them into the system's feedback signal, so that the system can compare and analyze the feedback signal with the ideal target operating parameters, and then issue correction instructions to the electromagnetic drive unit, so that the servo valve sub-module can always maintain the regulation of the gas flow.

4. A high-efficiency gas turbine control system according to claim 1, characterized in that: The compensation coefficient calculation module independently controls the start-up and shutdown processes of the gas turbine when generating control instructions, namely: During the startup process, a step-by-step flow control strategy is adopted to gradually increase the gas flow output of the triple-redundant servo valve module according to the startup curve of the gas turbine; During the shutdown process, the gas flow is slowly reduced and the servo valve module is closed. At the same time, the gas turbine is cooled and protected during the shutdown process.

5. A high-efficiency gas turbine control system according to claim 1, characterized in that: The dynamic adjustment module uses the compensation coefficients C1, C2 and C3 to dynamically adjust the flow regulation coefficient of the normally operating servo valve sub-module, that is, when a fault occurs in the first servo valve sub-module, the flow regulation coefficient of the second servo valve sub-module is adjusted to: k′2=k2×(1+C1), and the flow regulation coefficient of the third servo valve sub-module is adjusted to: k′3=k3×(1+C1).

6. A high-efficiency gas turbine control system according to claim 1, characterized in that: When the dynamic adjustment module receives the information that the second servo valve submodule fails, it adjusts the flow adjustment coefficient of the first servo valve submodule to k′1=k1×(1+C2) and the flow adjustment coefficient of the third servo valve submodule to k′3=k3×(1+C2).

7. A high efficiency gas turbine control system according to claim 1, characterized in that: When the dynamic adjustment module receives the information that the third servo valve submodule fails, it adjusts the flow adjustment coefficient of the first servo valve submodule to k′1=k1×(1+C3) and the flow adjustment coefficient of the second servo valve submodule to k′2=k2×(1+C3).

8. A high efficiency gas turbine control system according to claim 1, characterized in that: The control system also includes a data storage unit for storing historical operating data, fault record data, and control parameter adjustment records under different operating conditions of the gas turbine.

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