A discrete‐time indirect adaptive multiple‐model actuator failure compensation scheme

An active fault‐tolerant control scheme for discrete‐time systems is proposed to solve a difficult problem of fault‐tolerant controller design in the presence of partial loss of actuator effectiveness faults and structural parameter uncertainties assumed to be matched, using adaptive control techniques to help a faster and more accurate compensation of failure and uncertainty. An automated fault estimation scheme is developed together with an adaptive model parameter identification to obtain system parameter estimates. With these estimates fed back to the system, a model reference adaptive controller is constructed to achieve a desired tracking performance. Since parameters are obtained and updated online, the control system has an automatic failure compensation capability so as to recognize or reconfigure the control law in real time in response to failure indications. The stability and convergence follow from discrete‐time Lyapunov arguments. Simulation results from the linearized lateral dynamics model of the Boeing 747 airplane are presented to show the efficiency of proposed methods.

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“…Substitute (15), (16) back into (17) and deal with the first difference of V 1 (k + 1) and V 2 (k + 1)…”

Section: Uncertainty and Actuator Fault Estimation Designmentioning

confidence: 99%

Adaptive Active Fault Tolerant Control for Discrete‐Time Systems with Uncertainties

Song

Liu

Zhang

2015

Asian Journal of Control

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“…Many effective fault-tolerant control methods were reviewed in literatures [1][2][3][4][5]. Multimodel adaptive control methods were employed as a fault compensation in literatures [6][7][8]. Literatures [9][10][11] applied neural network to the design of reconfigurable aircraft control in the case of sensors or actuator faults.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

Yao

Yang

2020

International Journal of Aerospace Engineering

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A comprehensive adaptive compensation control strategy based on feedback linearization design is proposed for multivariable nonlinear systems with uncertain actuator fault and unknown mismatched disturbances. Firstly, the linear dynamic system is obtained through nonlinear feedback linearization, and the dynamic model of the mismatched disturbances as well as its relevance to the nonlinear system is given. The effect of disturbances on the system output is suppressed with the basic controller of the linearized system. Then, a direct adaptive controller is developed for the multiple uncertain actuator faults. Finally, an integrated algorithm based on adaptive weighted fusion could provide an effective compensation for the effect of multiple uncertain faults and mismatched disturbances. Thus, the stability and asymptotic tracking performance of the closed-loop system are ensured. The feasibility and performance of the proposed control strategy are validated by the numerical simulation results.

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“…Fault tolerant control (FTC) schemes are designed to guarantee overall systems stability and acceptable performance in the presence of faults. This general problem is an active area of control systems research with recent work including [16,17,18,19,20,21].…”

Section: Introductionmentioning

confidence: 99%

Parameter‐dependent Lyapunov function‐based robust iterative learning control for discrete systems with actuator faults

Ding

Cichy

Gałkowski

et al. 2016

Adaptive Control & Signal

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SUMMARYThis paper considers iterative learning control for a class of uncertain multiple-input multiple-output discrete linear systems with polytopic uncertainties and actuator faults. The stability theory for linear repetitive processes is used to develop control law design algorithms that can be computed using linear matrix inequalities. A class of parameter dependent Lyapunov functions are used with the aim of enlarging the allowed polytopic uncertainty range for successful design. The effectiveness and feasibility of the new design algorithms is illustrated by a gantry robot case study.

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A discrete‐time indirect adaptive multiple‐model actuator failure compensation scheme

Cited by 7 publications

References 24 publications

Adaptive Active Fault Tolerant Control for Discrete‐Time Systems with Uncertainties

Adaptive Active Fault Tolerant Control for Discrete‐Time Systems with Uncertainties

Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

Parameter‐dependent Lyapunov function‐based robust iterative learning control for discrete systems with actuator faults

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