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基于三相异步电动机矢量控制系统优化控制算法的研究+源代码

时间:2019-04-15 19:56来源:毕业论文
采用MATLAB/Simulink构建基于SVPWM按转子磁场定向矢量控制系统的仿真模型。变速和变负载状态时,对比PI控制器优化前后的仿真结果后发现,采用粒子群算法优化的矢量控制系统,性能得到

摘要节能减排越来越成为世界各个国家的共识,直流调速由于自身的局限性,无法应对日益复杂多变的工况,在此潮流中逐渐被交流调速所取代。近年来,随着变频调速时代的到来,交流调速系统空前发展,矢量控制也被广泛运用。为进一步改善性能指标,本文将优化算法应用于三相异步电机矢量控制系统PI调节器的参数优化。34564
首先,阐述交流调速技术的研究方向,优化算法概况以及在交流调速上的运用。经过讨论不同矢量控制方案优缺点,选择按转子磁场定向的矢量控制方案。在介绍矢量控制系统基本原理基础上,给出异步电机不同状态下的数学模型以及坐标变换,详细解释了按转子磁场定向矢量控制系统的解耦过程,分析并构建了转子磁链观测器。对SVPWM控制技术的基本原理进行详细的分析讲解,实现SVPWM算法。采用PI控制方法,设计系统中的磁通、转矩及转速调节器。介绍了遗传算法、粒子群PSO算法的基本思路,并将其应用到上述PI调节器的参数优化,给出了优化过程。
硬件设计时,选择TI公司的TMS320F28335型DSP为控制平台,主要包括主功率电路,控制电路,检测电路,保护电路,电源电路等。软件设计时,采用模块化设计,主要包括主程序和SVPWM中断服务程序。
接着,采用MATLAB/Simulink构建基于SVPWM按转子磁场定向矢量控制系统的仿真模型。变速和变负载状态时,对比PI控制器优化前后的仿真结果后发现,采用粒子群算法优化的矢量控制系统,性能得到明显的提升。
最后,总结了全文的内容,结合研究过程发现的问题给出了思考和展望。
毕业论文关键词:   三相异步电机  矢量控制  PID控制  粒子群算法
Abstract Energy conservation has increasingly become the consensus of all
countries in the world, DC due to their own limitations, can not cope with the increasingly complex and changing conditions, this trend is gradually being replaced by AC variable speed. In recent years, with the advent of the era of Frequency Control, AC drive system ever developed, vector control has also been widely used. To further improve performance, this paper optimization algorithm is applied to a three-phase induction motor vector control system PI regulator parameter optimization.
Firstly, the exchange control technology research, the optimization algorithms used in the exchange profile and the governor is elaborated. after discussing the advantages and disadvantages of different vector control, vector control program by rotor flux orientation is selected. In introducing the basic principles of vector control systems, the mathematical model and a coordinate transformation induction motors in different states, a detailed explanation of the rotor flux oriented vector control system decoupling process, analyze and construct the rotor flux observer. The basic principle of SVPWM control technology to conduct a detailed analysis to explain, achieve SVPWM algorithm. Using PI control method design system flux, torque and speed regulator. The basic idea of genetic algorithms, particle swarm PSO algorithm and its parameters are applied to said PI controller optimization, given the optimization process.
Hardware design, select TMS320F28335 type TI's DSP control platform, including the main power circuit, control circuits, test circuits, protection circuits, power circuits. Software design, modular design includes the main program and SVPWM interrupt service routine.
Then, using MATLAB / Simulink build SVPWM rotor flux oriented vector control system simulation model. In variable speed and variable load conditions, after comparing the simulation results before and after the discovery PI controller optimization using particle swarm optimization of vector control system, the performance has been significantly improved. 基于三相异步电动机矢量控制系统优化控制算法的研究+源代码:http://www.youerw.com/zidonghua/lunwen_32090.html
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