无速度传感器异步电机矢量控制的研究

发布时间：2018-05-06 22:20

本文选题：无速度传感器 + 异步电机　；参考：《昆明理工大学》2014年硕士论文

【摘要】：随着微电子技术和现代控制理论的不断发展,矢量控制已经成为异步电机速度控制的主流控制方式。传统的矢量控制系统采用速度闭环控制,但由于有速度传感器的存在,这样不仅增加了控制系统的成本,也使系统变得更为复杂,此外,速度传感器的安装易受到工作环境的影响,这一缺点不利于在工业控制中的广泛使用,同时在计算磁链时,由于采用单一的电压模型或电流模型,其计算精度易受变化的转子电阻的影响,进而影响了合成矢量定向的准确性。本文首先介绍了交流调速控制技术的研究现状和多个无速度传感器技术的优缺点,接着概述了异步电机数学模型、坐标变换、矢量控制的基本理论。针对无速度传感器矢量控制系统的关键问题：转速的估计,在前人的研究基础之上,提出了一种新型的基于MRAS无速度传感器转子磁场定向矢量控制方案,该方案综合了MRAS和SVPWM的优点,控制策略更为先进。接着针对本文所设计的控制方案,在Matlab/simulink软件平台上,搭建了该新型无速度传感器矢量控制系统的仿真模型,仿真结果表明,本文设计的新型无速度传感器矢量控制系统不仅能对电机转速实时辨识,且具有更好的动态性能,谐波含量也有所改进,同时也验证了本文所设计的新型控制系统的可行性与实用性。在仿真验证了无速度传感器矢量控制系统方案可行性的情况下,对系统进行了以STM32F103R8为主控芯片的硬件和软件设计,在本文最后,对本次研究工作进行了总结,并针对依然存在的问题提出了改进建议。
[Abstract]:With the development of microelectronic technology and modern control theory, vector control has become the mainstream control method of asynchronous motor speed control. The traditional vector control system adopts speed closed loop control, but because of the existence of speed sensor, it not only increases the cost of the control system, but also makes the system more complex. The installation of speed sensors is easily affected by the working environment, which is not conducive to wide use in industrial control. At the same time, when calculating flux chains, a single voltage model or current model is used. The accuracy of the synthetic vector orientation is affected by the variable rotor resistance. This paper first introduces the research status of AC speed regulation control technology and the advantages and disadvantages of several speed sensorless technologies, and then summarizes the basic theory of asynchronous motor mathematical model, coordinate transformation and vector control. Aiming at the key problem of speed sensorless vector control system: speed estimation, a novel speed sensorless rotor flux oriented vector control scheme based on MRAS is proposed. The scheme combines the advantages of MRAS and SVPWM, and the control strategy is more advanced. Then, the simulation model of the new speed sensorless vector control system is built on the Matlab/simulink software platform, and the simulation results show that, The new speed sensorless vector control system designed in this paper not only can identify the motor speed in real time, but also has better dynamic performance and improved harmonic content. It also verifies the feasibility and practicability of the new control system designed in this paper. In the case of simulation to verify the feasibility of speed sensorless vector control system, the hardware and software design of the system using STM32F103R8 as the main control chip is carried out. At the end of this paper, the research work is summarized. Suggestions for improvement are put forward in view of the existing problems.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM343

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