基于粒子群优化的隐式广义预测控制

Implicit Generalized Predictive Control Based on Particle Swarm Optimization

提出一种基于粒子群优化算法(PSO)的隐式广义预测控制(IGPC)。滚动优化作为预测控制的重要组成部分对控制效果的好坏起着关键作用,因而寻求一种可靠的优化算法十分必要。PSO算法是一种群集智能方法,通过粒子之间的合作、竞争及进化实现对多维复杂空间的高效搜索,属于一类随机全局优化技术,已成功应用于各科学和工程领域。它将PSO算法应用于IGPC的滚动优化部分来求解最优预测控制律,仿真结果显示了该方法是可行的。

A kind of implicit generalized predictive control（IGPC） based on particle swarm optimization（PSO）is put forward in this paper.Roll optimizing process is an important part of the predictive control,which palys a key role on control effect,so it is necessary to seek a highly efficient optimization method.The PSO algorithm employed exhibits good optimization performance.Satisfactory experimental results are obtained and demonstrate the efficacy of the PSO algorithm employed.