摘要
本文提出了一种免疫遗传算法优化的模糊控制器,利用免疫遗传算法的全局搜索功能和神经元的自学习能力,提高了模糊控制器的控制精度和抗干扰能力。将该控制器用于全阶精馏塔模型仿真,仿真结果表明该控制器可以有效地消除静态误差,并在控制过渡过程中也有很好的鲁棒性,实际应用效果也表明了该方法的优越性。
A fuzzy controller optimized by immune genetic algorithm （IGA）. By utilizing the global search ability of immune genetic algorithm（IGA） and self-learning ability of neuron controller, the new approach increases the control accuracy of fuzzy controller and improves its ability of anti-interference. The simulation result, which was obtained by applying the method to full order rectification column model, shows static error was effectively reduced and the robustness of the new approach in controlling shock in the process was satisfactory. Also, the advantages of this new approach are shown in practical applications.
出处
《中国新技术新产品精选》
2008年第3期96-99,共4页
Chinese Selected New Technologies and Products
关键词
免疫遗传算法
模糊
精馏塔
Immune genetic algorithm
Fuzzy
Rectification Column
