基于SGA的约束非线性预测控制

Constrained nonlinear predictive control based on SGA

针对约束非线性系统,提出了一种基于SGA的预测控制方法。将SGA算法引入到预测控制的滚动优化中,对非线性预测模型的性能指标寻取最优控制序列,并在SGA算法的初始种群产生阶段以及交叉、变异操作阶段采用搜索空间限定法处理系统的约束,使系统在满足约束条件下求得全局最优解。仿真结果表明该方法的有效性。

A predictive control scheme based on SGA which can be proposed for constrained nonlinear systems.The SGA algorithm is introduced into the rolling optimization of predictive control in order to calculate the optimal control sequence for the performance of the nonlinear prediction model, and search space limit method is used to deal with system constraints in the stage of initial population and crossover and mutation operation in SGA algorithm, make the system to meet the global optimal solution under the constraint condition.The simulation results show that the method is effective.