To optimize the efficiency of the linear compressor,its operating frequency must be controlled equal to the system resonant frequency.The traditional resonant frequency tracking control algorithm relies on the steady ...To optimize the efficiency of the linear compressor,its operating frequency must be controlled equal to the system resonant frequency.The traditional resonant frequency tracking control algorithm relies on the steady state characteristics of the system,which suffers from slow convergence speed,low accuracy and slow system response.In order to solve these problems,a novel resonant frequency tracking control for linear compressor based on model reference adaptive system(MRAS)is proposed in this paper,and the parameter adaptive rate is derived by the Popov's hyperstability theory,so that the system resonant frequency can be directly calculated through the parameter adaptive rate.Furthermore,the traditional algorithm needs to calculate the piston stroke signal by integrating the back-EMF,which has the problem of integral drift.The algorithm proposed in this paper only needs the velocity signal,and the accuracy of the velocity calculation can be ensured by utilizing the self-adaptive band-pass filter(SABPF),thereby greatly improving the accuracy of the resonance frequency calculation.Simulation results verify the effectiveness of the proposed algorithm.展开更多
通过对模型参考自适应(MRAS)理论的研究,设计了一种基于MRAS理论的高精度永磁同步电机无速度传感器矢量控制算法。借助Matlab/Simulink工具对此控制系统进行了仿真研究,得到了与理论分析一致的仿真波形。为进一步检验控制策略的可行性,...通过对模型参考自适应(MRAS)理论的研究,设计了一种基于MRAS理论的高精度永磁同步电机无速度传感器矢量控制算法。借助Matlab/Simulink工具对此控制系统进行了仿真研究,得到了与理论分析一致的仿真波形。为进一步检验控制策略的可行性,在额定功率为2.2 k W、型号为SMTP100L1-50-22-4的永磁同步电机上进行验证实验,并与有速度传感器矢量控制相对比。实验结果表明,基于MRAS理论的无速度传感器控制可以替代光电编码器,很好地完成电机调速。展开更多
基金supported in part by the National Natural Science Foundation of China under Grants 51877093 and 51707079in part by the National Key Research and Development Program of China under Grant 2018YFE0100200in part by the Key Technical Innovation Program of Hubei Province under Grant 2019AAA026.
文摘To optimize the efficiency of the linear compressor,its operating frequency must be controlled equal to the system resonant frequency.The traditional resonant frequency tracking control algorithm relies on the steady state characteristics of the system,which suffers from slow convergence speed,low accuracy and slow system response.In order to solve these problems,a novel resonant frequency tracking control for linear compressor based on model reference adaptive system(MRAS)is proposed in this paper,and the parameter adaptive rate is derived by the Popov's hyperstability theory,so that the system resonant frequency can be directly calculated through the parameter adaptive rate.Furthermore,the traditional algorithm needs to calculate the piston stroke signal by integrating the back-EMF,which has the problem of integral drift.The algorithm proposed in this paper only needs the velocity signal,and the accuracy of the velocity calculation can be ensured by utilizing the self-adaptive band-pass filter(SABPF),thereby greatly improving the accuracy of the resonance frequency calculation.Simulation results verify the effectiveness of the proposed algorithm.
文摘通过对模型参考自适应(MRAS)理论的研究,设计了一种基于MRAS理论的高精度永磁同步电机无速度传感器矢量控制算法。借助Matlab/Simulink工具对此控制系统进行了仿真研究,得到了与理论分析一致的仿真波形。为进一步检验控制策略的可行性,在额定功率为2.2 k W、型号为SMTP100L1-50-22-4的永磁同步电机上进行验证实验,并与有速度传感器矢量控制相对比。实验结果表明,基于MRAS理论的无速度传感器控制可以替代光电编码器,很好地完成电机调速。
