Novel mingled reformed recurrent hermite polynomial neural network control system applied in continuously variable transmission system

Jung Chu Ting, Der Fa Chen

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

Compared with the classical linear controller, the nonlinear controller can result better control performance for the nonlinear uncertainties of the continuously variable transmission (CVT) system which is spurred by the synchronous reluctance motor (SynRM). The better control performance obtained by use of the proposed novel mingled reformed recurrent Hermite polynomial neural network (MRRHPNN) control system can be presented dynamic behavior for the nonlinear uncertainties of CVT system. The novel MRRHPNN control system can carry out overlooker control system, reformed recurrent Hermite polynomial neural network control (RRHPNN) with an adaptive law, and reimbursed control with an appraised law. Additionally, in accordance with the Lyapunov stability theorem, the adaptive law in the RRHPNN and the appraised law of the reimbursed control are established. Furthermore, two varied learning rates of two weights for the RRHPNN according to increment-type Lyapunov function are derived to help improving convergence. At last the obtained better control performances by use of the proposed control method are verified through the illustrated results by the comparative experimentations.

原文English
頁(從 - 到)4399-4412
頁數14
期刊Journal of Mechanical Science and Technology
32
發行號9
DOIs
出版狀態Published - 2018 九月 1

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering

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