变频调速系统效率优化控制

发布时间：2018-03-25 22:46

本文选题：异步电动机　切入点：矢量控制　出处：《济南大学》2017年硕士论文

【摘要】：异步电动机在工业、交通运输业等领域是主要动力设备。社会快速发展能源和环境问题备受关注,变频调速技术可以使电动机节能运行,起到节约能源的作用。电动机通常都是在额定恒励磁方式下运行,当电动机负载较轻时额定恒磁链控制会使异步电动机效率降低。所以研究提高异步电动机变频调速系统运行效率具有重要的理论与实际应用意义。本文以异步电动机变频调速矢量控制系统为对象,研究其效率优化控制方法,提高运行效率。主要完成以下工作:在研究异步电动机的数学模型基础上,建立考虑定子铁损的异步电动机动态数学模型,对相对应的矢量控制系统进行了仿真建模,研究变频调速矢量控制系统稳态性能和动态性能的跟随性、抗扰性。分析异步电动机效率优化原理,对目前常采用的几种效率优化控制策略进行了研讨,包括:基于损耗模型法效率优化控制策略、基于最小定子电流效率优化控制策略和基于最小输入功率在线搜索效率优化控制策略。其中,对基于损耗模型法效率优化控制策略进行了详细的仿真实验研究。建立损耗模型,推导出可以实现效率最优的转子磁链,验证系统在最优转子磁链状态下运行时效率优化的良好效果。研究了基于模糊搜索法的效率优化控制策略,即应用模糊控制技术通过搜索最优转子磁链给定值,使电动机的输入功率最小,达到效率最优。设计了模糊控制器,对控制系统进行了仿真建模,进行了仿真实验研究。实验结果表明模糊搜索法寻优结果准确,能明显降低输入功率,提高系统运行效率,实现电动机节能运行。提出一种损耗模型法和模糊搜索法混合效率优化控制策略。实现了损耗模型法和模糊搜索法的优缺点互补,并进行仿真实验。实验结果表明新的控制策略使寻优结果更加准确、寻优时间变短。因为DSP可以方便快速实现复杂控制算法,所以具有复杂控制算法的矢量控制系统通常采用DSP设计实现。针对这个问题,本论文阐述了借助RTW工具把效率优化控制算法的Simulink仿真模型转化成C代码的实现方法,使所提出的效率优化算法可应用到DSP矢量控制系统中。
[Abstract]:Asynchronous motor in industrial, transportation and other fields is the main power equipment. The rapid development of social energy and environmental issues of concern, VVVF technology can make the energy saving operation of the motor, play a role in energy conservation. The motor is usually run at rated constant excitation mode, when the motor light load constant rated flux control will the efficiency of the asynchronous motor is reduced. So research has important theoretical and practical significance to improve the efficiency of the induction motor control system. In this paper, motor frequency vector control system for asynchronous object, studies the efficiency optimization control method, improve the operation efficiency. Mainly completes the following work: in the mathematical model of asynchronous motor based on the establishment of the dynamic mathematical model of induction motor considering iron loss of stator, the corresponding vector control system simulation modeling Study on control system, follow the steady-state performance and dynamic performance of frequency control vector, immunity analysis. The principle of efficiency optimization of induction motor, including the commonly used several kinds of efficiency optimization control strategy discussed: loss model method of efficiency optimization control strategy based on control strategy and online search efficiency optimization control minimum input power efficiency optimization strategy based on minimum stator current. Based on which, the control strategy optimization method based on efficiency loss model simulation. With the establishment of the loss model, the rotor flux is derived can achieve optimal efficiency, good results verify the system running in the optimal rotor flux condition. The efficiency optimization of efficiency optimization control strategy the fuzzy search method based on the application of fuzzy control technology by searching the optimal rotor flux reference value, the input power of the motor Minimum rate, achieve optimal efficiency. The design of fuzzy controller, the control system of simulation modeling, simulation experiments are done. The experimental results show that the fuzzy optimization search method is accurate, can significantly reduce the input power, and improve the system efficiency, the realization of motor operation. Put forward a kind of energy loss model method and fuzzy search control efficiency optimization method of mixed strategy. The loss model and the complementary advantages and disadvantages of the fuzzy search method, and carries on the simulation experiment. The experimental results show that the new control strategy to make search results more accurate, the search time is shorter. Because DSP can easily and quickly realize the complex control algorithm, so the vector control algorithm of complex control system usually designed with DSP. To solve this problem, this paper describes the efficiency optimization by means of RTW simulation model of Simulink control algorithm into C code. In the present method, the proposed efficiency optimization algorithm can be applied to the DSP vector control system.

【学位授予单位】：济南大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM343;TP273

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