An Adaptive Supervisory Sliding Fuzzy Cerebellar Model Articulation Controller for Sensorless Vector-Controlled Induction Motor Drive Systems
| Autor: | Jen-Hsiang Chou, Shun-Yuan Wang, Chun-Jung Chiu, Chwan-Lu Tseng, Shou-Chuang Lin |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Vector control Mean squared error business.industry Control engineering fuzzy cerebellar model articulation controller (FCMAC) lcsh:Chemical technology Biochemistry Atomic and Molecular Physics and Optics Fuzzy cerebellar model articulation controller Article Analytical Chemistry Integral sliding surface speed sensorless vector control Lyapunov theory Control theory Convergence (routing) lcsh:TP1-1185 integral sliding surface Electrical and Electronic Engineering business Intelligent control Instrumentation Induction motor |
| Zdroj: | Sensors, Vol 15, Iss 4, Pp 7323-7348 (2015) Sensors Volume 15 Issue 4 Pages 7323-7348 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| Popis: | This paper presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC) in the speed sensorless vector control of an induction motor (IM) drive system. The proposed adaptive supervisory sliding FCMAC comprised a supervisory controller, integral sliding surface, and an adaptive FCMAC. The integral sliding surface was employed to eliminate steady-state errors and enhance the responsiveness of the system. The adaptive FCMAC incorporated an FCMAC with a compensating controller to perform a desired control action. The proposed controller was derived using the Lyapunov approach, which guarantees learning-error convergence. The implementation of three intelligent control schemes--the adaptive supervisory sliding FCMAC, adaptive sliding FCMAC, and adaptive sliding CMAC--were experimentally investigated under various conditions in a realistic sensorless vector-controlled IM drive system. The root mean square error (RMSE) was used as a performance index to evaluate the experimental results of each control scheme. The analysis results indicated that the proposed adaptive supervisory sliding FCMAC substantially improved the system performance compared with the other control schemes. |
| Databáze: | OpenAIRE |
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