本文關(guān)鍵詞：電動(dòng)汽車開關(guān)磁阻電機(jī)驅(qū)動(dòng)控制系統(tǒng)研究　出處：《哈爾濱工業(yè)大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 電動(dòng)汽車 開關(guān)磁阻電機(jī) 自適應(yīng)反步法 轉(zhuǎn)矩優(yōu)化控制 DSP控制器

【摘要】：電動(dòng)汽車作為智能電網(wǎng)的重要組成環(huán)節(jié),也代表著未來(lái)汽車行業(yè)的研究方向,其電機(jī)控制技術(shù)作為電動(dòng)汽車的三大關(guān)鍵技術(shù)之一,越來(lái)越受到重視。電機(jī)的驅(qū)動(dòng)控制效果直接影響電動(dòng)汽車的行駛性能。開關(guān)磁阻電機(jī)因?yàn)榫哂械统杀尽⒏咝屎透呖煽啃缘葍?yōu)點(diǎn),是一種極有潛力的電動(dòng)汽車驅(qū)動(dòng)系統(tǒng)。本文針對(duì)電動(dòng)汽車用開關(guān)磁阻電機(jī)驅(qū)動(dòng)控制系統(tǒng),以提升電機(jī)調(diào)速性能和抑制轉(zhuǎn)矩脈動(dòng)作為主要控制目標(biāo),在控制策略和軟硬件設(shè)計(jì)等方面作深入的研究和開發(fā)。由于結(jié)構(gòu)特點(diǎn),開關(guān)磁阻電機(jī)本身是一個(gè)高階、強(qiáng)耦合、非線性的多變量復(fù)雜系統(tǒng),且有較強(qiáng)的輸出轉(zhuǎn)矩脈動(dòng)。開關(guān)磁阻電機(jī)調(diào)速系統(tǒng)的控制方法多為固定開通關(guān)斷角的典型線性控制,將電機(jī)簡(jiǎn)化為線性系統(tǒng)來(lái)設(shè)計(jì)控制器。這種設(shè)計(jì)方法忽略了開關(guān)磁阻電機(jī)的非線性特性、參數(shù)的不確定性以及負(fù)載轉(zhuǎn)矩的未知干擾,導(dǎo)致系統(tǒng)的魯棒性和穩(wěn)定性差。固定開通關(guān)斷角的控制方式也難以達(dá)到電動(dòng)汽車驅(qū)動(dòng)系統(tǒng)的性能需求。本文針對(duì)開關(guān)磁阻電機(jī)的非線性磁鏈解析模型設(shè)計(jì)了自適應(yīng)反步法非線性速度控制器,并提出了轉(zhuǎn)矩優(yōu)化控制策略改善電機(jī)的效率和轉(zhuǎn)矩脈動(dòng)問(wèn)題。不同于線性簡(jiǎn)化模型,本文基于開關(guān)磁阻電機(jī)實(shí)驗(yàn)樣機(jī)的有限元分析磁鏈數(shù)據(jù),利用Levenberg-Marquardt算法辨識(shí)建立了樣機(jī)的非線性磁鏈解析模型。以轉(zhuǎn)速跟蹤作為控制目標(biāo),考慮未知負(fù)載轉(zhuǎn)矩的不確定干擾以及參數(shù)的不確定性,基于Lyapunov理論設(shè)計(jì)了自適應(yīng)反步法速度控制器及參數(shù)自適應(yīng)更新法則。并研究開通關(guān)斷角度對(duì)相電流波形、系統(tǒng)效率和轉(zhuǎn)矩脈動(dòng)的影響,提出了一種基于角度自調(diào)節(jié)策略的轉(zhuǎn)矩優(yōu)化控制器。在Matlab軟件中建立了開關(guān)磁阻電機(jī)整體驅(qū)動(dòng)控制系統(tǒng)模型,就以上研究進(jìn)行了仿真論證。仿真表明,本文所設(shè)計(jì)的非線性速度控制律具有很好的調(diào)速性能,且轉(zhuǎn)速和轉(zhuǎn)矩針對(duì)不確定干擾具有更強(qiáng)的魯棒性和穩(wěn)定性,轉(zhuǎn)矩優(yōu)化控制器能夠顯著提高電機(jī)效率并減小轉(zhuǎn)矩波動(dòng)。針對(duì)實(shí)驗(yàn)樣機(jī)設(shè)計(jì)了開關(guān)磁阻電機(jī)驅(qū)動(dòng)控制系統(tǒng)的各軟硬件功能模塊,選用DSP TMS320F2812作為數(shù)字控制器,搭建了驅(qū)動(dòng)控制系統(tǒng)實(shí)驗(yàn)平臺(tái),通過(guò)相關(guān)實(shí)驗(yàn)進(jìn)一步驗(yàn)證了提出的轉(zhuǎn)矩優(yōu)化控制器的可行性。
[Abstract]:As an important part of smart grid, electric vehicle also represents the research direction of the future automotive industry. Motor control technology, as one of the three key technologies of electric vehicle, is attracting more and more attention. The driving control effect of the motor directly affects the driving performance of the electric vehicle. Switched reluctance motor (SRM) is a potential electric vehicle driving system because of its advantages of low cost, high efficiency and high reliability. In this paper, aiming at the drive control system of switched reluctance motor for electric vehicle, the speed control performance and torque ripple of the motor are taken as the main control objectives, and the control strategy and software and hardware design are deeply researched and developed. Because of its structural characteristics, switched reluctance motor is a multivariable complex system with high order, strong coupling and nonlinear, and has strong output torque ripple. The control methods of the switched reluctance motor speed control system are mostly the typical linear control of the fixed turn off angle, and the motor is simplified as a linear system to design the controller. This design method ignores the nonlinear characteristics of switched reluctance motor, the uncertainty of parameters and the unknown disturbance of load torque, which results in poor robustness and stability of the system. The control mode of the fixed turn off angle is also difficult to meet the performance requirements of the electric vehicle drive system. In this paper, an adaptive backstepping nonlinear speed controller is designed for the switched reluctance motor's nonlinear flux analytical model, and a torque optimization control strategy is proposed to improve the efficiency and torque ripple of the motor. Unlike linear simplified models, based on the flux linkage data of switched reluctance motor prototype, a nonlinear flux linkage analytical model of the prototype is established by using Levenberg-Marquardt algorithm. Taking speed tracking as control objective, considering uncertain disturbances and uncertain parameters of unknown load torque, an adaptive backstepping speed controller and adaptive updating algorithm of parameters are designed based on Lyapunov theory. The influence of turn off angle on phase current waveform, system efficiency and torque ripple is studied. A torque optimization controller based on angle self adjustment strategy is proposed. The whole drive control system model of switched reluctance motor is set up in Matlab software, and the simulation is carried out on the above research. Simulation results show that the nonlinear speed control law designed in this paper has good speed regulation performance, and speed and torque are more robust and stable for uncertain disturbances. Torque optimization controller can significantly improve motor efficiency and reduce torque ripple. According to the experimental prototype design of the software and hardware function module of switch reluctance motor drive control system, using DSP TMS320F2812 as the digital controller, built a drive control system experimental platform, through the relevant experiments to further verify the feasibility of the proposed optimization of torque controller.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM352;U469.72

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相關(guān)期刊論文 前1條

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本文編號(hào)：1344174