本論文研究的目的是研製以數位信號處理器TMS320C32為控制核心之永磁同步馬達伺服驅動系統與發展智慧型控制系統,達到強健性精密定位控制之目的。本論文首先研製一由電流控制的脈波寬度調變電壓源反流器、磁場導向機構及保護電路所組成之磁場導向的永磁同步馬達驅動系統,然後利用數位信號處理器控制板來執行磁場導向控制法則與座標轉換的運算。接著設計一積分-比例位置控制器以控制永磁同步馬達的轉子位置,而積分-比例位置控制器的設計係利用到馬達轉子之機械參數,使其滿足系統在時域命令時的追隨規格。此外,為了使永磁同步馬達驅動系統能在參數變化和外來干擾時具備強健之控制性能,本論文提出遞迴式模糊類神經網路補償器,及以遞迴式模糊類神經網路為基礎之積分-比例位置控制器線上增益調整控制系統,分別控制永磁同步馬達以符合週期性方波命令的追隨規格,並且增加驅動系統的強健性。最後,上述各控制系統之有效性均由模擬和實測結果來加以驗證。
The purpose of this thesis is to develop an intelligent controlled servo drive system for a permanent magnet synchronous motor (PMSM) to achieve precision control with robustness based on TMS320C32 digital signal processor (DSP). First, a field-oriented PMSM servo drive system which consists of a ramp comparison, a current-controlled PWM VSI, a field-oriented mechanism and protect circuits are implemented. Next, a DSP control board is developed to implement the field-oriented mechanism and coordinate transfermation. Then, an integral-proportional (IP) position controller is introduced to control the rotor position of the PMSM. The IP position controller is designed according to the rotor mechanical parameters to match the time-domain command tracking specifications. Moreover, to maintain the control performance of the PMSM drive system under the occurrence of parameter variations and external disturbance, a compensator based on recurrent fuzzy neural network (RFNN) and an IP control system with on-line gain tuning using RFNN are both proposed to match the periodic step command tracking specifications and to increase the robustness of the PMSM drive system. Finally, the effectiveness of the proposed control schemes is demonstrated by some simulated and experimental results.