摘要
基于遗传算法的动态矩阵预测控制(DMC)算法在每个采样时刻,用遗传算法优化不同的染色体种群,由最优个体解码得到最优参数集,再计算当前控制序列增量并施加到被控对象。在下一时刻,由输出实测值修正初始预测值,直至结束为止。被控对象仿真表明,该算法具有较好的控制效果。
Predictive control algorithm of dynamic matrix based on genetic algorithm is that the different chromosomes genus group is optimized by genetic algorithm at each sampling time. The optimal parameter was gotten through decoding of optimal individual, and current control series increment was calculated and it was added to controlled objects. At next moment, original predictive values were rectified by output real measure value, until finish. Simulation of controlled object shows that the algorithm has better control result.
出处
《兵工自动化》
2005年第1期59-59,64,共2页
Ordnance Industry Automation
关键词
预测控制
动态矩阵
遗传算法
Predictive control
Dynamic matrix
Genetic algorithm
