Development of Intelligent Fault Tolerant Control for Six-Phase Permanent Magnet Synchronous Motor Drive System

• Main Authors: Meng-ting Tsai, 蔡孟庭
• Other Authors: Faa-jeng Lin
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/84925446080846369419

碩士 === 國立中央大學 === 電機工程研究所 === 100 === The objective of this thesis is to develop and implement a digital signal processor (DSP) based fault tolerant control of six-phase permanent magnet synchronous motor (PMSM) drive system. This system is suitable for industrial applications such as mechanical tools, electric vehicles and some specific applications. The six-phase PMSM drive system is highly nonlinear and is very sensitive to parameter variations and external disturbance. When the motor winding or the respective inverter is broken, the torque fluctuation will appear due to unbalanced current and the motor will operate under non-smooth situation. Therefore, the fault detection and operating decision method is proposed in the thesis to prevent serious broken. Since, the stability and the fault tolerant control are the most important issues of the six-phase PMSM drive and control system, therefore, two intelligent control systems, which can improve the control performance and the requirements of stability of fault tolerant control of six-phase PMSM drive system, are proposed: a Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function (TSKFNN-AMF) controller and an intelligent complementary sliding-mode controller (ICSMC). The network structure and the online learning algorithms of the intelligent controller are introduced in detail. Moreover, the proposed control systems are implemented in a TMS320F28335 DSP to verify the feasibility of the proposed control schemes.