Fault Diagnosis of Uncertain Hybrid Actuators Based Model Predictive Control

Zahaf, Abdelmalek; Bounemeur, Abdelhamid; Bououden, Sofiane; Boulkaibet, Ilyes

doi:10.1007/978-981-15-6403-1_66

Cited by 16 publications

(4 citation statements)

References 13 publications

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“…To cope with undesirable situations, and to improve the reliability of the controller for linear systems subject to mixed delays and stochastic delays, delay-kernel-dependent and distributeddelay-dependent approaches were proposed in [24,25]. Meanwhile, diagnosis tasks may become very useful in this case, e.g., the reliable proposed diagnosis approach in [26], based on predictive control. To this end, time-delay-based predictive control was designed in [27] as a second-step control scheme, in order to maintain the very high performance of the DC-DC converters and ensure acceptable compensation for the time delays.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Zahaf

Bououden

Chadli

et al. 2023

Sensors

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This paper provides a detailed analysis of the output voltage/current tracking control of a PWM DCDC converter that has been modeled as a Markov jump system. In order to achieve that, a dynamic sensorless strategy is proposed to perform active disturbance rejection control. As a convex optimization problem, a novel reformulation of the problem is provided to compute optimal control. Accordingly, necessary less conservative conditions are established via Linear Matrix Inequalities. First, a sensorless active disturbance rejection design is proposed. Then, to carry out the control process, a robust dynamic observer–predictive controller approach is introduced. Meanwhile, the PWM DC-DC switching power converters are examined as discrete-time Markovian switching systems. Considering that the system is subject to modeling uncertainties, time delays, and load variations as external disturbances, and by taking partial input saturation into account, the Lyapunov–Krasovskii function is used to construct the required feasibility frame and less conservative stability conditions. As a result, the proposed design provides an efficient control strategy with disturbance rejection and time-delay compensation capabilities and maintains robust performance with respect to constraints. Finally, a PWM DC-DC power converter simulation study is performed in different scenarios, and the obtained results are illustrated in detail to demonstrate the effectiveness of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Zahaf

Bououden

Chadli

et al. 2023

Sensors

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show abstract

“…Recently, the Adaptive control technique has witnessed much attention in control theory society due to its ability to deal with system uncertain or unknown dynamics [1]- [9]. Generally speaking, universal approximator such as neural networks (NNs) and fuzzy logic systems (FLSs) tools was a good solution to overcome system uncertainty [10] [11], or fuzzy systems as universal approximator [1]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…In the direct, one controller consists to approximate the ideal control law with the help of a fuzzy system (see Refs. [12] [13] [14] [1]- [9]). However, the indirect resides on the approximation of the uncertain nonlinear system using fuzzy systems and based on these approximations.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Fault-Tolerant Control for a Class of Nonlinear Systems under Actuator Faults: Application to an Inverted Pendulum

Bounemeur¹,

Chemachema²

2021

IJRCS

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This work investigates a fuzzy direct adaptive fuzzy fault-tolerant Control (FFTC) for a class of perturbed single input single output (SISO) uncertain nonlinear systems. The designed controller consists of two sub-controllers. One is an adaptive unit, and the other is a robust unit, whereas the adaptive unit is devoted to getting rid of the dynamic uncertainties along with the actuator faults, while the second one is developed to deal with fuzzy approximation errors and exogenous disturbances. It is proved that the proposed approach ensures a good tracking performance against faults occurring, uncertainties, and exogenous disturbances, and the stability study of the closed-loop is proved regarding the Lyapunov direct method in order to prove that all signals remain bounded. Simulation results are presented to illustrate the accuracy of the proposed technique.

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“…In [13], fault diagnosis combined with model predictive control was applied to a hybrid actuator. Whereas in [14], authors propose an active FT controller based on a Nussbaum-type function to deal with actuator faults.…”

mentioning

confidence: 99%

Fuzzy Fault-Tolerant Control Applied on Two Inverted Pendulums with Nonaffine Nonlinear Actuator Failures

Bounemeur

Chemachema²,

Bouzina

2023

IJRCS

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This paper deals with the problem of fault-tolerant control for a class of perturbed nonlinear systems with nonlinear non-affine actuator faults. Fuzzy systems are integrated into the design of the control law to get rid of the system nonlinearities and the considered actuator faults. Two adaptive controllers are proposed in order to reach the control objective and ensure stability. The first term is an adaptive controller involved to mollify the system uncertainties and the considered actuator faults. Therefore, the second term is known as a robust controller introduced for the purpose of dealing with approximation errors and exogenous disturbances. In general, the designed controller allows to deal automatically with the exogenous disturbances and actuator faults with the help of an online adaption protocol. A Butterworth low-pass filter is utilized to avoid the algebraic loop issue and allows a reliable approximation of the ideal control law. A stability study is performed based on Lyapunov's theory. Two inverted pendulum example is carried out to prove the accuracy of the controller.

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Fault Diagnosis of Uncertain Hybrid Actuators Based Model Predictive Control

Cited by 16 publications

References 13 publications

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Adaptive Fuzzy Fault-Tolerant Control for a Class of Nonlinear Systems under Actuator Faults: Application to an Inverted Pendulum

Fuzzy Fault-Tolerant Control Applied on Two Inverted Pendulums with Nonaffine Nonlinear Actuator Failures

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