Affiliation:
1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China
2. Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong, China
Abstract
To achieve stabilisation control of an underactuated bridge crane system, a new robust control strategy for the sliding mode is proposed in this paper. It can realise finite-time-convergent stabilisation control under the conditions of model uncertainty, parameter perturbation and external interference. In contrast to the existing methods, our method does not need prior information of the dynamic characteristics of the bridge crane system, and can make the system converge to the equilibrium state at the preset time. Specifically, the nonlinear model of the bridge crane system is linearised with partial feedback, and adaptive signals are introduced. Then, according to the form of the transformed system, a fast terminal sliding mode surface is constructed, and an adaptive terminal sliding mode controller is designed. According to strict analysis, the proposed control law ensures that the system converges to the equilibrium point in finite time and provides the convergence time. Finally, the effectiveness and robustness of the proposed control method are verified by comparing the simulation and experimental results with existing methods.
Funder
Teaching quality engineering and teaching reform project in Guangdong Province
Special projects in key areas of Guangdong Province
Science and Technology Project of Jiangmen City
National Natural Science Foundation of China
Subject
Applied Mathematics,Control and Optimization,Instrumentation
Cited by
1 articles.
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