發(fā)布時(shí)間：2018-07-17 18:49

【摘要】：開關(guān)磁阻電機(jī)調(diào)速（Switched Reluctance Motor Drive，SRD）系統(tǒng)，綜合了電機(jī)理論、電力電子技術(shù)與自動(dòng)控制技術(shù)，特點(diǎn)為調(diào)速性能優(yōu)異、控制靈活、結(jié)構(gòu)簡(jiǎn)單等，發(fā)展為當(dāng)前電氣傳動(dòng)領(lǐng)域的熱門課題之一。但是開關(guān)磁阻電機(jī)的雙凸極結(jié)構(gòu)和開關(guān)式電源導(dǎo)致其運(yùn)行時(shí)轉(zhuǎn)矩脈動(dòng)較大，，同時(shí)因?yàn)樗鼑?yán)重的非線性特點(diǎn)，不同轉(zhuǎn)速下控制參數(shù)需要實(shí)時(shí)更新，造成它的控制策略比較復(fù)雜。本文針對(duì)開關(guān)磁阻電機(jī)調(diào)速系統(tǒng)新型控制策略展開研究，利用新型控制策略設(shè)計(jì)速度控制器，實(shí)時(shí)更新控制參數(shù)，旨在降低開關(guān)磁阻電機(jī)轉(zhuǎn)矩脈動(dòng)，提高調(diào)速性能。 文中首先介紹開關(guān)磁阻電機(jī)調(diào)速的系統(tǒng)研究現(xiàn)狀和本課題的意義，綜述了當(dāng)前開關(guān)磁阻電機(jī)（Switched Reluctance Motor，SR電機(jī)或SRM）轉(zhuǎn)矩脈動(dòng)抑制的方法，接著對(duì)開關(guān)磁阻電機(jī)的基本結(jié)構(gòu)和工作原理進(jìn)行簡(jiǎn)單闡述。然后建立SR電機(jī)線性、非線性數(shù)學(xué)模型，推導(dǎo)調(diào)速系統(tǒng)在小信號(hào)模型下的傳遞函數(shù)，并以小信號(hào)模型分析SR電機(jī)的基本控制方式。 針對(duì)開關(guān)磁阻電機(jī)的非線性與強(qiáng)耦合性，本文首先在電壓PWM控制方式下，采用模糊自適應(yīng)控制算法，設(shè)計(jì)關(guān)磁阻電機(jī)調(diào)速系統(tǒng)的速度控制器，在線更新模糊控制器的自適應(yīng)參數(shù)，提高傳統(tǒng)模糊控制器的精度和自適應(yīng)效果，從而提高轉(zhuǎn)速響應(yīng)的快速性和抗干擾性，并降低SR電機(jī)的轉(zhuǎn)矩脈動(dòng)。接著，提出將灰色預(yù)測(cè)控制算法應(yīng)用于開關(guān)磁阻電機(jī)調(diào)速系統(tǒng)的速度控制器，利用灰色預(yù)測(cè)理論對(duì)調(diào)速系統(tǒng)不確定部分建立灰色預(yù)測(cè)模型，估計(jì)出系統(tǒng)不確定性參數(shù)，在速度環(huán)進(jìn)行預(yù)估補(bǔ)償。從而系統(tǒng)的轉(zhuǎn)速響應(yīng)及誤差變化更加平滑，減小震蕩，抑制轉(zhuǎn)矩脈動(dòng)。 為驗(yàn)證兩種新型控制策略的可行性和效果，本文基于MATLAB/SIMULINK仿真平臺(tái)對(duì)所設(shè)計(jì)的雙閉環(huán)控制系統(tǒng)進(jìn)行了仿真研究，將兩種控制策略下的結(jié)果分別與傳統(tǒng)模糊控制策略的仿真結(jié)果進(jìn)行對(duì)比，結(jié)果證實(shí)SR電機(jī)應(yīng)用兩種新型控制策略后調(diào)速性能更加優(yōu)秀，減小轉(zhuǎn)矩脈動(dòng)的效果很明顯，在負(fù)載擾動(dòng)時(shí)轉(zhuǎn)矩波動(dòng)也在合理范圍，具體各項(xiàng)性能指標(biāo)來(lái)對(duì)比兩種新型控制策略各有所長(zhǎng)。
[Abstract]:The switched reluctance Motor Drive (SRD) system integrates motor theory, power electronics technology and automatic control technology. It is characterized by excellent speed regulation performance, flexible control, simple structure and so on. It has become one of the hot topics in the field of electrical transmission. However, the double salient structure of switched reluctance motor and switching power supply cause the torque ripple of switched reluctance motor to be larger when it is running. Because of its serious nonlinear characteristics, the control parameters need to be updated in real time at different rotational speeds, which makes its control strategy more complex. In this paper, the new control strategy of switched reluctance motor (SRM) speed regulation system is studied. The speed controller is designed by using the new control strategy, and the control parameters are updated in real time in order to reduce the torque ripple of SRM and improve the speed regulation performance. This paper first introduces the research status of switched reluctance motor (SRM) speed regulation system and the significance of this subject, and summarizes the current methods of torque ripple suppression for switched reluctance motor (SRM) SR motor or SRM (switched reluctance motor). Then the basic structure and working principle of switched reluctance motor are briefly described. Then the linear and nonlinear mathematical models of SR motor are established and the transfer function of the speed control system under the small signal model is derived. The basic control mode of SR motor is analyzed by the small signal model. Aiming at the nonlinear and strong coupling of switched reluctance motor, the speed controller of switched reluctance motor speed control system is designed by using fuzzy adaptive control algorithm under voltage PWM control mode. The adaptive parameters of the fuzzy controller are updated online to improve the precision and the adaptive effect of the traditional fuzzy controller, so as to improve the speed and anti-interference of the speed response, and to reduce the torque ripple of the SR motor. Then, the grey predictive control algorithm is applied to the speed controller of switched reluctance motor speed control system. The grey prediction model is established for the uncertain part of the speed regulation system by using the grey prediction theory, and the uncertain parameters of the system are estimated. The predictive compensation is carried out in the velocity loop. As a result, the system speed response and error change are smoother, the vibration is reduced and torque ripple is suppressed. In order to verify the feasibility and effect of the two new control strategies, this paper simulates the design of double closed loop control system based on MATLAB / Simulink simulation platform. The simulation results of the two control strategies are compared with those of the traditional fuzzy control strategy. The results show that the speed regulation performance of SR motor with two new control strategies is better, and the effect of reducing torque ripple is obvious. The torque ripple is also in a reasonable range when the load is disturbed.
【學(xué)位授予單位】：江南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM352

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