Adaptive tracking control for switched nonlinear systems with fuzzy actuator backlash

Lyu, Ziliang; Liu, Zhi; Xie, Kan; Chen, C.L. Philip; Zhang, Yun

doi:10.1016/j.fss.2019.02.008

Cited by 18 publications

(7 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In article [28], the controller composed of the neural network and the sliding mode control is used for backlash compensation. Article [29] introduces the fuzzy system theory and proposes a fuzzy backlash model, in which the backlash parameters are described by fuzzy values instead of deterministic values. At the same time, the fuzzy parameter adjustment algorithm is proposed for backlash compensation.…”

Section: Of 15mentioning

confidence: 99%

A New Control Method for Backlash Error Elimination of Pneumatic Control Valve

Zhang

2021

Processes

View full text Add to dashboard Cite

Backlash is a commonly non-linear phenomenon, which can directly degrade the control accuracy of a pneumatic control valve. To explain the cause and law of backlash error, and to propose an effective method, many research works on the modeling of a pneumatic control valve system have been carried out. The currently model of a control valve system can be classified as a physical model, data-driven model, and semi-physical model. However, most models only consider the force-displacement conversion process of a pneumatic diagram actuator in a pneumatic control valve system. A physical model based on the whole workflow of the pneumatic control valve system is established and a control method to eliminate the backlash error is proposed in this paper. Firstly, the physical model of the pneumatic control valve system is established, which is composed of three parts: pneumatic diaphragm actuator model, nozzle-flapper structure model and electromagnetic model. After that, the input–output relationship of the pneumatic control valve system can be calculated according to the established physical model, and the calculation results are consistent with the experimental result. Lastly, a self-calibration PID (SC-PID) control method is proposed for backlash error elimination. The proposed method can solve valve stem oscillation caused by backlash during valve control.

show abstract

Section: Of 15mentioning

confidence: 99%

A New Control Method for Backlash Error Elimination of Pneumatic Control Valve

Zhang

2021

Processes

View full text Add to dashboard Cite

show abstract

“…Presently, several effective approaches have been proposed to address the control issue of switched systems. By adopting the common Lyapunov function (CLF) approach, some adaptive control strategies were developed for switched nonlinear systems under arbitrary switchings 3‐7 . Based on the multiple Lyapunov function (MLF) method, an adaptive fuzzy controller was constructed for switched systems with unstable subsystems 8 .…”

Section: Introductionmentioning

confidence: 99%

Adaptive decentralized sensor failure compensation control for nonlinear switched interconnected systems with average dwell time

Zhang

Xiang

2021

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

In this article, we investigate the adaptive decentralized output feedback sensor failure compensation control issue of nonlinear switched interconnected systems. A new switched state observer is designed based on the false state information for estimating unmeasured states. To address the challenges incurred by the partial loss of the effectiveness of sensors, a novel adaptive failure compensation mechanism containing error signals is adopted. Mode‐dependent adaptive laws that can explicitly reflect switchings of the system are designed. A decentralized adaptive failure‐tolerant controller is constructed by using backstepping technique. It is proved that the presented scheme can guarantee that the system outputs track the reference signals and all signals in the closed‐loop system are bounded with average dwell time switchings. A practical simulation example is provided to illustrate the effectiveness of the presented scheme.

show abstract

“…Recently, the issue of control systems subject to actuator nonlinearities has attracted considerable attention, and corresponding strategies aiming at different actuator nonlinearities have been developed in refs. [1][2][3][4][5][6][7][8][9][10]. In refs.…”

Section: Introductionmentioning

confidence: 99%

“…In refs. [9,10], the adaptive tracking control problems are investigated for nonlinear systems with asymmetric actuator backlash and uncertain actuator backlash, respectively. However, they have the main drawback of poor generality since each of them is designed only for a specific type of actuator nonlinearity.…”

Section: Introductionmentioning

confidence: 99%

Adaptive sliding tracking control for nonlinear uncertain robotic systems with unknown actuator nonlinearities

Liu

2021

Robotica

View full text Add to dashboard Cite

This study is concerned with the tracking control problem for nonlinear uncertain robotic systems in the presence of unknown actuator nonlinearities. A novel adaptive sliding controller is designed based on a robust disturbance observer without any prior knowledge of actuator nonlinearities and system dynamics. The proposed control strategy can guarantee that the tracking error eventually converges to an arbitrarily small neighborhood of zero. Simulation results are included to demonstrate the effectiveness and superiority of the proposed strategy.

show abstract

Adaptive tracking control for switched nonlinear systems with fuzzy actuator backlash

Cited by 18 publications

References 60 publications

A New Control Method for Backlash Error Elimination of Pneumatic Control Valve

A New Control Method for Backlash Error Elimination of Pneumatic Control Valve

Adaptive decentralized sensor failure compensation control for nonlinear switched interconnected systems with average dwell time

Adaptive sliding tracking control for nonlinear uncertain robotic systems with unknown actuator nonlinearities

Contact Info

Product

Resources

About