A novel adaptive-gain higher-order sliding mode controller and its parameters tuning

Xia, Hongwei; Wang, Yanmin; Ren, Shenqiang

doi:10.1007/s11071-021-07037-3

Cited by 9 publications

(2 citation statements)

References 44 publications

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“…As a kind of power electronic equipment, buck converters have been widely used in many fields due to their simple topology, high efficiency and reliability [1], [2]. For the controlled buck converter, owing to the inclusion of nonlinear components such as the inductor, capacitor, and diode, which has different nonlinear static and dynamic characteristics in each operating mode, and is more susceptible to uncertainties and external disturbances and also presents certain challenges to the controllers [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

2022

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In this paper, a novel adaptive continuous sliding mode (SM) control approach is proposed based on the robust stability analysis of buck converters with multi-disturbances. Instead of the traditional first-order SM methods, the twisting algorithm is adopted to realize the control continuity and further weaken their inherent chattering problem. By introducing the zero-crossing detection innovatively, the influence of the traditional twisting algorithm with fixed control gain led to the low precision is effectively eliminated, and the small region can be controlled due to the implementation of the adaptive time-varying control gain. In addition, the magnitude of the controller can be reduced to a minimal admissible level determined by the system stable conditions and the selection of optimization parameters. Furthermore, multiple model uncertainties and external disturbances are considered into the modeling of the buck converters and the proposed adaptive SM controllers to ensure the strong robustness of the whole system while suffering possible disturbances. Finally, comparative simulations and experiments are given to validate the effectiveness of the proposed adaptive control strategy.INDEX TERMS Adaptive continuous sliding mode control, buck converters, zero-crossing detection, multidisturbances, twisting sliding mode control.

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Section: Introductionmentioning

confidence: 99%

Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

2022

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“…Among them, SMC is a method with simple structure but good control performance [11,12,13]. Recently, many SMC methods have been used for the control of MLSs, such as fractional-order SMC [14], PID-based SMC [15],high-order SMC [16], super-twisting SMC [17], and neural network adaptive SMC (NNASMC) [18], and so on. To enhance control performance, many researchers add additional disturbance compensation methods into SMC to deal with the uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Predictive-adaptive sliding mode control method for reluctance actuator maglev system

Ding

et al. 2022

Nonlinear Dyn

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The control performance of reluctance actuator maglev system is seriously affected by inherent nonlinearities (e.g., hysteresis, eddy current, flux leakage, etc.) and external disturbances. To this end, this paper proposes an enhanced unknown system dynamics estimator (USDE)-based sliding mode control (USDE-SMC) method by a novel predictive-adaptive switching (PAS) controller (USDE-SMC-PAS). First, a USDE is incorporated into SMC to compensate for the uncertainties; Second, an adaptive switching (AS) controller is used to reduce chattering; Finally, the switching controller is modified by PAS to enhance the dynamic response ability and disturbance rejection ability with reduced chattering. In the PAS controller, the switching gain comprises a filtered estimate error part and a residual part, which are obtained by a first-order filter and an adaptive law, respectively. Consequently, the strong disturbance compensation ability, high levitation accuracy, high dynamic response, and reduced chattering property can be achieved simultaneously. The stabilities of USDE-SMC, USDE-SMC with an AS controller (USDE-SMC-AS), and USDE-SMC-PAS in the closedloop system are analyzed by the Lyapunov theorem.

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Observer-based finite-time $${H_\infty }$$ sliding mode control of stochastic nonlinear singular systems and its applications

et al. 2022

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A novel adaptive-gain higher-order sliding mode controller and its parameters tuning

Cited by 9 publications

References 44 publications

Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

Predictive-adaptive sliding mode control method for reluctance actuator maglev system

Observer-based finite-time $${H_\infty }$$ sliding mode control of stochastic nonlinear singular systems and its applications

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