Abstract
Because a V-belt continuously variable transmission system driven by Permanent magnet synchronous motor (PMSM) has many nonlinear and time-varying characteristics, the linear control design with better control performance has to execute a complex and time consuming procedure. To reduce this difficulty and raise robustness of system under the occurrence of the uncertainties, a hybrid recurrent Laguerre-orthogonal-polynomial Neural network (NN) control system which has online learning ability to respond to the system’s nonlinear and time-varying behavior is proposed in this study. This control system consists of an inspector control system, a recurrent Laguerre- orthogonal-polynomial NN control with adaptive law and a recouped control with estimated law. Moreover, the adaptive law of online parameter in the recurrent Laguerre-orthogonal-polynomial NN is derived using Lyapunov stability theorem. Two optimal learning rates of the parameters based on modified Particle swarm optimization (PSO) are proposed to achieve fast convergence. Finally, to verify the effectiveness of the proposed control scheme, comparative studies are demonstrated by experimental results.
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16 January 2021
An Erratum to this paper has been published: https://doi.org/10.1007/s12206-020-1243-8
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Recommended by Associate Editor Junzhi Yu
Chih-Hong Lin received his B.S. and M.S. in Electrical Engineering for National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C., in 1989 and 1991, respectively. He received his Ph. D. in Electrical Engineering from Chung Yuan Christian University, Chung Li, Taiwan, R.O.C., in 2001. He is currently an associate Professor in the electrical engineering, National United University, Miao Li, Taiwan, R.O.C. His research interests are in power electronics, motor drive and control.
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Lin, CH. RETRACTED ARTICLE: Application of hybrid recurrent Laguerre-orthogonal-polynomial NN control in V-belt continuously variable transmission system using modified particle swarm optimization. J Mech Sci Technol 29, 3933–3952 (2015). https://doi.org/10.1007/s12206-015-0839-x
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DOI: https://doi.org/10.1007/s12206-015-0839-x