摘要
针对永磁辅助式同步磁阻电机的电感参数会随着电流变化发生明显改变,由此造成采用原有永磁同步电机所用的最大转矩电流比控制策略和高性能控制方法难以达到预期效果的问题,提出将电感偏导项加入自寻优控制中以解决普通自寻优控制中不能预测下一时刻电感从而导致电机失控的问题,并分析其产生原理,利用模型参考自适应法来构建满秩参数辨识系统,将辨识结果代入改进自寻优控制策略与模型预测电流控制中,从而确保了高性能控制方法能够发挥应有的效果。针对电机的不同运行工况进行了仿真和实验验证,实验结果证明加入电感偏导项能够克服原有自寻优控制和参数辨识同时使用产生的失控问题。相较于固定参数,利用改进自寻优控制与参数辨识控制的电机电流幅值、电流幅值误差和波动都有了改善。
The inductance parameters of the permanent magnet-assisted synchronous reluctance motor will change significantly with the change of the current, which makes it difficult to achieve the expected effect by using the maximum torque per ampere ratio control strategy and high-performance control method used in the original permanent magnet synchronous motor. It is proposed to add the partial derivative term of inductance to self-optimizing control to solve the problem that the inductance cannot be predicted at the next moment in ordinary self-optimizing control, which leads to the failure of control of the motor. The rank parameter identification system substitutes the identification results into the improved self-optimizing control strategy and model predictive current control, thus ensuring that the high-performance control method can play its due effect. Simulation and experimental verification are carried out for different operating conditions of the motor. The experimental results show that adding the inductance partial derivative term can overcome the out-of-control problem caused by the simultaneous use of the original self-optimizing control and parameter identification. Compared with the fixed parameters, the motor current amplitude, current amplitude error and fluctuation using the improved self-optimization control and parameter identification control are improved.
作者
邱建琪
曾汉
史涔溦
QIU Jian-qi;ZENG Han;SHI Cen-wei(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China)
出处
《电机与控制学报》
EI
CSCD
北大核心
2022年第6期1-8,共8页
Electric Machines and Control
基金
国家自然科学基金(51907176)。
关键词
永磁辅助式同步磁阻电机
自寻优控制
参数辨识
模型参考自适应
电感偏导项
模型预测电流控制
permanent magnet assisted synchronous reluctance motor
self-optimizing control
parameter identification
model reference adaptation
partial derivative of inductance
model predictive current control
