Dynamic boundary layer based neural network quasi-sliding mode control for soft touching down on asteroid

Liu, Xiaosong; Shan, Zebiao; Li, Yuanchun

doi:10.1016/j.asr.2017.01.046

Cited by 16 publications

(8 citation statements)

References 23 publications

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“…Theorem 1. If the sliding manifold is selected as (21) and the virtual control law φ is designed as follows, the outer-loop voltage-tracking error dynamics can be regulated to reach the ideal manifold in a finite time t r1 ≤ (|s 1 (0)|/η 1 ), thereafter remaining on it and converging to an equilibrium point asymptotically after the current tracking error e id and its derivative ėid converge to zero.…”

Section: Voltage Controller Design For the Outer-loopmentioning

confidence: 99%

“…Although the SMC method brings strong robustness to the control system, it has irreducible chattering which may cause an unmodeled dynamic in the control loop. In [21], a quasi-sliding-mode controller is proposed for the outer loop. However, this method attenuates the chattering by sacrificing precision of the DC voltage and power tracking.…”

Section: Introductionmentioning

confidence: 99%

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Full-Order Terminal Sliding-Mode Control for Soft Open Point

Zhou

et al. 2022

Energies

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In this paper, a full-order terminal sliding-mode control method is proposed for the rectifier side and the inverter side of the soft open point (SOP). The rectifier-side DC voltage control system consists of the voltage- and current-loops with controllers which are designed using full-order sliding-mode (FOSM) to enhance the dynamic performances and anti-disturbance. The integral type virtual control signal without chattering is designed to compensate for the unmatched uncertainties including external disturbances and some parameter perturbations. The full-order terminal sliding-mode (FOTSM) controller for the current-loop can force the current response to track its reference in finite time. The inverter side power control system is designed to regulate the power. The FOTSM controller for the power-loop ensures the power-tracking accuracy under a disturbed condition. Finally, the simulations demonstrate the effectiveness of the proposed controllers for the rectifier and inverter sides in the soft open point (SOP).

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Section: Voltage Controller Design For the Outer-loopmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Full-Order Terminal Sliding-Mode Control for Soft Open Point

Zhou

et al. 2022

Energies

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“…Moreover, knowledge about the upper bounds of the disturbances was not required and the chattering problem was eliminated [30]. Quasi-sliding mode control has been proven to be an effective and efficient robust control technique to deal with nonlinearities, uncertainties, and chattering effects (Liu et al, 2017) [31], but brings great steady-state error, which is not feasible in practice.…”

Section: B Motivations For Workmentioning

confidence: 99%

“…Sliding mode control (SMC) has been widely applied to many kinds of uncertain nonlinear control system. However, there's a drawback of chattering, which can be effectively eliminated by quasi-sliding mode control [31]. In this section, we will establish quasi-sliding mode control and check its steady-state error.…”

Section: B Uncertain Nonlinear Modelmentioning

confidence: 99%

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Exploring the Resilience of Uncertain Nonlinear Handling Chain Systems in Container Ports With a Novel Sliding Mode Control

Yang

et al. 2021

IEEE Access

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Uncertain handling chain system (HCS) of container ports brings steady-state error to the original control decisions, and even worse, dramatically degrades the system performance. The steady-state error will cause unsatisfied freight requirement to be much higher than the expected value for a long time, resulting in the decrease of system robustness and resilience. In this work, a novel sliding mode control with power integral reaching law (SMC-P) is presented for nonlinear HCS of container ports under uncertainty. Specifically, the integral of system state variable, the exponential reaching law and the power of the switching function are integrated to the traditional reaching law. And it is proven that the eliminated steady-state error, the accelerated approach speed, and the reduced chattering can be effectively obtained by SMC-P. A nonlinear HCS in container ports with uncertain freight requirement and handling ability is considered. SMC-P is compared with traditional method, genetic algorithm, quasi-sliding mode control and integral sliding mode control. Simulation results show that SMC-P does not only balance both steady-state error reduction and chattering avoidance caused by uncertainty, but also optimize the performance, robustness, and resilience of the uncertain nonlinear HCS. This study also brings economic and sustainability contributions for port authorities. INDEX TERMS Resilience, uncertain nonlinear handling chain system, sliding mode control, power integral reaching law

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Dynamic boundary layer super‐twisting sliding mode control algorithm based on RBF neural networks for a class of leader‐follower multi‐agent systems

Jia,

Shangguan,

Zheng

2023

Intl J Robust & Nonlinear

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In this paper, the consensus problem of robust sliding mode fault tolerance for a class of leader‐follower multi‐agent systems is discussed. Aiming at a second‐order multi‐agent system with unknown model uncertainty and external disturbance, a new super‐twisting sliding mode control method based on a dynamic boundary layer and neural network is proposed. Firstly, the super‐twisting controller is designed by introducing two new variables, the convergence speed of the control system is greatly improved, and the symbolic function is replaced by an improved dynamic boundary layer, which will be continuously adjusted with the system states, the tracking accuracy of the system is improved, and the chattering problem caused by symbolic function is overcome effectively. Secondly, an radial basis function neural network is used to realize the adaptive approximation to the completely unknown model, so that the controller does not need to depend on the precise mathematical model of the controlled system, and the stability of the closed‐loop system is ensured by adjusting the adaptiveweight. Thirdly, the stability of the whole system is analyzed by the Lyapunov method, and the upper bound of robust consensus error is given by constructing an equivalence relation, meanwhile, the upper bound of the final convergence of the sliding variable in the dynamic boundary layer is analyzed. Finally, the simulation results for a second‐order system show the superior performance of the proposed control algorithm, then it is extended to a class of application systems, and the same conclusion is obtained.

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Dynamic boundary layer based neural network quasi-sliding mode control for soft touching down on asteroid

Cited by 16 publications

References 23 publications

Full-Order Terminal Sliding-Mode Control for Soft Open Point

Full-Order Terminal Sliding-Mode Control for Soft Open Point

Exploring the Resilience of Uncertain Nonlinear Handling Chain Systems in Container Ports With a Novel Sliding Mode Control

Dynamic boundary layer super‐twisting sliding mode control algorithm based on RBF neural networks for a class of leader‐follower multi‐agent systems

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