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無(wú)刷直流電機(jī)調(diào)速系統(tǒng)控制策略研究

發(fā)布時(shí)間:2018-01-22 11:06

  本文關(guān)鍵詞: 無(wú)刷直流電機(jī) MATLAB/Simulink仿真模型 動(dòng)態(tài)Terminal滑?刂破 直接轉(zhuǎn)矩控制 Anti-windup PI控制器 出處:《河北工程大學(xué)》2015年碩士論文 論文類型:學(xué)位論文


【摘要】:有刷直流電機(jī)的機(jī)械接觸式換相易產(chǎn)生換相火花和機(jī)械磨損,不利于電機(jī)的長(zhǎng)久運(yùn)行。無(wú)刷直流電機(jī)取長(zhǎng)補(bǔ)短,摒棄了機(jī)械接觸式換相,采用電子換相,具有效率高、結(jié)構(gòu)明了、易于控制等優(yōu)點(diǎn),應(yīng)用范圍已遍布工業(yè)生產(chǎn)、航空航天和自動(dòng)化辦公等多項(xiàng)領(lǐng)域。所以,為了提供更多的理論支持,對(duì)無(wú)刷直流電機(jī)領(lǐng)域的研究就被賦予了更多的現(xiàn)實(shí)意義。本文針對(duì)無(wú)刷直流電機(jī)調(diào)速控制系統(tǒng)中的速度控制器設(shè)計(jì)了兩種控制算法,具體工作總結(jié)如下:首先,介紹了本課題的研究背景及意義,論述總結(jié)了無(wú)刷直流電機(jī)及其控制策略現(xiàn)階段的研究狀態(tài)和未來(lái)的發(fā)展方向。其次,在給出了無(wú)刷直流電機(jī)結(jié)構(gòu)組成和工作原理的前提下,通過公式推導(dǎo)得到了電機(jī)的數(shù)學(xué)模型,并利用MATLAB/Simulink對(duì)無(wú)刷直流電機(jī)調(diào)速控制系統(tǒng)進(jìn)行了仿真模型的搭建,通過仿真驗(yàn)證了模型的正確性。然后,在動(dòng)態(tài)Terminal滑模控制理論的基礎(chǔ)上,結(jié)合數(shù)學(xué)模型設(shè)計(jì)了滑模速度控制器。針對(duì)傳統(tǒng)PID速度控制器不能很好地滿足無(wú)刷直流電機(jī)這種變量多、耦合強(qiáng)、復(fù)雜系統(tǒng)的控制精度要求,設(shè)計(jì)了動(dòng)態(tài)Terminal滑?刂破,結(jié)果表明,該控制器可使系統(tǒng)狀態(tài)在有限時(shí)間內(nèi)收斂到期望值,改善了系統(tǒng)穩(wěn)態(tài)跟蹤速度和控制精度效果。最后,在無(wú)刷直流電機(jī)直接轉(zhuǎn)矩控制系統(tǒng)中,設(shè)計(jì)了新型模糊變結(jié)構(gòu)抗飽和Anti-windup PI控制器。針對(duì)系統(tǒng)速度控制器中存在的Windup問題,設(shè)計(jì)了變結(jié)構(gòu)抗飽和Anti-windup PI控制器,并利用模糊理論對(duì)控制器參數(shù)進(jìn)行在線調(diào)整,通過仿真可知,當(dāng)控制器進(jìn)入飽和狀態(tài),通過調(diào)節(jié)可使系統(tǒng)盡快進(jìn)入線性區(qū)并減小了超調(diào)量,得到了更好的實(shí)時(shí)性和快速性,實(shí)現(xiàn)了系統(tǒng)的無(wú)靜差調(diào)節(jié)。
[Abstract]:The mechanical contact commutation of brushless DC motor is easy to produce commutative sparks and mechanical wear, which is not conducive to the long running of the motor. The brushless DC motor compensates for each other's weaknesses, so the mechanical contact commutation is abandoned and the electronic commutation is adopted. It has many advantages, such as high efficiency, clear structure, easy to control and so on. It has been used in many fields such as industrial production, aerospace and automation. So, in order to provide more theoretical support. The research on brushless DC motor has been given more practical significance. This paper designs two control algorithms for the speed controller of brushless DC motor speed regulation control system. The specific work is summarized as follows: first of all. This paper introduces the research background and significance of this topic, discusses and summarizes the brushless DC motor and its control strategy at the present stage and the future development direction. The mathematical model of brushless DC motor is derived by formula under the premise of giving the structure and working principle of brushless DC motor. The simulation model of brushless DC motor speed control system is built by using MATLAB/Simulink, and the correctness of the model is verified by simulation. Based on the dynamic Terminal sliding mode control theory, the sliding mode speed controller is designed based on the mathematical model. The traditional PID speed controller can not satisfy this kind of variable of brushless DC motor well. The dynamic Terminal sliding mode controller is designed for the strong coupling and complex system control precision. The results show that the controller can make the state of the system converge to the expected value in a finite time. The steady-state tracking speed and control accuracy of the system are improved. Finally, in the brushless DC motor direct torque control system. A new type of fuzzy variable structure anti-saturation Anti-windup Pi controller is designed, and the Windup problem in the system speed controller is addressed. The variable structure anti-saturation Anti-windup Pi controller is designed, and the fuzzy theory is used to adjust the controller parameters online. The simulation results show that when the controller enters saturation state. By adjusting, the system can enter the linear region as soon as possible and reduce the overshoot, and get better real-time and rapidness.
【學(xué)位授予單位】:河北工程大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TM33

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 夏長(zhǎng)亮;李志強(qiáng);王明超;劉均華;;基于RBF神經(jīng)網(wǎng)絡(luò)在線辨識(shí)的永磁無(wú)刷直流電機(jī)單神經(jīng)元PID模型參考自適應(yīng)控制[J];電工技術(shù)學(xué)報(bào);2005年11期

2 雷曉r,

本文編號(hào):1454491


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