Design of Cerebellar Model Articulation Controllers for High Power Efficiency Vector Control System

• Main Authors: Ku-Yuan Li, 李谷元
• Other Authors: 王順源
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/8tb29m

碩士 === 國立臺北科技大學 === 電機工程系所 === 93 === In this thesis, a cerebellar model articulation PI controller (CMAPIC) is proposed and embedded into the induction motor vector control system to control speed and estimate parameters. The advantages of the CMAPIC include rapid learning convergence, simple structure, on-line training, and non-linear learning ability. With the aid of projection algorithm, the CMAC is applicable for on-line control. Moreover, by introducing the distribution errors with the credibility of weights, credit assigned CMAC (CA-CMAC) can accelerate the convergence rate. The induction motor drives considered in this thesis adopts the direct field orientation control (DFOC) and adaptive control law to propose the adaptive flux observer. To establish the sensorless control and prevent the drift of rotor flux, the CMAPIC is used to control the speed and estimate the rotor resistance. As to the adaptive observer, the pseudo-reduced-order flux observer (APRO) is used. Comparing to the adaptive full-order flux observer (AFO), the locations of assigned poles is not necessarily adjusted as the speed command varies. Also, the stability is improved. By applying the high power efficiency control, the efficiency is increased during the steady-state operation of induction motor. From the experimental results, in the operation conditions: the range of speed is set from 2% to 100% of rated speed, and the load condition is 8Nm, it is seen that the speed response of induction motor vector control system equipped with the novel CMAPIC is fast and the robustness is retained In addition, the experiment results demonstrate that the power loss is reduced by using the high power efficiency control algorithm.