提出了一种基于PSO-Powell算法的广义预测控制算法,利用PSO与Powell进行二次搜索来求取广义预测控制的最优控制率.将PSO-Powell算法引入到广义预测控制的滚动优化过程中,约束条件函数和适应度函数一起判断最优解的优劣.该算法可以有效地处理约束并找到全局最优解.最后通过仿真验证该方法的有效性.%Constrained generalized predictive control algorithm is proposed based on PSO-Powell which using two-step search to achieve the optimal control of generalized predictive control. PSO-Powell algorithm is introduced to the roll optimizing process of generalized predictive control , constraint condition function and fitness function judge the optimal solution together. This algorithm can deal with constraint and the optimal solutions effectively. Finally, the simulation results validate the effectiveness of the proposed method.
展开▼
