Digital signal processor-based probabilistic fuzzy neural network control of in-wheel motor drive for light electric vehicle
作者： F-J Lin , Y-C Hung , J-C Hwang , I-P Chang , M-T Tsai
DOI: 10.1049/IET-EPA.2011.0153
关键词:
摘要: A digital signal processor (DSP)-based probabilistic fuzzy neural network (PFNN) control is proposed in this study to an in-wheel motor drive using a six-phase permanent magnet synchronous (PMSM) for light electric vehicle (LEV). First, the dynamics of LEV and system with lumped uncertainty are described detail. Then, feedback linearisation designed system. Moreover, non-linear disturbance observer (NDO) applied estimate control. However, response degraded by existed error. In order achieve required performance LEV, PFNN developed The structure its on-line learning algorithm delta adaptation law derived. 32-bit fixed-point DSP, TMS320F2812, adopted implementation intelligent controlled Finally, some experimental results illustrated show validity
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