摘要
用微粒群优化算法解决存在约束的广义预测控制的优化问题,并给出了基于微粒群优化算法的广义预测控制算法的实现方法。将该算法应用到工业过程对象中进行测试,仿真结果表明了算法的有效性和高效性,获得了良好的控制效果。
Investigation is made in this paper of using particle swarm optimization algorithm to optimize the performance index of generalized predictive control. An algorithm for generalized predictive control using particle swarm optimization algorithm is given. The ability of the algorithm is tested with industrial process control and the results of the simulation show the validity and better optimization performance, and the algorithm gets good performance.
出处
《微型机与应用》
2010年第18期80-82,85,共4页
Microcomputer & Its Applications
关键词
广义预测控制
遗传算法
优化
约束
generalized predictive control
genetic algorithm
optimization
constraint
