Adaptive Wavelet CMAC Tracking Control for Induction Servomotor Drive System
| Autor: | D. C. Pham, Mien-Ka Duong, Duc-Nam Nguyen, ThanhQuyen Ngo |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Lyapunov function
0209 industrial biotechnology Computer science 020208 electrical & electronic engineering Stability (learning theory) Boundary (topology) 02 engineering and technology Servomotor symbols.namesake 020901 industrial engineering & automation Wavelet Cerebellar model articulation controller Control theory Control system 0202 electrical engineering electronic engineering information engineering symbols Electrical and Electronic Engineering |
| Zdroj: | Journal of Electrical Engineering & Technology. 14:209-218 |
| ISSN: | 2093-7423 1975-0102 |
| DOI: | 10.1007/s42835-018-00029-1 |
| Popis: | This research proposes an enhanced control system for induction servomotor to obtain the high-precision position tracking based on wavelet cerebellar model articulation controller. The proposed controller combines the wavelet cerebellar articulation model (WCMAC) with compensator controller to have high performance for the system. The superior properties of the WCMAC are its fast learning of the CMAC and wavelet decomposition capability. Therefore, it is used to mimic a model-based controller with exactly unknown parameters. The compensator controller with an estimated boundary error attenuates the effects of disturbances due to time-varying parameters and load acting on the shaft of motor. The online learning rules of WCMAC derived from gradient-descent method and Lyapunov function is used to estimate bound error to ensure the stability of the system. The experimental results for induction servomotor are provided to conclude the effectiveness of the proposed control system even the dynamic model of the induction servomotor is completely unknown. |
| Databáze: | OpenAIRE |
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