SMPMSM 系统的无模型反步控制

电动汽车永磁同步电机(PMSM)驱动系统的参数不确定性以及逆变器非线性,将引起电机转速鲁棒性降低,导致电动 汽车速度剧烈波动。 为了提升电动汽车永磁同步电机驱动系统的快速响应性能和鲁棒性,提出了基于无模型的自适应反步控 制(MF-ABC)。 根据无模型控制的代数估计方法,建立超局部模型干扰估计器,再基于自适应反步控制框架,组建适合 PMSM 驱动系统高可靠性运行的 MF-ABC 控制。 研究结果表明,所提出的控制器能够观测、估计和消除各种不确定性,包括系统未建 模动态和外部干扰。 MF-ABC 估计出的干扰值可以用来描述干扰和分析误差。 所提出的方案实时的提升算法计算效益,实现 矢量控制的 PMSM 驱动系统 MTPA 模式高性能稳健运行的研究目标。 通过 dSPACE 台架测试,证实提出的 MF-ABC 和传统反 步控制相比实现了 PMSM 抗转矩干扰能力提升 22%,阶跃响应的快速性提升 0. 02 s。 实验结果证明,MF-ABC 具有强抗干扰性 和响应快速性。

Model-free backstepping control of SMPMSM system

The parameter uncertainty of permanent magnet synchronous motor (PMSM) drive system and the nonlinearity of inverter will reduce the robustness of motor speed and lead to the drastic fluctuation of electric vehicle speed. In order to improve the response performance and robustness of PMSM drive system for electric vehicles, a model-free adaptive backstepping control ( MF-ABC) is proposed. First, based on the algebraic estimation method of model-free control, an ultra-local model disturbance estimator is established. Second, based on the adaptive backstepping control framework, MF-ABC control suitable for high reliability operation of PMSM drive system is constructed. The results show that the proposed controller can observe, estimate and eliminate all kinds of uncertainties, including unmodeled dynamics and external disturbances. The disturbance value estimated by MF-ABC can be used to describe uncertainty and analysis error. The proposed scheme improves the calculation efficiency in real time and achieves the research goal of high performance and robust operation of the vector controlled PMSM drive system MTPA mode. Through dSPACE bench test, compared with traditional backstepping control, the proposed MF-ABC achieves 22% improvement in the torque disturbance suppression capability of PMSM and 0. 02 s increase in the step response speed. The experimental results show that MF-ABC has strong disturbance suppression capability and fast response performance.