摘要
针对现有预测控制方法的最优控制律的计算较为复杂的问题,提出了一种新的预测控制算法。与现有预测控制算法相比,该算法结构简单,计算量小,鲁棒性强。对算法在一个采样周期内控制律的求取进行了较详细说明。通过对线性和非线性系统的仿真,说明了该算法对线性系统能达到很好的预测控制效果,同时对时变、非线性系统也具有较好的适应性,并具有较强的抗干扰能力。对于快时变系统,该算法需要根据实际时变特性对相关系数加以调整,来达到较满意的效果。
In present predictive control algorithms,it is difficult to get the optimal control strategy,a new predictive control algorithm was presented in this paper,compared with the old predictive algorithms,its advantages were having a more simple structure and less amount of calculation. Gived a intensive illustration to this algorithm in a sampling period. Through the simulation of a linear system and a nonlinear system,it shows that this algorithm can acquire a very good control effect as for the linear system,meanwhile,this algorithm has a good adaptivity to timevarying,nonlinear system and has a good capability of antidisturbance.Simulation shows that it is necessary to adjust relevant coefficients in this algorithm to actual rapidly timevarying systems, so this algorithm desires our further research.
出处
《控制工程》
CSCD
2003年第z1期112-114,共3页
Control Engineering of China
关键词
预测控制
期望轨迹
预测模型
仿真
predictive control
desired trajectory
predictive model
simulation