一种基于自适应输入—输出线性化的无刷直流电机参数辨识方法

A parameter identification method of brushless DC motor based on adaptive input-output linearization

对基于理想换相的永磁无刷直流电机,在给出其单相等效模型的基础上,运用基于自适应输入—输出线性化(AIOL)方法,设计了适用于无刷直流电机的参数辨识与控制的电流控制器,来提高驱动控制系统对电机参数的自适应能力;此外,对辨识方法进行相应的改进。研究和仿真分析结果表明AIOL方法不要求各状态量解耦,参考模型中也不包含估计状态量,因而自适应律的导出较简单,并且使参数辨识与电机控制在一个框架内得到解决,更适合电机的运行控制;基于AIOL方法的改进参数辨识算法消除了待辨识参数变化互相耦合、相互抵消的负面影响,能够准确、稳定地估计电机参数,且系统的响应性能较好,易于工程实现。

Equivalent single phase model of brushless DC motor （BLDCM） is deduced assuming it can commutate ideally. In order to improve the adaptive capability of the driving control system when the motor parameters vary, the current controller which is suitable for the control and parameter identification of BLDCM is designed based on adaptive input-output linearization method. The parameter identification method was improved. The research and simulation results show that the adaptive rule can be deduced easily with the AIOL method because it doesn＇t require the state quantities＇ discoupling and the estimated state quantities needn＇t be included in the reference model ; at the same time, the method can make the parameter estimation and motor control solved in the same frame, so it is more suitable for the motor operation control. The improved parameter identification algorithm based on adaptive input-output linearization can estimate the motor parameters exactly and stably with good system response as it eliminates the parameters negative influences of mutually counteracting.