开关磁阻电机调速系统新型控制策略研究
发布时间：2018-07-17 18:49
【摘要】：开关磁阻电机调速（Switched Reluctance Motor Drive，SRD）系统，综合了电机理论、电力电子技术与自动控制技术，特点为调速性能优异、控制灵活、结构简单等，发展为当前电气传动领域的热门课题之一。但是开关磁阻电机的双凸极结构和开关式电源导致其运行时转矩脉动较大，，同时因为它严重的非线性特点，不同转速下控制参数需要实时更新，造成它的控制策略比较复杂。本文针对开关磁阻电机调速系统新型控制策略展开研究，利用新型控制策略设计速度控制器，实时更新控制参数，旨在降低开关磁阻电机转矩脉动，提高调速性能。 文中首先介绍开关磁阻电机调速的系统研究现状和本课题的意义，综述了当前开关磁阻电机（Switched Reluctance Motor，SR电机或SRM）转矩脉动抑制的方法，接着对开关磁阻电机的基本结构和工作原理进行简单阐述。然后建立SR电机线性、非线性数学模型，推导调速系统在小信号模型下的传递函数，并以小信号模型分析SR电机的基本控制方式。 针对开关磁阻电机的非线性与强耦合性，本文首先在电压PWM控制方式下，采用模糊自适应控制算法，设计关磁阻电机调速系统的速度控制器，在线更新模糊控制器的自适应参数，提高传统模糊控制器的精度和自适应效果，从而提高转速响应的快速性和抗干扰性，并降低SR电机的转矩脉动。接着，提出将灰色预测控制算法应用于开关磁阻电机调速系统的速度控制器，利用灰色预测理论对调速系统不确定部分建立灰色预测模型，估计出系统不确定性参数，在速度环进行预估补偿。从而系统的转速响应及误差变化更加平滑，减小震荡，抑制转矩脉动。 为验证两种新型控制策略的可行性和效果，本文基于MATLAB/SIMULINK仿真平台对所设计的双闭环控制系统进行了仿真研究，将两种控制策略下的结果分别与传统模糊控制策略的仿真结果进行对比，结果证实SR电机应用两种新型控制策略后调速性能更加优秀，减小转矩脉动的效果很明显，在负载扰动时转矩波动也在合理范围，具体各项性能指标来对比两种新型控制策略各有所长。
[Abstract]:The switched reluctance Motor Drive (SRD) system integrates motor theory, power electronics technology and automatic control technology. It is characterized by excellent speed regulation performance, flexible control, simple structure and so on. It has become one of the hot topics in the field of electrical transmission. However, the double salient structure of switched reluctance motor and switching power supply cause the torque ripple of switched reluctance motor to be larger when it is running. Because of its serious nonlinear characteristics, the control parameters need to be updated in real time at different rotational speeds, which makes its control strategy more complex. In this paper, the new control strategy of switched reluctance motor (SRM) speed regulation system is studied. The speed controller is designed by using the new control strategy, and the control parameters are updated in real time in order to reduce the torque ripple of SRM and improve the speed regulation performance. This paper first introduces the research status of switched reluctance motor (SRM) speed regulation system and the significance of this subject, and summarizes the current methods of torque ripple suppression for switched reluctance motor (SRM) SR motor or SRM (switched reluctance motor). Then the basic structure and working principle of switched reluctance motor are briefly described. Then the linear and nonlinear mathematical models of SR motor are established and the transfer function of the speed control system under the small signal model is derived. The basic control mode of SR motor is analyzed by the small signal model. Aiming at the nonlinear and strong coupling of switched reluctance motor, the speed controller of switched reluctance motor speed control system is designed by using fuzzy adaptive control algorithm under voltage PWM control mode. The adaptive parameters of the fuzzy controller are updated online to improve the precision and the adaptive effect of the traditional fuzzy controller, so as to improve the speed and anti-interference of the speed response, and to reduce the torque ripple of the SR motor. Then, the grey predictive control algorithm is applied to the speed controller of switched reluctance motor speed control system. The grey prediction model is established for the uncertain part of the speed regulation system by using the grey prediction theory, and the uncertain parameters of the system are estimated. The predictive compensation is carried out in the velocity loop. As a result, the system speed response and error change are smoother, the vibration is reduced and torque ripple is suppressed. In order to verify the feasibility and effect of the two new control strategies, this paper simulates the design of double closed loop control system based on MATLAB / Simulink simulation platform. The simulation results of the two control strategies are compared with those of the traditional fuzzy control strategy. The results show that the speed regulation performance of SR motor with two new control strategies is better, and the effect of reducing torque ripple is obvious. The torque ripple is also in a reasonable range when the load is disturbed.
【学位授予单位】：江南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM352
本文编号：2130600
[Abstract]:The switched reluctance Motor Drive (SRD) system integrates motor theory, power electronics technology and automatic control technology. It is characterized by excellent speed regulation performance, flexible control, simple structure and so on. It has become one of the hot topics in the field of electrical transmission. However, the double salient structure of switched reluctance motor and switching power supply cause the torque ripple of switched reluctance motor to be larger when it is running. Because of its serious nonlinear characteristics, the control parameters need to be updated in real time at different rotational speeds, which makes its control strategy more complex. In this paper, the new control strategy of switched reluctance motor (SRM) speed regulation system is studied. The speed controller is designed by using the new control strategy, and the control parameters are updated in real time in order to reduce the torque ripple of SRM and improve the speed regulation performance. This paper first introduces the research status of switched reluctance motor (SRM) speed regulation system and the significance of this subject, and summarizes the current methods of torque ripple suppression for switched reluctance motor (SRM) SR motor or SRM (switched reluctance motor). Then the basic structure and working principle of switched reluctance motor are briefly described. Then the linear and nonlinear mathematical models of SR motor are established and the transfer function of the speed control system under the small signal model is derived. The basic control mode of SR motor is analyzed by the small signal model. Aiming at the nonlinear and strong coupling of switched reluctance motor, the speed controller of switched reluctance motor speed control system is designed by using fuzzy adaptive control algorithm under voltage PWM control mode. The adaptive parameters of the fuzzy controller are updated online to improve the precision and the adaptive effect of the traditional fuzzy controller, so as to improve the speed and anti-interference of the speed response, and to reduce the torque ripple of the SR motor. Then, the grey predictive control algorithm is applied to the speed controller of switched reluctance motor speed control system. The grey prediction model is established for the uncertain part of the speed regulation system by using the grey prediction theory, and the uncertain parameters of the system are estimated. The predictive compensation is carried out in the velocity loop. As a result, the system speed response and error change are smoother, the vibration is reduced and torque ripple is suppressed. In order to verify the feasibility and effect of the two new control strategies, this paper simulates the design of double closed loop control system based on MATLAB / Simulink simulation platform. The simulation results of the two control strategies are compared with those of the traditional fuzzy control strategy. The results show that the speed regulation performance of SR motor with two new control strategies is better, and the effect of reducing torque ripple is obvious. The torque ripple is also in a reasonable range when the load is disturbed.
【学位授予单位】：江南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM352
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