臺灣博碩士論文加值系統

本論文針對無感測器直流無刷馬達提出模糊控制器，使馬達上之轉子轉動與定子換相時序能達到同步運轉，獲得馬達最佳效能。直流無刷馬達轉速控制包含了命令模組(command module)與調整模組(regulating module)。命令模組提供換相週期與PWM責任週期控制直流無刷馬達轉速，而以模糊控制器為機制的調整模組則是在外擾的情況下調整馬達轉速。僅藉由兩個電阻量測三相馬達未激磁端的反電動勢訊號去獲得目前馬達的運轉情況取而代之使用昂貴的霍爾感測器。以模糊控制器為機制的調整模組能準確並快速的調整PWM責任週期，促使馬達負載因外在因素影響變動時，馬達依舊能穩定運轉在指定的轉速。在本論文中，為了降低微控制器C8051F330在即時(real-time)控制上的計算負擔，我們能將所有情況經由模糊控制器在離線(off-line)狀況運算過，並將結果記錄下來且建立成一查表。實驗結果顯現出以模糊控制器為調整模組相較於無調整模組以及以比例控制器為調整模組表現優越。

In this thesis, the fuzzy logic controller (FLC) for sensorless brushless dc (BLDC) motor was proposed to synchronize the rotors with the stator windings commutation sequence to obtain the optimum efficiency of motor. There are two modules proposed in the speed control of BLDC motor, i.e. command and regulating modules. Command module is to find and issue commutation period and PWM duty cycle to the BLDC motor for desired speed. The regulating module is designed as a FLC and is used to regulate the speed of BLDC motor subject to disturbances, such as loading effect. Two resistances are adopted to detect the back-EMF signal on the unexcited phase instead of using the expensive Hall sensors. The regulating module can accurately and quickly regulate the PWM duty cycle by fuzzy reasoning which makes the BLDC motor rotate smoothly at desired rotational speed even if there is an external disturbance. In order to reduce the computational load of real-time FLC for the microcontroller C8051F330, we can perform the FLC computation off-line to cover nearly all cases. These data will be recorded and organized as a Look-Up Table (LUT). The regulating module is designed by FLC yield the better results than that without regulating module, and the regulating module via P controller.

摘要 i
ABSTRACT ii
ACKNOWLEDGEMENT iii
TABLE OF CONTENTS iv
LIST OF FIGURES v
LIST OF TABLES vii
CHAPTER 1 Introduction 1
CHAPTER 2 DC Brushless Motor Control Principles 4
2.1 Comparison of brushed dc motor, induction motor and BLDC motor 4
2.2 Introduction of BLDC Motors 6
2.3 The Operation Principle of BLDC motors 8
2.4 Pulse Width Modulation (PWM) 14
2.5 Back Electromotive Force (Back-EMF) 15
CHAPTER 3 Design of Fuzzy Logic Controller for BLDC Motor 17
3.1 Sensing Technologies for BLDC Motor Control 17
3.1.1 BLDC Motor Control using Hall Sensors 17
3.1.2 BLDC Motor Control using Sensorless Technology 19
3.2 Fuzzy Logic Controller for Sensorless BLDC Motor 24
3.2.1 Fuzzy Logic Theory [17] 24
3.2.2 Fuzzy Logic Controller Designing Processes for Sensorless BLDC Motor 27
CHAPTER 4 Implementation of Fuzzy Logic Controller for Sensorless BLDC Motor and Experimental Results 30
4.1 Hardware Architecture of the System 31
4.2 Command Module for the BLDC Motor Control 34
4.3 Regulating Module for the BLDC Motor Control 41
4.4 Experimental Results 49
CHAPTER 5 Conclusion 53
REFERENCES 54

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