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题名	异步电机无速度传感器控制理论和应用研究; 异步电机无速度传感器控制理论和应用研究
作者	1韩利,电工研究所
学位类别	博士
答辩日期	2007-06-30
授予单位	中国科学院电工研究所
导师	1温旭辉,电工研究所
关键词	交流异步电机 无速度传感器 Luenberger状态观测器 模型参考自适应系统 半实物实时仿真 电压重构 矢量控制 Induction machine, Sensorless, Luenberger observer, Model reference adaptive system, Hardware in loop simulation, Voltage reconstruction, Vector control .
其他题名	异步电机无速度传感器控制理论和应用研究
中文摘要	交流异步电机具有结构简单坚固、造价低廉、工作可靠、调速范围大、维护方便等突出优点，随着微处理器和电力电子技术的发展，交流异步电机在电气传动中得到越来越多的应用。无速度传感器的交流异步电机控制系统免除了速度传感器带来的安装、连接、调试等诸多问题，提高了系统可靠性。从20世纪70～80年代以来，交流异步电机无速度传感器驱动控制系统一直是国际电气传动界普遍关心的一项研究课题和开发项目。本文对交流异步电机的无速度传感器矢量控制的理论、技术、实验和应用进行了研究。 本文提出了基于Luenberger状态观测器的一种新型的无速度传感器控制方法。构建了变系数反馈矩阵的Luenberger状态观测器；应用模型参考自适应控制理论，根据Lyapunov稳定性定理推导出基于滤波器方式的速度辨识自适应机制。仿真结果表明了本文所提出无速度传感器控制方法的正确性。 定子电压重构是无速度传感器控制实现必不可少的共性关键技术，本文提出并实现了基于PWM占空比硬件测量和管压降软件补偿的定子电压重构技术，实验验证了所提出电压重构方法的有效性。 采用电机控制领域先进的32位高速DSP-TMS320F2812，独立开发了一套数字化交流电机控制平台。该平台硬件系统具有功能强大和扩展容易等优点，软件平台采用面向对象的编程思想，分层次模块化实现控制策略，具有可重用性强等优点。基于所研发的数字化交流电机控制平台，实现了异步电机控制的半实物实时仿真技术。 设计搭建了交流异步电机无速度传感器控制实验平台，实现了转子磁场定向的无速度传感器控制。实验结果表明，本文提出的无速度传感器控制算法具有良好的工作性能，不但可以工作于速度阶跃动态运行条件下以及低速和零速等运行条件下，而且对定子电阻和转子电阻变化具有鲁棒性。最后，本文的无速度传感器控制算法以及软硬件控制系统在国家“863”计划项目/北京科技奥运项目—“纯电动大客车电机及控制系统”上进行了应用研究，实验结果进一步表明了本文无速度传感器控制算法的可行性以及数字化控制平台的可靠性。 The induction machine has the advantage of simplicity, ruggedization, low cost, reliability, wide speed range, maintainability and so on. With the progress of microprocessor and power electronics technology, induction machine is the most widely used electrical motor in industrial applications. A sensorless control system where the speed is estimated instead of being measured would essentially reduce the cost and the complexity of the drive system. For last three decades, the research of sensorless control of induction machines has been quite hot and speed estimation is the focus of many researchers. In this dissertation, the sensorless vector control of an induction motor is comprehensively studied from the aspects of theories, techniques, experiments and application. A new speed estimation adaptive scheme in sensorless induction motor drives is proposed. The method is based on the adaptive control theory of model reference adaptive system approach with Luenberger observer. The stability of the Luenberger observer in sensorless vector control of induction motors is proved by the Lyapunov's theorem. The method has been compared with the classical adaptive scheme based on the integration algorithm. And in fact, the proposed method is a generalization of the integration adaptive algorithm. The simulations under zero load, rated load and step load condition have verified the feasibility of the proposed algorithm in a sensorless vector control system with Luenberger observer. Stator voltage information is necessary in sensorless control of induction machines. A new method to reconstruct stator voltage is proposed. The method is based on the hardware measurement of PWM duty cycle and software compensation of voltage drop of power devices. The proposed stator voltage reconstruction method is verified by experimental results. AC drives based on full digital control have reached the status of a mature technology. In this dissertation, a new set of control system based on the TMS320F2812 DSP for sensorless vector control of induction machines is researched and developed. The hardware has the advantages of flexibility and powerful function. The software is built with modular approach by using object oriented programming technique and hence easy to be maintained and updated. In addition, an implementation of hardware in loop (HIL) simulation for sensorless vector control of induction motors is researched and used on the developed control platform. An experimental platform is designed and built to verified the validity of the proposed speed estimation method and sensorless control of an induction machine. The experimental results show that the proposed algorithm can obtain a good performance of sensorless control of an induction motor in both dynamic response and low speed (even zero speed) operation. Also, the robustness of the sensorless drive with stator and rotor resistance variations is tested by experiments. Finally，The proposed sensorlss control algorithm and the developed control system are applied in the national 863 plan project/Beijing science and technology Olympic spore projct. The application experiments test the sensorless control algorithm and system further more.
语种	中文
公开日期	2010-10-18
页码	138
分类号	TM3;TM5
内容类型	学位论文
源URL	[http://ir.iee.ac.cn/handle/311042/6730]
专题	电工研究所_其他部门_其他部门_博士学位论文
推荐引用方式 GB/T 7714	1韩利,电工研究所. 异步电机无速度传感器控制理论和应用研究, 异步电机无速度传感器控制理论和应用研究[D]. 中国科学院电工研究所. 2007.

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