基于MRAS的永磁同步电机参数在线辨识的研究
发布时间：2018-09-14 09:20
【摘要】：随着现代工业的飞跃式发展,在高精度的工业控制设备中相当多的采用了永磁同步电机(PMSM)以取代宽调速的直流伺服电机,尤其是在新兴能源领域,如电动汽车等行业,永磁同步电机的应用十分广泛。在永磁同步电机伺服控制系统中,电机机械参数会随着工况的变化而变化,这对系统的控制性能造成了不利的影响。因此,PMSM机械参数的在线辨识成为高精度控制的要求,并且,传统的调节器因不能随工况的改变进行参数自校正,从而使系统的稳定性和抗扰性变差,因此调节器的自适应能力也是伺服控制系统的发展要求。模型参考自适应(MRAS)作为自适应方法的一个重要分支,在工业上的应用逐渐成熟。目前,国内外都在积极研究将模型参考自适应方法引入到电机控制中。模型参考自适应的原理简单,辨识精度高,易于实现。本文在充分研究模型参考自适应理论的基础上采用离散模型参考控制方案,基于MRAS展开对永磁同步电机参数在线辨识与转速自适应控制理论的研究。主要研究内容如下:1、基于TI公司控制型芯片TMS320F28335设计PMSM矢量控制系统,分别建立了电流环、速度环的控制模型,完成两环控制器参数的设计。在系统硬件电路和软件程序的基础上实现电机参数与转速的在线辨识。2、通过对模型参考自适应控制系统的研究,采用popov超稳定性理论设计电机的参数在线辨识规律,并在矢量控制仿真模型的基础上设计了电机参数的在线辨识仿真模型。3、对比研究基于MRAS的三相PMSM速度自适应控制系统。提出一种基于无位置传感器的速度自适应调节器设计方法,克服传统位置传感器给控制系统带来的不利影响。4、搭建系统控制平台,设计系统硬件电路与软件程序,为系统实验提供良好的环境。5、论文通过Matlab/Simulink仿真及PMSM闭环矢量控制系统实验,对永磁同步电机控制系统进行了建模和仿真,充分证明了本文所提出的参数在线辨识算法能够快速准确的辨识出电机机械参数及转速,为电机控制系统性能的进一步提高提供了必要条件,具有十分重要的意义。
[Abstract]:With the rapid development of modern industry, permanent magnet synchronous motor (PMSM) (PMSM) is widely used in high-precision industrial control equipment to replace the wide-speed DC servomotor, especially in the field of emerging energy, such as electric vehicles, etc. Permanent magnet synchronous motor (PMSM) is widely used. In the servo control system of PMSM, the mechanical parameters of PMSM will change with the change of working conditions, which has a negative effect on the control performance of PMSM. Therefore, the on-line identification of mechanical parameters of PMSM becomes the requirement of high precision control, and the traditional regulator can not self-adjust its parameters with the change of working conditions, which makes the stability and immunity of the system worse. Therefore, the adaptive ability of regulator is also the development requirement of servo control system. As an important branch of adaptive methods, model reference adaptive (MRAS) (MRAA) is becoming more and more widely used in industry. At present, the model reference adaptive method is applied to motor control actively at home and abroad. The principle of model reference adaptive is simple, the identification accuracy is high, and it is easy to realize. In this paper, based on the study of model reference adaptive theory, the discrete model reference control scheme is adopted, and the parameters online identification and rotational speed adaptive control theory of permanent magnet synchronous motor are studied based on MRAS expansion. The main research contents are as follows: 1. Based on TI control chip TMS320F28335, the PMSM vector control system is designed. The control models of current loop and speed loop are established, and the parameters of the two loop controller are designed. On the basis of the hardware circuit and software program of the system, the on-line identification of motor parameters and rotational speed is realized. Through the research of the model reference adaptive control system, the on-line identification law of the motor parameters is designed by using the popov hyperstability theory. On the basis of vector control simulation model, the on-line identification simulation model of motor parameters. 3 is designed, and the three-phase PMSM speed adaptive control system based on MRAS is comparatively studied. This paper presents a design method of speed adaptive regulator based on sensorless position sensor, which overcomes the adverse influence of traditional position sensor on the control system. The control platform of the system is built, and the hardware circuit and software program of the system are designed. In this paper, the permanent magnet synchronous motor control system is modeled and simulated by Matlab/Simulink simulation and PMSM closed-loop vector control system experiment. It is fully proved that the proposed on-line parameter identification algorithm can quickly and accurately identify the mechanical parameters and rotational speed of the motor, which provides the necessary conditions for the further improvement of the performance of the motor control system, and has a very important significance.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM341
本文编号：2242285
[Abstract]:With the rapid development of modern industry, permanent magnet synchronous motor (PMSM) (PMSM) is widely used in high-precision industrial control equipment to replace the wide-speed DC servomotor, especially in the field of emerging energy, such as electric vehicles, etc. Permanent magnet synchronous motor (PMSM) is widely used. In the servo control system of PMSM, the mechanical parameters of PMSM will change with the change of working conditions, which has a negative effect on the control performance of PMSM. Therefore, the on-line identification of mechanical parameters of PMSM becomes the requirement of high precision control, and the traditional regulator can not self-adjust its parameters with the change of working conditions, which makes the stability and immunity of the system worse. Therefore, the adaptive ability of regulator is also the development requirement of servo control system. As an important branch of adaptive methods, model reference adaptive (MRAS) (MRAA) is becoming more and more widely used in industry. At present, the model reference adaptive method is applied to motor control actively at home and abroad. The principle of model reference adaptive is simple, the identification accuracy is high, and it is easy to realize. In this paper, based on the study of model reference adaptive theory, the discrete model reference control scheme is adopted, and the parameters online identification and rotational speed adaptive control theory of permanent magnet synchronous motor are studied based on MRAS expansion. The main research contents are as follows: 1. Based on TI control chip TMS320F28335, the PMSM vector control system is designed. The control models of current loop and speed loop are established, and the parameters of the two loop controller are designed. On the basis of the hardware circuit and software program of the system, the on-line identification of motor parameters and rotational speed is realized. Through the research of the model reference adaptive control system, the on-line identification law of the motor parameters is designed by using the popov hyperstability theory. On the basis of vector control simulation model, the on-line identification simulation model of motor parameters. 3 is designed, and the three-phase PMSM speed adaptive control system based on MRAS is comparatively studied. This paper presents a design method of speed adaptive regulator based on sensorless position sensor, which overcomes the adverse influence of traditional position sensor on the control system. The control platform of the system is built, and the hardware circuit and software program of the system are designed. In this paper, the permanent magnet synchronous motor control system is modeled and simulated by Matlab/Simulink simulation and PMSM closed-loop vector control system experiment. It is fully proved that the proposed on-line parameter identification algorithm can quickly and accurately identify the mechanical parameters and rotational speed of the motor, which provides the necessary conditions for the further improvement of the performance of the motor control system, and has a very important significance.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM341
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