摘要
针对永磁同步电机在传统无传感器滑模控制系统中存在的抖振、相位延迟和鲁棒性差等问题,设计了一种双自适应二阶广义积分器和归一化锁相环(dual adaptive second order generalized integrator and quadrature phase locked loop,DASOGI-QPLL)的改进高阶滑模观测器的控制方法。首先,双广义二阶积分器的锁相环结构,作为一种闭环PLL方案能够在电网电压不平衡、产生畸变、频率跳动等场合准确获取正、负分量的相位、频率和幅度值信息,将其利用在滑模控制当中,能有效滤除其滑模面产生的高频脉振,并能有效抑制电机波动时的电流(电压)波形畸变;其次,对传统高阶滑模观测器引入基于转子转速的自适应高阶滑模增益;最后,采用归一化正交锁相环对电机的转速和转子位置进行估计。仿真结果表明,所设计的DASOGI-QPLL能很好地解决这一问题,在对滑模面高频脉振进行滤波的同时能够快速准确跟踪到电流(电压)波形的幅值和相位,提高了电机的控制精度和运行的动态性能。
Aiming at the problems of chattering,phase delay and poor robustness in the traditional sensorless sliding mode control system of permanent magnet synchronous motor,An improved high-order sliding mode observer control method of adaptive dual adaptive second order generalized integrator and quadrature phase locked loop(DASOGI-QPLL)is designed.Firstly,the phase-locked loop structure of the dual generalized second-order dual second-order generalized integrator,as a closed-loop PLL scheme,can accurately obtain the phase,frequency and amplitude information of the positive and negative components in the case of grid voltage imbalance,distortion and frequency jitter,and can effectively filter out the high-frequency pulse generated by the sliding mode surface and effectively suppress the current(voltage)waveform distortion when the motor fluctuates;Secondly,the adaptive high-order sliding mode gain based on rotor speed is introduced to the traditional high-order sliding mode observer;Finally,the normalized orthogonal phase locked loop is used to estimate the speed and rotor position of the motor.The simulation results show that the Da based adaptive DASOGI-QPLL designed in this paper can well solve this problem.It can quickly and accurately track the amplitude and phase of the current(voltage)waveform while filtering the high-frequency pulse vibration of the sliding mode surface,and improve the control accuracy and dynamic performance of the motor.
作者
刘鑫东
万文略
范晓狄
LIU Xindong;WAN Wenlue;FAN Xiaodi(School of Electrical and Electronic Engineering,Chongqing University of Technology,Chongqing 400054,China)
出处
《组合机床与自动化加工技术》
北大核心
2024年第7期93-97,共5页
Modular Machine Tool & Automatic Manufacturing Technique
基金
重庆理工大学研究生创新项目(gzlcx20233128)。