Adaptive Integral Sliding-Mode Position Control of a Coupled-Phase Linear Variable Reluctance Motor for High-Precision Applications
Autor: | Ruchao Pupadubsin, Nattapon Chayopitak, Kanokvate Tungpimolrut, S. Kachapornkul, N. Nulek, D. G. Taylor, P. Jitkreeyarn, P. Somsiri |
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Rok vydání: | 2012 |
Předmět: |
Engineering
Adaptive control business.industry Control engineering Linear motor Motion control Industrial and Manufacturing Engineering Integral sliding mode Reluctance motor Control and Systems Engineering Control theory Control system Electrical and Electronic Engineering Robust control business Machine control |
Zdroj: | IEEE Transactions on Industry Applications. 48:1353-1363 |
ISSN: | 1939-9367 0093-9994 |
Popis: | Key factors limiting the greater use of linear motors are motor cost and complexity of controls. This paper develops an adaptive sliding-mode position control of a coupled-phase linear variable reluctance (LVR) motor for high-precision applications. With several distinct features, the LVR motor can be considered a strong candidate for high-performance linear motion applications due to its simple structure, compactness, and low cost with no permanent magnet. The adaptive position controller based on sliding-mode control is considered because of its simple structure and robustness against uncertain perturbations and external disturbances. The designed controller consists of the following: (1) an inner force control loop based on the sinusoidal flux model for simplicity and computational efficiency and (2) an outer position control based on the adaptive sliding-mode control to enhance the system robustness and to achieve high accuracy for highprecision applications. The LVR motor prototype was constructed for laboratory test, and the controller is implemented on a realtime DSP-based controller card. The comparative experimental results clearly show that the proposed controller is suitable for controlling the LVR motor system for high-accuracy applications and effective for reducing the chattering. |
Databáze: | OpenAIRE |
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