Engine sensing signal fault tolerance method, system, medium and equipment

Abstract

An engine sensing signal fault tolerance method, system, medium and device based on analytical redundancy, in the method, data packets measured by a physical sensor A and a physical sensor B installed at the ith measuring point of an engine are recorded, sensing data packets Xi, A (t) and sensing data packets Xi, B (t) are preprocessed, the preprocessed sensing signals are recorded as sensing signals xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi, xi calculating a residual error ri, AB (t) between the sensing signal xi, A (t) and the sensing signal xi, B (t) of the i-th measuring point according to the sensing signal xi, A (t) and the sensing signal xi, B (t); and if the residual errors ri and AB (t) are smaller than the set threshold values taui and AB (t), a signal # imgabs0 # is fused, otherwise, sensing signals xi and C (t) of a virtual sensor C provided by an engine model serve as analysis redundancy and participate in calculation of a fusion signal, and the fusion signal xi (t) serves as a sensing signal adopted by an engine controller.

Description

Technical Field

[0001] The present invention relates to the technical field of engine fault-tolerant control, and in particular to an engine sensor signal fault-tolerant method, system, medium and equipment based on analytical redundancy. Background Art

[0002] Sensors are an important source of information for engine control systems, and their signal reliability directly affects the safety of engine operation. In order to ensure the reliability of sensor signals, increasing sensor hardware redundancy is a traditional method to improve the fault tolerance of the control system, that is, using multiple sensors at the same measuring point to measure the same physical quantity. Aircraft engine sensor signal measurement generally adopts a dual hardware redundancy architecture. When the measurement signal values ​​of two physical sensors conflict, it is difficult for the control system to select a valid signal. In addition, due to factors such as system weight, installation space, and maintenance costs, it is difficult to further improve fault tolerance by increasing hardware redundancy.

[0003] The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the invention

[0004] The present invention provides an engine sensor signal fault tolerance method, system, medium and equipment based on analytical redundancy. When the residual between physical sensors is greater than a set threshold, the virtual sensor signal provided by the engine model is weightedly fused with the physical sensor signal to ensure the reliability of the sensor signal used by the engine controller.

[0005] The engine sensor signal fault tolerance method based on analytical redundancy includes:

[0006] Step S100: within one control cycle of the engine, data packets measured by the physical sensor A and the physical sensor B installed at the i-th measuring point of the engine are recorded, which are respectively recorded as sensor data packets X and B. i,A (t) and sensor data packet X i,B (t);

[0007] Step S200: respectively sense data packets X i,A (t) and sensor data packet X i,B (t) Preprocessing is performed, and the preprocessed sensor signal is recorded as the sensor signal x i,A (t) and the sensor signal x i,B (t), where the preprocessing is: remove the sensor data packet X i,A (t), and calculate the mean of the remaining data as the sensor signal x i,A (t), remove the sensor data packet X i,B(t), and calculate the mean of the remaining data as the sensor signal x i,B (t);

[0008] Step S300, calculating the sensor signal x of the i-th measuring point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t);

[0009] Step S400, if the residual r i,AB (t) is less than the set threshold τ i,AB (t), then the fusion signal Otherwise, the sensor signal x of the virtual sensor C provided by the engine model i,C (t) as the analytical redundancy and participate in the calculation of the fusion signal, the calculation of the fusion signal includes,

[0010] S401: Record the sensor signal x provided by the virtual sensor C at the i-th measuring point i,C (t),

[0011] S402: Acquire sensor signals x respectively i,A (t), x i,B (t) and x i,C (t) where the sensor signal x i,A (t) and the sensor signal x i,B (t) The distance between i,AB (t) is calculated as , sensor signal x i,B (t) and the sensor signal x i,C (t) The distance between i,BC (t) is calculated as , sensor signal x i,A (t) and the sensor signal x i,C (t) The distance between i,AB (t) is calculated as ,

[0012] S403: Using the maximum value method, the distance between the sensor signals is converted into the support between the signals, and the sensor signal x i,A The support of (t) s i,A The calculation formula of (t) is , sensor signal x i,B The support of (t) s i,B The calculation formula of (t) is , sensor signal x i,C The support of (t) s i,C The calculation formula of (t) is ,

[0013] S404: Calculate the weight corresponding to the sensor signal, the calculation formula is:

[0014] ,

[0015] S405: Calculate the fusion signal x based on the physical sensor A, the physical sensor B and the virtual sensor C i (t) is

[0016] ;

[0017] Step S500: fusion signal x i (t) As the sensor signal adopted by the engine controller.

[0018] In the engine sensor signal fault tolerance method based on analytical margin, in step S300, the sensor signal x of the i-th measuring point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t) is calculated as .

[0019] In the engine sensor signal fault tolerance method based on analytical redundancy, the engine is an aircraft engine.

[0020] In the engine sensor signal fault tolerance method based on resolution margin, the engine includes a gas turbine.

[0021] An engine sensor signal fault tolerance system based on analytical redundancy includes:

[0022] The measuring unit is used to record the data packets measured by the physical sensor A and the physical sensor B installed at the i-th measuring point of the engine in one control cycle of the engine, which are respectively recorded as sensor data packets X and B. i,A (t) and sensor data packet X i,B (t);

[0023] The pre-processing unit is used to: respectively process the sensor data packets X i,A (t) and sensor data packet X i,B (t) Preprocessing is performed, and the preprocessed sensor signal is recorded as the sensor signal x i,A (t) and the sensor signal x i,B (t), where the preprocessing is: remove the sensor data packet X i,A (t), and calculate the mean of the remaining data as the sensor signal x i,A (t), remove the sensor data packet X i,B(t), and calculate the mean of the remaining data as the sensor signal x i,B (t);

[0024] The residual unit is used to calculate the sensor signal x of the i-th measurement point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t);

[0025] The fusion signal processing unit is used to: if the residual r i,AB (t) is less than the set threshold τ i,AB (t), then the fusion signal Otherwise, the sensor signal x of the virtual sensor C provided by the engine model i,C (t) is used as the analytical redundancy and participates in the calculation of the fusion signal. The fusion signal x i (t) As the sensor signal adopted by the engine controller.

[0026] A computer storage medium includes computer instructions, which, when executed on a computer, cause the computer to execute the method described.

[0027] An electronic device, comprising:

[0028] A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein:

[0029] When the processor executes the program, the method described is implemented.

[0030] Compared with the prior art, the present invention has the following advantages: without increasing the hardware redundancy, the present invention adopts the virtual sensor signal provided by the engine model as the analytical redundancy to participate in the fusion calculation of the sensor signal. In the event of a single physical sensor failure, the reliability of the sensor signal used by the engine controller can be ensured, the fault tolerance of the engine control system can be improved, and the safe operation of the engine can be guaranteed. The algorithm is simple and easy to implement. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] By reading the detailed description of the preferred specific embodiments below, various other advantages and benefits of the present invention will become clear to those of ordinary skill in the art. The drawings in the specification are only for the purpose of illustrating the preferred embodiments and are not considered to be limitations of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative work. Moreover, the same reference numerals are used to represent the same components throughout the drawings.

[0032] In the attached picture:

[0033] Figure 1 is an architectural diagram of an engine sensor signal fault tolerance method based on analytical redundancy provided by an embodiment of the present disclosure;

[0034] FIG. 2 (a) and FIG. 2 (b) are schematic diagrams of fault tolerance results of sensing signals when a bias fault occurs in a sensor provided by an embodiment of the present disclosure;

[0035] FIG. 3( a ) and FIG. 3( b ) are schematic diagrams of fault tolerance results of sensing signals when a drift fault occurs in a sensor provided by an embodiment of the present disclosure.

[0036] The present invention is further explained below in conjunction with the accompanying drawings and embodiments. DETAILED DESCRIPTION

[0037] The specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the specific embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0038] It should be noted that certain words are used in the specification and claims to refer to specific components. Those skilled in the art should understand that technicians may use different nouns to refer to the same component. This specification and claims do not use the difference in nouns as a way to distinguish components, but use the difference in the functions of the components as the criterion for distinction. As mentioned throughout the specification and claims, "including" or "comprising" is an open term, so it should be interpreted as "including but not limited to". The subsequent description of the specification is a preferred embodiment of the present invention, but the description is based on the general principles of the specification and is not intended to limit the scope of the present invention. The scope of protection of the present invention shall be determined by the attached claims.

[0039] To facilitate understanding of the embodiments of the present invention, further explanation will be given below by taking specific embodiments as examples in conjunction with the accompanying drawings, and each of the accompanying drawings does not constitute a limitation on the embodiments of the present invention.

[0040] like Figure 1 to Figure 3(b) As shown, the engine sensor signal fault tolerance method based on analytical redundancy includes the following steps:

[0041] Step S100: within one control cycle of the engine, data packets measured by the physical sensor A and the physical sensor B installed at the i-th measuring point of the engine are recorded, which are respectively recorded as sensor data packets X and B. i,A (t) and sensor data packet X i,B(t);

[0042] Step S200: respectively sense data packets X i,A (t) and sensor data packet X i,B (t) Preprocessing is performed, and the preprocessed sensor signal is recorded as the sensor signal x i,A (t) and the sensor signal x i,B (t), where the preprocessing is: remove the sensor data packet X i,A (t), and calculate the mean of the remaining data as the sensor signal x i,A (t), remove the sensor data packet X i,B (t), and calculate the mean of the remaining data as the sensor signal x i,B (t);

[0043] Step S300, calculating the sensor signal x of the i-th measuring point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t);

[0044] Step S400, if the residual r i,AB (t) is less than the set threshold τ i,AB (t), then the fusion signal Otherwise, the sensor signal x of the virtual sensor C provided by the engine model i,C (t) as the analytical redundancy and participate in the calculation of the fusion signal, the calculation of the fusion signal includes,

[0045] S401: Record the sensor signal x provided by the virtual sensor C at the i-th measuring point i,C (t),

[0046] S402: Acquire sensor signals x respectively i,A (t), x i,B (t) and x i,C (t) where the sensor signal x i,A (t) and the sensor signal x i,B (t) The distance between i,AB (t) is calculated as , sensor signal x i,B (t) and the sensor signal x i,C (t) The distance between i,BC (t) is calculated as , sensor signal x i,A (t) and the sensor signal x i,C (t) The distance between i,AB (t) is calculated as ,

[0047] S403: Using the maximum value method, the distance between the sensor signals is converted into the support between the signals, and the sensor signal x i,A The support of (t) s i,A The calculation formula of (t) is , sensor signal x i,B The support of (t) s i,B The calculation formula of (t) is , sensor signal x i,C The support of (t) s i,C The calculation formula of (t) is ,

[0048] S404: Calculate the weight corresponding to the sensor signal, the calculation formula is:

[0049] ,

[0050] S405: Calculate the fusion signal x based on the physical sensor A, the physical sensor B and the virtual sensor C i (t) is

[0051] ;

[0052] Step S500: fusion signal x i (t) As the sensor signal adopted by the engine controller.

[0053] In a preferred embodiment of the engine sensor signal fault tolerance method based on analytical margin, in step S300, the residual ri,AB(t) between the sensor signal xi,A(t) and the sensor signal xi,B(t) of the i-th measuring point is calculated as follows: .

[0054] In the preferred embodiment of the engine sensor signal fault tolerance method based on resolution margin, the sensor signal x of the virtual sensor C is i,C (t) as the analytical redundancy.

[0055] In a preferred implementation of the engine sensor signal fault tolerance method based on resolution margin, the engine is an aircraft engine.

[0056] In a preferred embodiment of the engine sensor signal fault tolerance method based on resolution margin, the engine includes a gas turbine.

[0057] In a preferred implementation of the engine sensor signal fault tolerance method based on analytical redundancy, the engine model is a model constructed using a component-level modeling method.

[0058] In a preferred embodiment of the engine sensor signal fault tolerance method based on resolution margin, the physical sensor A and the physical sensor B both include temperature sensors, and the sensor arrangement measurement points include fan inlet, fan outlet, high-pressure compressor inlet, high-pressure compressor outlet, and low-pressure turbine outlet.

[0059] In a preferred embodiment of the engine sensor signal fault tolerance method based on resolution margin, the physical sensor A and the physical sensor B both include pressure sensors, and the sensor arrangement measurement points include fan inlet, fan outlet, high-pressure compressor inlet, high-pressure compressor outlet, and low-pressure turbine outlet.

[0060] In a preferred embodiment of the engine sensor signal fault tolerance method based on resolution margin, the physical sensor A and the physical sensor B both include rotor speed sensors, and the sensor arrangement measurement points include a low-pressure rotor and a high-pressure rotor.

[0061] In one embodiment, FIG2(a) shows a situation where a bias fault occurs in physical sensor A, and FIG2(b) shows signal fault tolerance effects with and without resolution margin.

[0062] Figure 3 (a) shows the drift fault of physical sensor A, and Figure 3 (b) shows the signal fault tolerance effect with and without analytical margin.

[0063] It can be seen from Figures 2(a), 2(b) and 3(a), 3(b) that the engine sensor signal fault tolerance method based on analytical redundancy proposed in the present invention has a good sensor signal fault tolerance effect for both bias fault and drift fault. The fused signal is closer to the actual value of the engine, which can ensure the reliability of the sensor signal used by the engine controller, improve the fault tolerance capability of the engine control system, and ensure the safe operation of the engine.

[0064] An engine sensor signal fault tolerance system based on analytical redundancy includes:

[0065] The measurement unit records the data packets measured by the physical sensor A and the physical sensor B installed at the i-th measuring point of the engine in one control cycle of the engine, which are respectively recorded as sensor data packets X and B. i,A (t) and sensor data packet X i,B (t);

[0066] The pre-processing unit processes the sensor data packets X i,A (t) and sensor data packet X i,B (t) Preprocessing is performed, and the preprocessed sensor signal is recorded as the sensor signal x i,A (t) and the sensor signal x i,B (t), where the preprocessing is: remove the sensor data packet X i,A(t), and calculate the mean of the remaining data as the sensor signal x i,A (t), remove the sensor data packet X i,B (t), and calculate the mean of the remaining data as the sensor signal x i,B (t);

[0067] Residual unit, calculates the sensor signal x of the i-th measurement point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t);

[0068] Fusion signal processing unit, if the residual r i,AB (t) is less than the set threshold τ i,AB (t), then the fusion signal Otherwise, the sensor signal x of the virtual sensor C provided by the engine model i,C (t) is used as the analytical redundancy and participates in the calculation of the fusion signal. The fusion signal x i (t) As the sensor signal adopted by the engine controller.

[0069] A computer storage medium includes computer instructions, which, when executed on a computer, cause the computer to execute the method described.

[0070] An electronic device, comprising:

[0071] A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein:

[0072] When the processor executes the program, the method described is implemented.

[0073] In this paper, the sensing signal provided by the physical sensor is the physical redundancy, and the sensing signal provided by the engine model is the analytical redundancy.

[0074] Although the embodiments of the present invention are described above in conjunction with the accompanying drawings, the present invention is not limited to the above specific embodiments and application fields, and the above specific embodiments are only illustrative and instructive, rather than restrictive. A person of ordinary skill in the art can also make many forms under the guidance of this specification and without departing from the scope of protection of the claims of the present invention, all of which belong to the protection of the present invention.

Claims

1. An engine sensor signal fault tolerance method based on analytical redundancy, characterized in that: The steps include: Step S100: within one control cycle of the engine, data packets measured by the physical sensor A and the physical sensor B installed at the i-th measuring point of the engine are recorded, which are respectively recorded as sensor data packets X and B. i,A (t) and sensor data packet X i,B (t); Step S200: respectively sense data packets X i,A (t) and sensor data packet X i,B (t) Preprocessing is performed, and the preprocessed sensor signal is recorded as the sensor signal x i,A (t) and the sensor signal x i,B (t), where the preprocessing is: remove the sensor data packet X i,A (t), and calculate the mean of the remaining data as the sensor signal x i,A (t), remove the sensor data packet X i,B (t), and calculate the mean of the remaining data as the sensor signal x i,B (t); Step S300, calculating the sensor signal x of the i-th measuring point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t); Step S400, if the residual r i,AB (t) is less than the set threshold τ i,AB (t), then the fusion signal Otherwise, the sensor signal x of the virtual sensor C provided by the engine model i,C (t) as the analytical redundancy and participate in the calculation of the fusion signal, the calculation of the fusion signal includes, S401: Record the sensor signal x provided by the virtual sensor C corresponding to the i-th measuring point i,C (t), S402: Acquire sensor signals x respectively i,A (t), x i,B (t) and x i,C (t) where the sensor signal x i,A (t) and the sensor signal x i,B (t) The distance between i,AB (t) is calculated as , sensor signal x i,B (t) and the sensor signal x i,C (t) The distance between i,BC (t) is calculated as , sensor signal x i,A (t) and the sensor signal x i,C (t) The distance between i,AB (t) is calculated as , S403: Using the maximum value method, the distance between the sensor signals is converted into the support between the signals, and the sensor signal x i,A The support of (t) s i,A The calculation formula of (t) is , sensor signal x i,B The support of (t) s i,B The calculation formula of (t) is , sensor signal x i,C The support of (t) s i,C The calculation formula of (t) is , S404: Calculate the weight corresponding to the sensor signal, the calculation formula is: ， S405: Calculate the fusion signal x based on the physical sensor A, the physical sensor B and the virtual sensor C i (t) is ； Step S500: fusion signal x i (t) As the sensor signal adopted by the engine controller.

2. The engine sensor signal fault tolerance method based on resolution margin as claimed in claim 1, characterized in that: Preferably, in step S300, the sensor signal x of the i-th measuring point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t) is calculated as .

3. The engine sensor signal fault tolerance method based on resolution margin as claimed in claim 1, characterized in that: The engine is an aircraft engine.

4. The engine sensor signal fault tolerance method based on resolution margin as claimed in claim 1, characterized in that: The engine comprises a gas turbine.

5. An engine sensor signal fault tolerance system based on analytical redundancy, characterized in that: It includes: The measuring unit is used to record the data packets measured by the physical sensor A and the physical sensor B installed at the i-th measuring point of the engine in one control cycle of the engine, which are respectively recorded as sensor data packets X and B. i,A (t) and sensor data packet X i,B (t); The pre-processing unit is used to: respectively process the sensor data packets X i,A (t) and sensor data packet X i,B (t) Preprocessing is performed, and the preprocessed sensor signal is recorded as the sensor signal x i,A (t) and the sensor signal x i,B (t), where the preprocessing is: remove the sensor data packet X i,A (t), and calculate the mean of the remaining data as the sensor signal x i,A (t), remove the sensor data packet X i,B (t), and calculate the mean of the remaining data as the sensor signal x i,B (t); The residual unit is used to calculate the sensor signal x of the i-th measurement point i,A (t) and the sensor signal x i,B The residual r between (t) i,AB (t); The fusion signal processing unit is used to: if the residual r i,AB (t) is less than the set threshold τ i,AB (t), then the fusion signal Otherwise, the sensor signal x of the virtual sensor C provided by the engine model i,C (t) is used as the analytical redundancy and participates in the calculation of the fusion signal. The fusion signal x i (t) As the signal adopted by the engine controller.

6. A computer storage medium, characterized in that: The storage medium includes computer instructions, which, when executed on a computer, enable the computer to execute the method according to any one of claims 1 to 4.

7. An electronic device, characterized in that: The electronic device comprises: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method according to any one of claims 1 to 4 is implemented.

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