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混成磁浮運輸系統之設計與分析
Thesis

混成磁浮運輸系統之設計與分析

王良原
Masters, National Tsing Hua University
2000

Abstract

磁浮懸浮推進力神經網路多模控制器 Maglevlevitationpropulsion powerneural networkmulti-mode controller
The objective of this dissertation has been aiming at the exploration on controlled-PM Maglev systems propelled by the linear synchronous motors. Due to the complexity in multi-dimensional dynamics for Maglev transportation systems, this thesis has proposed a better mechanical mechanism for controlling each independent levitation unit with minimal coupling effects. The ultimate goal is to achieve a stable levitation on both the zero-power control mode and the fixed-gap control mode.The proposed Maglev transportation system is a multi-controlled model control system designed to exhibit a smooth takeoff under loading or unloading, comfort cruising, and a soft landing. The system has been built by three control modes, namely the tracking control mode, the zero-power control mode, and the fixed-gap control mode. The switching characteristics among the control modes of the controller have been carefully studied as well. As for the control strategy in each control mode, Gain Schedule Control has been employed for enhancing the robustness of the system controller.The final design of the Maglev transportation system has been verified on a car bogie riding on a 3-meter long steel-track, whereas two levitation units, each capable of lifting at least 75kg under the zero-power control, have been installed on the bogie. Experimental results based upon the proposed control structure have shown not only the characteristics of the Maglev transportation system but also the potential applications of the hybrid levitation concept for future implementation.

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