Tracking Performance Improvement for Operator-based Nonlinear Robust Control of Wireless Power Transfer Systems with Uncertainties

Gao, Xudong; Deng, Mingcong

doi:10.1007/s12555-018-0294-4

Cited by 11 publications

(2 citation statements)

References 35 publications

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“…An operator-based robust right coprime factorization approach could be used to guarantee the bounded input and bounded output stability of nonlinear systems [25][26][27][28]. Since the approach is useful when dealing with robust stability of the nonlinear system [29][30][31], it has been adopted in many industrial applications, such as L-shaped arm, Peltier actuated thermal process, and so on [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization of control system design for uncertain wireless power transfer systems using modified genetic algorithm

Gao

Cao

Yang

et al. 2022

CAAI Trans on Intel Tech

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The closed‐loop wireless power transfer (WPT) system can realize constant voltage output in the presence of perturbation. However, the parameter design of the controller is a difficult problem. The traditional trial‐and‐error method is time‐consuming and difficult to find optimal parameters. A parameter optimization strategy of control systems for uncertain WPT systems using the modified genetic algorithm (MGA) is proposed. Firstly, because the system has different characteristics at different periods, the simulation process is divided into three stages. The first one is the start‐up stage, in which we mainly consider the overshoot and the rate of the voltage rise. The second one is the tracking stage, in which the tracking time and switching loss are mainly considered. The third one is the stabilisation stage, in which the steady‐state error and switching loss are mainly considered. Secondly, three cost functions are designed according to the characteristics of the three stages, and then the optimal controller parameters of each stage are obtained by using MGA. Finally, the effectiveness of the proposed method is verified by simulation. The optimization results show that compared with the previous parameter optimization method, the optimal controller parameters obtained by the proposed method make the WPT system achieve better performance.

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Section: Introductionmentioning

confidence: 99%

Parameter optimization of control system design for uncertain wireless power transfer systems using modified genetic algorithm

Gao

Cao

Yang

et al. 2022

CAAI Trans on Intel Tech

Self Cite

View full text Add to dashboard Cite

show abstract

“…It provides a convenient approach to study the input-output stability of nonlinear feedback control systems. The papers [23][24][25][26] studied the robust right coprime factorization of a nonlinear system with perturbations. A spiral heat exchanger mathematical model is described by integer differential equations in traditional methods.…”

Section: Introductionmentioning

confidence: 99%

Operator-Based Fractional-Order Nonlinear Robust Control for the Spiral Heat Exchanger Identified by Particle Swarm Optimization

Dong

Deng

2022

Electronics

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Fractional-order calculus and derivative is extended from integral-order calculus and derivative. This paper investigates a nonlinear robust control problem using fractional order and operator theory. In order to improve the tracking performance and antidisturbance ability, operator- and fractional-order-based nonlinear robust control for the spiral counter-flow heat exchanger described by the parallel fractional-order model (PFOM) is proposed. The parallel fractional-order model for the spiral counter-flow heat exchanger was identified by particle swarm optimization (PSO) and the parameters of a fractional-order PID (FOPID) controller were optimized by the PSO. First, the parallel fractional-order mathematical model for a spiral counter-flow heat exchanger plant was identified by PSO. Second, a fractional-order PID controller and operator controller for the spiral heat exchanger were designed under the identified parallel fractional-order mathematical model. Third, the parameters of the operator and fractional-order PID were optimized by PSO. Then, tracking and antidisturbance performance of the control system were analyzed. Finally, comparisons of two control schemes were performed, and the effectiveness illustrated.

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Decoupling Control Scheme Bridging Frequency Tracking and DC Output Stabilizing for Wireless Charging System of Autonomous Underwater Vehicles

Zheng

Wang

Ahmed

2022

Int. J. Control Autom. Syst.

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Tracking Performance Improvement for Operator-based Nonlinear Robust Control of Wireless Power Transfer Systems with Uncertainties

Cited by 11 publications

References 35 publications

Parameter optimization of control system design for uncertain wireless power transfer systems using modified genetic algorithm

Parameter optimization of control system design for uncertain wireless power transfer systems using modified genetic algorithm

Operator-Based Fractional-Order Nonlinear Robust Control for the Spiral Heat Exchanger Identified by Particle Swarm Optimization

Decoupling Control Scheme Bridging Frequency Tracking and DC Output Stabilizing for Wireless Charging System of Autonomous Underwater Vehicles

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