论文部分内容阅读
针对房间温控对象的参数变化对空调器模糊控制效果有很大影响这一现象，提出了一种基于遗传算法的自适应模糊控制方法，该方法由一种新型的参数混合辨识算法以及变群体规模的遗传优化算法组成，从而实现了比例因子的在线自调整。仿真结果证明了该方法的有效性。
Aiming at the phenomenon that the parameters of room temperature-controlled object have a great influence on the fuzzy control effect of air conditioner, an adaptive fuzzy control method based on genetic algorithm is proposed, which is composed of a new hybrid algorithm of parameter identification and variable population Scale genetic optimization algorithm, in order to achieve the scale factor online self-tuning. Simulation results show the effectiveness of this method.