摘要
针对电力生产等工业过程中常见的非线性对象 ,以二阶时滞传递函数表征其模型 ,运用改进的遗传算法对模型中的参数进行辨识 ,优化实时控制参数。运用全局搜索与局部搜索相结合 ,克服在种群规模减小、压缩使用最优区间的加速算法所带来的未成熟收敛。
For non linear object s which are commonly met in industrial p rocesses, such as electric power product ion, the real time control parameters ar e optimized by using the second order ti me lag transfer function to express the model and recognize the parameters in mo del with improved genetic algorithm. Thr ough combining the global search and loc al search the unmatured convergence is o vercome. Such unmatured convergence is c aused by the scope of species group gett ing smaller and accelerated algorithm fo r compressing optimal region.
出处
《自动化仪表》
CAS
北大核心
2001年第12期11-14,共4页
Process Automation Instrumentation
