| Summary: | 碩士 === 中原大學 === 電機工程研究所 === 90 === Abstract
The purpose of this thesis is to develop the drive and control systems for a single-axis platform using linear ultrasonic motor (LUSM). The developed systems can be separated into two parts, one is the driver system, the other is the control system. First, the optimal operating frequencies of a -order and a -order resonant converters are derived. Then, a -order LC-type series-resonant inverter and a -order LLCC-type resonant inverter are developed to drive the LUSM. On the other hand, the exact mathematical model of LUSM is difficult to obtain. Moreover, the motor parameters are nonlinear and time-varying due to the increasing in temperature and the changing in motor drive operating conditions. The intelligent control systems, which use learning laws and inference mechanisms based on the understanding of the controlled plant, have robust control characteristics and the ability to increase the precision of the control systems without using the exact mathematical models of the controlled plant. Therefore, a fuzzy neural network (FNN) and a wavelet neural network (WNN) are developed individually in this thesis to control the single-axis platform. With the proposed intelligent controllers, the position response of the mover of the single-axis platform possesses the advantages of good transient control performance and robustness to uncertainties for the tracking of periodic reference trajectories. Finally, the effectiveness of the proposed control schemes is verified by some experimental results.
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