基于人类学习优化算法的区间二型模糊控制器设计

Interval Type2 Fuzzy Controllers Based on Human Learning Optimization Algorithm

工业系统复杂程度不断提高、规模不断扩大,传统控制方法难以获得理想的控制性能,而区间二型模糊控制鲁棒性好、响应快速,在处理强耦合、非线性、大滞后系统控制问题具有更大的优势。但是传统的方法很难计算出区间二型模糊控制器的参数,针对这一问题,提出一种基于人类学习优化算法的区间二型模糊控制器设计方法,并将其应用于列车控制中,仿真结果表明区间二型模糊控制器在列车控制中取得更好的效果。

To solve the difficulty in computing the parameters of interval type2 fuzzy controller based on traditional methods,a design method of interval type2 fuzzy controller based on human learning optimization algorithm is proposed,which is applied to train control systems.The simulation result shows that interval type2 fuzzy controller has a greater advantage in dealing with train control systems.