| Summary: | 碩士 === 國立臺北科技大學 === 機電整合研究所 === 94 === In this thesis, a Fuzzy Cerebellar Model Articulation PI controller (FCMAPIC) is proposed and embedded into the induction motor vector control system to control speed. Moreover, the system parameters are estimated by using an additional cerebellar model articulation controller. Same as conventional CMAC, the advantages of the FCMAPIC include rapid learning convergence, simple structure, on-line training, and non-linear learning ability. With the aid of projection algorithm, the FCMAC is applicable for on-line control. Essentially, FCMAC is a control method by introducing the fuzzy logic concept into the CMAC. Therefore, the value of input layer can be arbitrary real number in the interval between 0 and 1, and hence can increase the convergence accuracy of system error.
To estimate the system parameters, the induction motor drives adopt the Direct Field Orientation Control (DFOC) and adaptive control law to conduct the adaptive pseudo reduced order flux observer, for the sensorless induction motor vector control system considered in this thesis, to adjust the parameters according to the variations of IM characteristics. 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.
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 FCMAPIC outperforms and the robustness to parameter variations is retained .
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