Because the V-belt continuously variable transmission (CVT) system spurred by permanent magnet synchronous motor (PMSM) has unknown nonlinear and time-varying properties, the better control performance design for the linear control design is a time consuming procedure. In order to conquer difficulties for design of the linear controllers, the hybrid recurrent Laguerre orthogonal polynomials neural network (NN) control system, which has online learning ability to react to unknown nonlinear and time-varying characteristics, is developed for controlling PMSM servo-driven V-belt CVT system with the lumped nonlinear load disturbances. The hybrid recurrent Laguerre orthogonal polynomials NN control system consists of an inspector control, a recurrent Laguerre orthogonal polynomials NN control with adaptation law, and a recouped control with estimation law. Moreover, the adaptation law of online parameters in the recurrent Laguerre orthogonal polynomials NN is originated from Lyapunov stability theorem. Additionally, two varied learning rates of the parameters by means of modified particle swarm optimization (PSO) are posed in order to achieve better convergence. At last, comparative studies shown by experimental results are illustrated in order to verify the effectiveness of the proposed control scheme.
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September 2015
Research-Article
Application of V-Belt Continuously Variable Transmission System Using Hybrid Recurrent Laguerre Orthogonal Polynomials Neural Network Control System and Modified Particle Swarm Optimization
Chih-Hong Lin
Chih-Hong Lin
Department of Electrical Engineering,
e-mail: jhlin@nuu.edu.tw
National United University
,No. 1, Lienda, Kung-Jing Li
,Maioli City 36003
,Miaoli County
, Taiwan
e-mail: jhlin@nuu.edu.tw
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Chih-Hong Lin
Department of Electrical Engineering,
e-mail: jhlin@nuu.edu.tw
National United University
,No. 1, Lienda, Kung-Jing Li
,Maioli City 36003
,Miaoli County
, Taiwan
e-mail: jhlin@nuu.edu.tw
Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS. Manuscript received September 9, 2014; final manuscript received February 24, 2015; published online June 10, 2015. Assoc. Editor: Paramsothy Jayakumar.
J. Comput. Nonlinear Dynam. Sep 2015, 10(5): 051019 (16 pages)
Published Online: September 1, 2015
Article history
Received:
September 9, 2014
Revision Received:
February 24, 2015
Online:
June 10, 2015
Citation
Lin, C. (September 1, 2015). "Application of V-Belt Continuously Variable Transmission System Using Hybrid Recurrent Laguerre Orthogonal Polynomials Neural Network Control System and Modified Particle Swarm Optimization." ASME. J. Comput. Nonlinear Dynam. September 2015; 10(5): 051019. https://doi.org/10.1115/1.4030061
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