本文選題：高壓斷路器 + 無刷直流電機�。� 參考：《沈陽工業(yè)大學(xué)》2017年碩士論文

【摘要】：高壓斷路器作為電力系統(tǒng)中重要的開關(guān)設(shè)備,對電力系統(tǒng)的安全運行具有重要意義,近年來,我國智能電網(wǎng)得到了迅速的發(fā)展,電力系統(tǒng)對高壓開關(guān)設(shè)備的智能化提出了迫切要求。為了提高驅(qū)動電機換相的準(zhǔn)確性,提出了以繞組電流為換相依據(jù)的換相方法,根據(jù)永磁無刷直流電機等效數(shù)學(xué)模型,結(jié)合繞組電流值和梯形求積法計算出轉(zhuǎn)子位置,實現(xiàn)以繞組電流為依據(jù)的換相操作,為了提高電機操動機構(gòu)智能化操作水平,以斷路器驅(qū)動電機為控制研究對象,結(jié)合模糊算法和神經(jīng)網(wǎng)絡(luò)算法控制理論,建立模糊神經(jīng)網(wǎng)絡(luò)PID算法實現(xiàn)驅(qū)動電機的速度控制。本文從驅(qū)動電機數(shù)學(xué)模型、控制系統(tǒng)研發(fā)、斷路器操作實驗等方面進(jìn)行研究,主要開展如下研究工作:(1)研究真空斷路器電機操動機構(gòu)分合閘運動特性,結(jié)合驅(qū)動電機電磁、機械耦合場關(guān)系,建立無刷直流電機數(shù)學(xué)模型,計算電機輸出電磁轉(zhuǎn)矩與繞組電壓的關(guān)系,結(jié)合電機動力學(xué)方程,得到電機繞組電壓與動觸頭速度的關(guān)系,實現(xiàn)調(diào)節(jié)驅(qū)動電機輸入電壓來控制觸頭速度的目的。(2)分析模糊控制和神經(jīng)網(wǎng)絡(luò)控制理論,結(jié)合電機傳統(tǒng)PID速度控制方法,提出一種應(yīng)用于斷路器驅(qū)動電機上的模糊神經(jīng)網(wǎng)絡(luò)PID控制算法,以輸入誤差二次方為性能指標(biāo)、梯度下降法為自學(xué)習(xí)方法、利用模糊控制器先驗知識提高神經(jīng)網(wǎng)絡(luò)自學(xué)習(xí)能力。搭建電機控制系統(tǒng)仿真模型,運用計算機語言編寫控制算法S函數(shù)模塊,進(jìn)行傳統(tǒng)PID和模糊神經(jīng)網(wǎng)絡(luò)PID速度仿真實驗,并進(jìn)行實驗數(shù)據(jù)對比分析,驗證模糊神經(jīng)網(wǎng)絡(luò)PID算法的有效性。(3)提出一種以電機繞組電流值為換相依據(jù)的換相方式,根據(jù)永磁無刷直流電機等效數(shù)學(xué)模型,結(jié)合繞組電流值和梯形求積法計算出轉(zhuǎn)子位置,實現(xiàn)以繞組電流為依據(jù)的換相操作。開展斷路器電機操動機構(gòu)聯(lián)機實驗,采用該方法可實現(xiàn)驅(qū)動電機換相操作,得到的電機換向位置與霍爾盤換相位置之間的角度誤差小于1°。(4)針對控制對象非線性、大慣量、瞬時起動、大電流等特點,研制了以數(shù)字信號處理器DSP為控制核心的電機操動機構(gòu)控制系統(tǒng),并給出控制系統(tǒng)主要電路設(shè)計方法和設(shè)計理論,搭建實驗平臺進(jìn)行斷路器驅(qū)動電機速度控制實驗,采用模糊神經(jīng)網(wǎng)絡(luò)PID算法使速度跟蹤最大誤差不超過0.4m/s。
[Abstract]:As an important switchgear in power system, high voltage circuit breaker is of great significance to the safe operation of power system. In recent years, the smart grid of our country has been developed rapidly. The power system has put forward the urgent request for the intelligence of high voltage switchgear. In order to improve the accuracy of commutation of drive motor, a commutation method based on winding current is proposed. According to the equivalent mathematical model of permanent magnet brushless DC motor, the rotor position is calculated by combining winding current value and trapezoidal quadrature method. The commutation operation based on winding current is realized. In order to improve the intelligent operation level of motor operating mechanism, the circuit breaker driven motor is taken as the control object, combined with fuzzy algorithm and neural network algorithm control theory. A fuzzy neural network (PID) algorithm is established to realize the speed control of the drive motor. In this paper, the mathematical model of the drive motor, the research and development of the control system, the operation experiment of the circuit breaker and so on are studied. The main research work is as follows: 1) the characteristics of the operating mechanism of the vacuum circuit breaker are studied, combined with the electromagnetic characteristics of the driving motor. The mathematical model of brushless DC motor is established, the relationship between the output electromagnetic torque and winding voltage is calculated, and the relationship between motor winding voltage and dynamic contact velocity is obtained by combining the dynamic equation of motor. The purpose of adjusting the input voltage of the drive motor to control the contact speed is to analyze the fuzzy control and neural network control theory, combined with the traditional PID speed control method of the motor. A fuzzy neural network (PID) control algorithm applied to circuit breaker driven motor is proposed. Taking the quadratic input error as the performance index and the gradient descent method as the self-learning method, the priori knowledge of the fuzzy controller is used to improve the self-learning ability of the neural network. The simulation model of motor control system is built, and the S function module of control algorithm is compiled by computer language. The speed simulation experiments of traditional PID and fuzzy neural network PID are carried out, and the experimental data are compared and analyzed. To verify the validity of the fuzzy neural network PID algorithm, a commutative method based on the current value of the motor winding is proposed. According to the equivalent mathematical model of the permanent magnet brushless DC motor, the rotor position is calculated by combining the winding current value and the trapezoidal quadrature method. The commutation operation based on winding current is realized. The circuit breaker motor actuator on-line experiment is carried out. The commutation operation of the drive motor can be realized by using this method. The angle error between the commutating position of the motor and the commutating position of the Hall disk is less than 1 擄. 4) the control object is nonlinear and has a large inertia. Based on the characteristics of instantaneous starting and high current, the control system of motor actuator based on digital signal processor (DSP) is developed, and the main circuit design method and design theory of the control system are given. The experiment platform is set up to control the speed of the circuit breaker driven motor. The maximum error of speed tracking is not more than 0.4 m / s by using the fuzzy neural network PID algorithm.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM561.2

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