Equivalent sliding mode controller for ball and plate system based on RBF optimized by PSO
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Xu, Yunyun, Dong, Xiucheng and Shi, Peng (2012) Equivalent sliding mode controller for ball and plate system based on RBF optimized by PSO. ICIC Express Letters, 6 (2). pp. 517-522. ISSN 1881-803X
Abstract
This paper presented an equivalent sliding mode control based on a radial basis function (RBF) neural network optimized by partical swarm optimization (PSO) for the trucking control of the ball and plate system. Thus the advantage that RBF neural network could approach any function was played, and the robustness of sliding mode control (SMC) was retained. Simulation results show that the method has strong robustness and tracking error is smaller.
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/10460 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > FOR Classification > 0913 Mechanical Engineering Historical > SEO Classification > 970101 Expanding Knowledge in the Mathematical Sciences Historical > Faculty/School/Research Centre/Department > School of Engineering and Science |
| Keywords | ResPubID25080, ResPubID25783, ball and plate system, control system, under-actuated system, sliding mode control, trajectory tracking, nonlinear system, neural network, robust design, learning speed |
| Citations in Scopus | 4 - View on Scopus |
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