期刊刊名：南台學報 　 卷期：34卷4期

篇名出版日期：2009年12月2日

作者：Pei-Chung Chen,陳沛仲

語言：English

關鍵字：類神經網路,模糊系統,滑動模式控制,neural network, fuzzy system, sliding mode control

被點閱次數：5次

閱讀時間：14sec

摘要：
In this paper, a neural-fuzzy sliding-mode control scheme is proposed and implemented to a trolley control system. The nonlinearities, uncertainties and unknown disturbances, such as second-hand DC motors, vibration effect, variable friction, gear backlash, stick-and-slip and self-made driving circuits, of the proposed platform affect the dynamic behavior very much. In order to simplify the design of controller, the system model is obtained experimentally. Due to the un-modeling of uncertainties, nonlinearities, and unknown disturbances, the simulation results are better than the experimental ones. The comparisons between numerical simulations and experiments of using the proposed, sliding-mode and PI control ones are illustrated in this paper. Either numerical simulations or experimental results show that the proposed control scheme is better than the sliding-mode or PI control scheme in reducing the chattering of control signal and the control performances. It indicates that applying neural-fuzzy sliding-mode control to an ill-defined control system is available and effective.

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