针对传统控制方法在对永磁无刷直流电机(Brushless DC Motor,BLDCM)进行控制时鲁棒性差、精度低、实时性不理想等缺点,提出了一种模糊与预测相结合的控制算法。将该算法应用于永磁无刷直流电机双闭环调速系统的转速闭环中,并利用MATLAB软件搭建无刷直流电机的控制系统进行仿真。实验结果表明该算法利用模糊控制与预测控制各自的优点,提高了无刷直流电机的性能,是可行和有效的。
A distributed model predictive control(MPC) scheme with one-step delay communication is proposed for on-line optimization and control of large-scale systems in this paper. Cooperation between subsystems is achieved by exchanging information with neighbor-to-neighbor communication and by optimizing the local problem with the improved performance index in the neighborhood. A distributed MPC algorithm with one-step delay communication is developed for the situation that there is a one-step delay in the information available from its neighbors when a subsystem solves the local optimization problem. The nominal stability is employed for the whole system under the distributed MPC algorithm without the inequality constraints. Finally, the case study of the reactor-storage-separator(RSS) system is illustrated to test the practicality of the presented control algorithm.
