Design of Fuzzy Cerebellar Model Articulation Controller for High Efficiency IM Vector Control System

• Main Authors: Bo-Jhih Chen, 陳柏志
• Other Authors: 王順源
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/9txg6u

碩士 === 國立臺北科技大學 === 機電整合研究所 === 95 === In this thesis, a Fuzzy-CMAPIC (FCMAPIC) and the corresponding speed control of induction motor (IM) are proposed. The controller is integrated by the cerebellar model articulation PI controller (CMAPIC) and the fuzzy logic concept. The advantages of the FCMAPIC include rapid learning ability, simple structure, and non-linear function learning capability. With the aid of projection algorithm, the FCMAPIC can effectively achieve the on-line learning and real-time control. Moreover, in order to accelerate the convergence rate of FCMAPIC tuning, the credit assignment (CA) technique is adopted in this research. As to the vector control, the motor drive adopts the direct field orientation control (DFOC). To modify the control actions in presence of the IM parameter variation, the pseudo-reduced-order flux observer (APRO) is designed by using adaptive control law. In order to establish the speed sensor-less control and overcome the drift effect of rotor resistance, the CMAPICs are also used to estimate speed and rotor resistance separately. In addition, to reduce the loss of current and increase the efficiency during the steady-state operation, the high efficiency control is embedded into the system. Under the operation conditions that the speed range varies from 36rpm to 2000rpm with 8-Nm torque load, experimental results indicate that the speed response has fast robust tracking ability, especially under low-speed operations. Also, the power-saving property is examined by the experiments of high efficiency control.