Robust Adaptive Full-Order TSM Control Based on Neural Network

Symmetry

Fengqin Wang¹  Dan Liu²  Hui Sun²  Chongzhen Cao²  Qianlei Cao³ 

[1] College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China;College of Transportation, Shandong University of Science and Technology, Qingdao 266590, China;Qingdao Topscomm Communication Co., Ltd., Qingdao 266024, China;

关键词: finite-time control;    terminal sliding mode;    chattering;    neural network;   

DOI  :  10.3390/sym10120726

来源: DOAJ

【 摘 要 】

Existing full-order terminal sliding mode (FOTSM) control methods often require a priori knowledge of the system model. To tackle this problem, two novel neural-network-based FOTSM control methods were proposed. The first one was model based but did not require knowledge of the uncertainties’ bounds. The second one was model free and did not require knowledge of the system model. Finite-time convergence of the two schemes was verified by theoretical analysis and simulation cases. Meanwhile, the designed methods avoided singularity as well as chattering.

【 授权许可】

Unknown