scholarly journals Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247228
Author(s):  
Kai Zhou ◽  
Chengxiang Yuan ◽  
Dongyang Sun ◽  
Ningzhi Jin ◽  
Xiaogang Wu
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Design Method ◽  
Dynamic Performance ◽  
Control Policy ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Mode Control ◽  
Approach Zero ◽  
Parameter Adaptive

The poor dynamic performance problem of a Full-Bridge converter under a traditional control strategy is investigated in this study. A new parameter adaptive terminal sliding mode control policy is developed for a Full-Bridge DC-DC converter, by combining the integral part with the power function and differential function in the design of the sliding surface. In theory, the steady-state error of the system can approach zero within a short time. To manage the un-ideal situation after using a fixed value of power γ, an improved γ adaptive algorithm is proposed. The system output is tracked and γ is adjusted in real time. The effect of the system can be guaranteed always in an optimal state. Finally, simulation results are provided to verify the performance of the proposed design method under different conditions.

scholarly journals Terminal Sliding-Mode Control of Uncertain Robotic Manipulator System with Predefined Convergence Time

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yang Wang ◽  
Mingshu Chen ◽  
Yu Song
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Design Method ◽  
Robotic Manipulator ◽  
Convergence Time ◽  
Terminal Sliding Mode Control ◽  
Tracking Errors ◽  
Terminal Sliding Mode ◽  
Mode Control ◽  
Control Scheme

This paper concentrates on the predefined-time trajectory tracking for an uncertain robotic manipulator system. First, a modified predefined-time control (PTC) algorithm is proposed. Subsequently, with the help of proposed modified PTC algorithm and the nonsingular design method of terminal sliding mode, a novel nonsingular terminal sliding-mode control (NTSMC) scheme is proposed for ensuring the predefined-time convergence of tracking errors. The advantages of the newly proposed control scheme are as follows. (i) Unlike the conventional predefined-time sliding-mode control (SMC) which only guarantees the predefined-time convergence of sliding-mode surface, the proposed scheme can guarantee the predefined-time convergence of tracking errors. (ii) Compared with the conventional PTC algorithm, the proposed modified PTC algorithm can reduce the initial control peaking and enhance the precision of convergence time. The performance and effectiveness of the proposed control scheme are illustrated by comparing with the existing methods.

scholarly journals Fast Terminal Sliding Mode Control of Permanent Magnet In-Wheel Motor Based on a Fuzzy Controller

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 188
Author(s):  
Hao Huang ◽  
Qunzhang Tu ◽  
Ming Pan ◽  
Chenming Jiang ◽  
Jinhong Xue
Keyword(s):  
Sliding Mode Control ◽  
Permanent Magnet ◽  
Control Strategy ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Mode Control ◽  
Chattering Phenomenon ◽  
Fast Terminal Sliding Mode

A fast terminal sliding mode control is proposed in this paper for improving the dynamic performance and robustness of a permanent magnet in-wheel motor system driven by a voltage source inverter. Firstly, a fast terminal sliding mode approaching law was designed to accelerate the approaching rate of the control system. Then, a torque load observer was designed to compensate for disturbances and uncertainties. Finally, fuzzy rules were designed to suppress the chattering phenomenon. Simulation and experimental results demonstrated that the fast terminal sliding mode control strategy presented better response speed than the conventional sliding mode control strategy. It had better dynamic performance and anti-interference and effectively reduced the chattering phenomenon in the control process.

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