基于模型预测的多电机弱磁同步控制策略研究

从工业场合下多电机系统高速运行的实际需求出发,分析了传统多电机控制系统和传统弱磁控制系统的优缺点,针对多电机高速运行时的弱磁特性进行了研究。模型预测控制(MPC)是一种基于被控对象模型的新型控制算法,具有较强的鲁棒性和较好的控制性能。交叉耦合控制是一种在并行控制基础上对每个电机进行相应补偿的控制系统。将MPC应用到多电机控制系统中并对其进行改进使其具有弱磁控制能力;对传统的交叉耦合控制策略进行改进。将二者结合提出了一种基于模型预测的多电机弱磁同步控制策略,并以双电机系统为例。最后,进行了仿真验证,仿真试验结果表明,基于模型预测的多电机弱磁同步控制策略,可获得比传统双电机系统更好的跟随性能和同步性能。

Synchronous Flux Weakening Control Strategy of MultiMotorSystem Based on Model Prediction

Based on the actual demand for highspeed operation of multimotor system in industrial occasions, the advantages and disadvantages of traditional multimotor control system and traditional flux weakening control system were analyzed. The flux weakening characteristics of multimotor system under the highspeed operation were discussed. Model predictive control (MPC) was a new control algorithm based on the controlled object model, which had strong robustness and better control performance. Crosscoupling control was a control system which compensated each motor on the basis of parallel control. MPC was applied to multimotor control system and the ability of flux weakening control was improved. The traditional crosscoupling control strategy was also improved. A model prediction synchronous control strategy for multimotor flux weakening control was proposed based on the combination of the two strategies. Taking the simulation of dualmotor system as an example, the simulation results show that the multimotor flux weakening synchronous control strategy based on model prediction has better tracking performance and synchronous performance than the traditional control system.