本論文係以個人電腦為基礎來設計永磁同步馬達(PMSM)模型建立與控制，首先利用交流電機磁場導向控制理論(FOC)推導永磁同步馬達的數學模型，接著用座標系統轉換與解偶控制做到方程式的化簡。模型建立主要採用MATLAB/Simulink、Psim軟體工具來設計，並發展而建立一個原型化的實驗平台，並在此平台上進行控制設計、理論模擬及驅動驗證。 控制器設計方面，在電流和轉速的回授控制迴路中除了使用比例-積分(PI)控制器並且加入控制補償器方式來改善系統響應效能外，另外加入模糊PI控制器方法，調整kp、ki，最後針對Fuzzy的模糊推理系統(FIS)非線性部分，將採用雙前饋式類神經網路(DFNN)速度PI控制器，並使用尺規因素(scaling factors) 參數調整方式，其調整FIS非線性部分更為平順，最後模擬結果，具有快速響應及抗干擾的優良特性。 驅動器模型建立的目標是要得到減少驅動器的轉矩及速度漣波之影響，採用2種變頻調變方式技術，弦波脈波寬度調變(SPWM)，空間向量脈波寬度調變(SVPWM)方法，比較與驗證，最後在這個原型化的實驗平台完成馬達系統測試。 ;This study is PC-based to design Permanent Magnet Synchronous Motor (PMSM) Modeling Establish and Control. First, the mathematical model of a PMSM motor is derived by the field-oriented control (FOC) theory and then the mathematical model is simplified via the decoupling control and coordinate transformation. Software module tools such as MATLAB/Simulink and PSIM are used to design and establish an experimental platform with model prototyping. The design, simulation and implementation of the driver control can be carried out on this platform. In the controller design, in additional to using proportional and integral (PI) controller in current and speed feedback loop control, another way to improve performance of the system response is by adding a control compensator. Subsequently, the method of fuzzy PI controller is used to adjust kp and ki. The dual feedforward artificial neural network (DFNN) speed PI controller and scaling factors to adjust it smoothly are used for the nonlinear part of the Fuzzy Inference System (FIS). Finally, the simulation results with fast response and excellent in anti-interference features are given. The aim of this driver modeling is to get the driver to reduce ripples of the torque and speed by using two kinds of frequency modulation models. These are sinusoidal width modulation (SPWM), and space vector pulse width modulation (SVPWM) methods used to compare and verify the result of simulation.
