Design of P/N-type Fuzzy Controller for Speed Control of In-Wheel Motor

• Main Authors: CHANG, YIH-TERNG, 張藝騰
• Other Authors: CHIANG, HSIN-HAN
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/32206921071543284078

碩士 === 輔仁大學 === 電機工程學系碩士在職專班 === 105 === Brushless DC motors (BLDCM) have been widely used in electric vehicle because of high performance and simplicity. However, this type of motors is a multi-variable and non-linear system which easily can be influenced by the parameter variations and disturbances, and conventional controllers are unable to handle these problems. Based on the methodology of fuzzy logic controller for model-free control, this paper proposes a hybrid positive/negative fuzzy controller by combining the positive rules and negative rules to achieve the speed tracking control of the in-wheel brushless DC motor. In the development of the proposed fuzzy controller, the rule base of positive and negative rules are determined according to the expert operation of the BLDC drive system in the presence of motor speed tracking response. Furthermore, the dimension of fuzzy rule base can be substantially reduced through the experimental observation in the rule using status, so that the considerable computational complexity in the fuzzy system can be attenuated. In this thesis, the speed tracking control performance under various reference trajectories is presented to verify the validness in the application of in-wheel BLDCM. The experimental results show that the fuzzy logic controller performs better control effect than the conventional PI and PID controllers, and the control system using the positive/negative (P/N) fuzzy controller can outperform even the conventional positive fuzzy controller for speed tracking response with less fuzzy rules. In addition, the simplified rule base of the P/N fuzzy control system can also achieve the same performance as the original one.