Adaptive Command-Filtered Fuzzy Nonsingular Terminal Sliding Mode Backstepping Control for Linear Induction Motor
Source abstract
Abstract
This paper puts forward a projection-based adaptive command filtered fuzzy nonsingular terminal sliding mode backstepping (PACFTB) control method for the speed control of the linear induction motor (LIM) with unknown end effects. Firstly, the technique of fuzzy logic systems (FLS) is investigated to approximate the nonlinear components of the LIM’s mathematical model, which reduces the difficulty and cost of controller design. Then, a constrained command-filtered backstepping controller is designed with a filtering compensator compensating for the inherent error of constrained filter. Moreover, the nonsingular terminal sliding mode control method is combined in the controller design for its advantages of finite-time convergence of the system, and the projection-operator-based adaptive laws are established at the same time. Finally, the stability analysis proves that the boundedness and stability of all signals can be ensured with the proposed PACFTB controller, and the simulation results along with experiment results verify that the proposed control strategy has better control performance than the conventional command filter backstepping and PI controller.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Sensorless Control of Electric Motors · Adaptive Control of Nonlinear Systems · Fuzzy Logic and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automation, Nanjing Institute of Technology, Nanjing 211167, China
Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Yibin 644005, China
College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225009, China
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Funding
National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities · National Science Foundation of Jiangsu Province of China
References (32)
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