Implementation of a fault tolerant system for the internal combustion engine’s MAF sensor

León, P. Gutiérrez; García-Morales, J.; Escobar-Jiménez, R.F.; Gómez-Aguilar, J. F.; López, G.; Torres, Lizeth

doi:10.1016/j.measurement.2018.03.006

Cited by 27 publications

(15 citation statements)

References 17 publications

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“…Recently, several industrial applications of observers and Kalman filters for fractional‐order systems have been reported . The theory of observer‐based control for fractional‐order systems has already emerged .…”

Section: Discussionmentioning

confidence: 99%

“…Recently, several industrial applications of observers and Kalman filters for fractional-order systems have been reported. [27][28][29][30][31] The theory of observer-based control for fractional-order systems has already emerged. 32 It is an interesting future problem to discuss the reduced-order LQG/LTR procedure for fractional-order systems.…”

Section: Discussionmentioning

confidence: 99%

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Reduced‐order LQG/LTR procedure for the plant output side

Ishihara

Zheng

2019

Optim Control Appl Methods

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Summary It is commonly believed that reduced‐order observers, including reduced‐order Kalman filters, cannot be used in the loop transfer recovery (LTR) design of the plant output side. In contrast to common understanding, we show that, at least for nonminimum‐phase plants, the reduced‐order Kalman filter can be used in the linear‐quadratic‐Gaussian (LQG)/LTR design of the plant output side with clear meaning in systems theory. The key concept is to regard a reduced‐order Kalman filter as a high‐gain full‐order Kalman filter. For the reduced‐order LQG controller, we examine the asymptotic property achieved by applying the recovery procedure used in the full‐order LQG/LTR design. Using the equivalent full‐order Kalman filter, we find that the sensitivity property of the reduced‐order LQG controller is asymptotically equivalent to that of a high‐gain partial output injection system. Motivated by this result, we propose the reduced‐order LQG/LTR procedure taking the high‐gain partial output injection system as a target. Some target properties are discussed to clarify the difference from the full‐order design. A multivariable design example is presented to show that the procedure provides a systematic design of a reduced‐order controller with optimality consideration.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Reduced‐order LQG/LTR procedure for the plant output side

Ishihara

Zheng

2019

Optim Control Appl Methods

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“…As shown in (14), the commanded inputs ∆u a c (t) and ∆u m c (t) are included in ∆ ω f (t). According to (22), ∆ ω f (t) is a part of ∆ ω f e (t).…”

Section: Remarkmentioning

confidence: 99%

“…Owing to increasing the cost, weight, and physical size, hardware redundancy is often not an option for turbofan engines. In analytical redundancy, filters [12], adaptive observers [14], linear regression-based VOLUME 4, 2016 observers [15] are designed to estimate the operation of components, which are mainly used in the case of sensor faults. To estimate actuator faults, many other fault diagnosis approaches have been proposed for turbofan engines, such as Kalman filter [16]- [21], observer [22], [23], and other related methods [24]- [29].…”

Section: Introductionmentioning

confidence: 99%

CNN-Based Intelligent Fault-Tolerant Control Design for Turbofan Engines With Actuator Faults

Cheng

Liu

2021

IEEE Access

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In this paper, the problem of fault-tolerant control is investigated for turbofan engines with actuator faults. The controller involvement has repressed the effects of actuator faults on the controlled outputs of turbofan engines, making fault-tolerant control difficult. To solve this problem, the internal gaspath data of turbofan engines is introduced to provide conducive fault information. Besides, the useful property of the convolution neural network (CNN) is explored and utilized in fault-tolerant control. Based on the analysis of actuator faults, by using the Lyapunov stability and L 2-gain like theorems, a novel CNN-based intelligent fault-tolerant control system for turbofan engines is proposed, including a CNNbased fault diagnosis module and a nonlinear fault-tolerant controller with corresponding reconfiguration unit. The CNN-based intelligent fault-tolerant control system has the advantages of reducing the accuracy requirements of the mathematical description of turbofan engines. Furthermore, the proposed system can diagnose actuator faults and reduce the adverse effects of actuator faults on turbofan engines. Finally, simulation results are presented to demonstrate the efficiency of the designed method. INDEX TERMS CNN-based intelligent fault-tolerant control, actuator faults, gas-path data, fault diagnosis, nonlinear fault-tolerant controller, turbofan engines.

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“…Li et al 51 use a PI like fuzzy logic-based control law for AFR control that is highly robust and capable of self-tuning. In the work by Gutiérrez León et al, 52 an adaptive observer model using mass air flow (MAF) is implemented to provide analytical redundancy for this sensor fault. In García-Morales et al’s 53 study E-10 hydrogen fuel is used for AFR control implementation in the SI IC engines.…”

Section: Introductionmentioning

confidence: 99%

Hybrid fault tolerant control for air–fuel ratio control of internal combustion gasoline engine using Kalman filters with advanced redundancy

Amin

Mahmood-ul-Hasan

2019

Measurement and Control

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In this paper, a hybrid fault tolerant control system is proposed for air–fuel ratio control of internal combustion gasoline engines based on Kalman filters and triple modular redundancy. Hybrid fault tolerant control system possesses properties of both active fault tolerant control system and passive fault tolerant control system. As part of active fault tolerant control system, fault detection and isolation unit is designed using Kalman filters to provide estimated values of the sensors to the engine controller in case of faults in the sensors. As part of passive fault tolerant control system, a dedicated proportional–integral feedback controller is incorporated to maintain air–fuel ratio by adjusting the throttle actuator in the fuel supply line in faulty and noisy conditions for robustness to faults and sensors’ noise. Redundancy is proposed in the sensors and actuators as a simultaneous failure of more than one sensor, and failure of the single actuator will cause the engine shutdown. Advanced redundancy protocol triple modular redundancy is proposed for the sensors and dual redundancy is proposed for actuators. Simulation results in the MATLAB Simulink environment show that the proposed system remains stable during faults in the sensors and actuators. It also maintains air–fuel ratio without any degradation in the faulty conditions and is robust to noise. Finally, the probabilistic reliability analysis of the proposed model is carried out. The study shows that the proposed hybrid fault tolerant control system with redundant components presents a novel and highly reliable solution for the air–fuel ratio control in internal combustion engines to prevent engine shutdown and production loss for greater profits.

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Implementation of a fault tolerant system for the internal combustion engine’s MAF sensor

Cited by 27 publications

References 17 publications

Reduced‐order LQG/LTR procedure for the plant output side

Reduced‐order LQG/LTR procedure for the plant output side

CNN-Based Intelligent Fault-Tolerant Control Design for Turbofan Engines With Actuator Faults

Hybrid fault tolerant control for air–fuel ratio control of internal combustion gasoline engine using Kalman filters with advanced redundancy

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