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遗传优化模糊控制器在磨煤机系统中的应用
Application of Fuzzy Controller Based on GA in Mill Systems
【摘要】 针对电厂中常见的钢球磨煤机制粉系统,设计了一种基于伪并行遗传算法的模糊控制器,并对多变量对象的适应度函数、交叉和变异算子等进行了改进,仿真实验结果表明该方法是可行的,经过优化的模糊控制器具有较好的鲁棒性和抗干扰性。
【Abstract】 A fuzzy controller based on pseudo-parallel genetic algorithms is applied to ball mill pulverizing system in power plant, and the fitness function of MIMO object, the crossover and mutation operators are modified. Simulation experiment shows better robustness and interference reducing performance of fuzzy controller that has been optimized by GA.
【关键词】 模糊控制器;
伪并行遗传算法;
磨煤机系统;
【Key words】 Fuzzy controller; pseudo-parallel genetic algorithms; ball mill system;
【Key words】 Fuzzy controller; pseudo-parallel genetic algorithms; ball mill system;
- 【文献出处】 电力科学与工程 ,Electric Power Science and Engineering , 编辑部邮箱 ,2005年01期
- 【分类号】TM621.6
- 【被引频次】4
- 【下载频次】91