基于文化遗传算法的水浴温度模糊控制器设计

水浴温度控制普遍存在滞后、超调、波动性大等特点,且难以建立精确的数学模型,一般采用模糊控制器实现对水浴温度的控制,但模糊控制规则具有较强的主观性,其控制性能往往达不到客观要求。研究遗传算法在模糊控制规则寻优上的应用,将其和文化算法相结合,构成一种具有双层协同进化机制的文化遗传算法,采用专家经验的知识信息构成信仰空间作为指导方向,然后在群体空间中进行遗传算法操作,选取群体中适应度值较高的个体更新信仰空间,再通过迭代优化,得到适应度值高的个体,将其作为优化的模糊控制规则。仿真实验表明,优化后的规则在控制过程中的动态温度跟踪和稳态误差方面均具有较好的效果。

The fuzzy temperature controller design for water-bath based on cultural genetic algorithm

It commonly exists lag, overshoot, large volatility and other characteristics in water bath temperature control, and it is difficult to establish a precise mathematical model. Generally, water bath temperature is controlled by fuzzy controller, but its rules have strong subjectivity, and its control performance often can not reach the objective requirements. In the paper, the genetic algorithm is used to optimize fuzzy control rules and combined with cultural algorithm to form a kind of cultural genetic algorithm with double cooperative evolutionary mechanism. The expert experience knowledge is used to construct belief space, which acts as guidance direction, and then conducts genetic algorithm among the group space. The individual with higher fitness value is selected to update belief space. Finally, through iterative optimization, the individual with high fitness value is obtained and acted as the fuzzy control rules. Simulation results show that the optimized rules have a better performance in dynamic temperature tracking of control process and steady-state error.