Robust  control of an active suspension system with actuator time delay by predictor feedback

Afshar, Keyvan Karim; Javadi, Ali; Jahed‐Motlagh, Mohammad Reza

doi:10.1049/iet-cta.2017.0970

Cited by 35 publications

(15 citation statements)

References 39 publications

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“…In physical and practical systems, signals to control systems are not known but are random and stochastic in nature [35]. Terefore, it seems that the behavior of the controller in the presence of a stochastic disturbance is more like the real world than the constant disturbance.…”

Section: Simulation Resultsmentioning

confidence: 99%

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RobustH_∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method

Maleki

Moradi

2022

Complexity

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In this study, the speed control of a DC motor with input delay and external disturbance is investigated. A delay-dependent memory state feedback robust predictor-based H ∞ controller that formerly has presented is utilized. Sufficient LMIs conditions provide the stabilizing gain of the predictor-based controller. The first-order model of a DC motor has been studied previously using PID and STA (super twisting algorithm) methods. However, in this paper, the delay-dependent robust H ∞ controller is used on both the first and second orders of the DC motor. Finally, the predictor-based H ∞ controller is compared to the PID controller and the common H ∞ controller as well. The simulation results show that the proposed method has been more useful and efficient.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Te H ∞ control method based on the predictor that has been presented in [35] for an LTI system in the presence of input delay and external disturbance is briefy recalled in this section.…”

Section: Presentation and Formulation Of The Methodsmentioning

confidence: 99%

RobustH_∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method

Maleki

Moradi

2022

Complexity

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“…In a control system with sensing delay, the controller may only have past information about state variables of the plant (sensing delay) and in a control system with actuation delay, the updated control signal may never reach the plant promptly (actuation delay). One of the most common stabilization methods in this context is based on using the family of predictor feedback controllers, 3,5,8,9,[12][13][14][15][16] due to their ability in prediction of the state variables of dynamical systems. Due to the implementation difficulty of predictor feedback, 12,13 it has been simplified to the truncated predictor one.…”

Section: Introductionmentioning

confidence: 99%

“…One of the most common stabilization methods in this context is based on using the family of predictor feedback controllers, 3,5,8,9,[12][13][14][15][16] due to their ability in prediction of the state variables of dynamical systems. Due to the implementation difficulty of predictor feedback, 12,13 it has been simplified to the truncated predictor one. Yoon and Lin 14 have designed a truncated predictor state feedback controller for stabilization of a linear system with the known delay value.…”

Section: Introductionmentioning

confidence: 99%

Event-triggered delay-independent truncated predictor feedback stabilization of Lipschitz nonlinear input delay systems with state quantization

Golestani

Tavazoei

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article addresses the event-triggered control design for stabilization of Lipschitz nonlinear systems with time-varying input delay and state quantization constraints. The stabilization is done by an event-triggered delay-independent truncated predictor feedback controller using the information of the upper bound of time-varying input delay (and not its exact value). A sufficient condition on the value of this upper bound in order to guarantee the stability of the closed-loop system under the state quantization constraints is derived. Also, the avoidance of Zeno behavior is proved by finding a lower bound for each two successive events. Various numerical examples illustrate the effectiveness of the obtained results.

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“…An actuator fault compensation scheme is proposed, which can achieve arbitrarily small tracking errors in the presence of nonlinear actuators with random faults [5]. And there are more and more control strategies for active suspension, such as H∞ control [4,[8][9][10][11], optimal control [12][13][14][15], neural network control [16][17][18][19], LQG control [20,21], predictive control [22], and sliding mode control [14,23].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the New Index Reaching Law of the Active Suspension Sliding Mode Controller Based on the Cuckoo Search Algorithm

Wei

2021

Complexity

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To facilitate the performance of the active suspension system, the optimization of a new reaching law of the active suspension sliding mode controller based on cuckoo algorithm is addressed in this paper. Firstly, a linear model of the active suspension system is built. Then, according to the features of the new exponential reaching law, an active sliding mode control scheme based on the new sliding mode reaching law is designed. Finally, the simulation results are separated into two stages to verify the suitability and superiority of the proposed control scenario.

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Robust control of an active suspension system with actuator time delay by predictor feedback

Cited by 35 publications

References 39 publications

RobustH_∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method

RobustH_∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method

Event-triggered delay-independent truncated predictor feedback stabilization of Lipschitz nonlinear input delay systems with state quantization

Optimization of the New Index Reaching Law of the Active Suspension Sliding Mode Controller Based on the Cuckoo Search Algorithm

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Robust control of an active suspension system with actuator time delay by predictor feedback

Cited by 35 publications

References 39 publications

RobustH∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method

RobustH∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method

Event-triggered delay-independent truncated predictor feedback stabilization of Lipschitz nonlinear input delay systems with state quantization

Optimization of the New Index Reaching Law of the Active Suspension Sliding Mode Controller Based on the Cuckoo Search Algorithm

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Product

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RobustH_∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method

RobustH_∞Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor‐Based Method