摘要
为了得到高品质的系统输出,提出了基于遗传算法的自适应控制系统的设计方法。以自适应控制器的每个控制量、状态参数、输出量等作为基因,在问题的状态空间内进行并行的启发式优化搜索,根据这些基因构成的染色体估计系统输出量。这种方法适用于非线性动态系统中多参数、多约束条件的最优控制。
A design method based on genetic algorithm （GA） in adaptive controlling system was developed so as to obtain high quality output. The method uses each gene to stand for a controlling variable, state or output variable and so on, takes these items as chromosome to estimate the output variables in a parallel heuristic process and look for the optimum solution in the state space. This method can be applied to the optimum controlling in the non-linear, dynamic system with multiple parameters and constraint conditions.
出处
《实验室研究与探索》
CAS
2007年第10期41-43,72,共4页
Research and Exploration In Laboratory
关键词
遗传算法
自适应控制
PID
genetic algorithm
adaptive controlling
PID
