基于鲸鱼算法的区间二型模糊空调温度控制
Interval Type-2 Fuzzy Temperature Control for Air Conditioning Based on Whale Algorithm
孙柯 1龙祖强 1古嘉盈1
作者信息
- 1. 衡阳师范学院 物理与电子工程学院,湖南 衡阳 421002
- 折叠
摘要
针对空调温度控制系统存在惯性大、非线性、时滞性等特性而导致控制精度低、难度大的问题,本文提出一种基于鲸鱼优化算法(WOA)的区间二型模糊温度控制系统.在建立空调温度控制系统仿真模型的基础上,设计合理的区间二型模糊逻辑控制器(IT2FLC),并利用WOA对模糊控制器的隶属度函数进行优化.WOA具有全局搜索能力强、简单易行、收敛速度快等优势,能够有效避免局部最优,提升控制器的鲁棒性和效率.通过实验对比,WOA优化的IT2FLC在系统的超调量、稳态误差等方面更有优势,改善了系统的性能.
Abstract
To address the issues of low control accuracy and high complexity in air conditioning temperature control systems due to their characteristics of large inertia,nonlinearity,and time delay,this paper proposes an Interval Type-2 Fuzzy Logic Control(IT2FLC)system optimized by the Whale Optimization Algorithm(WOA).A simulation model of the air conditioning temperature control system is developed,upon which a robust IT2FLC is designed.The WOA is employed to optimize the membership functions of the fuzzy con-troller.The WOA offers advantages such as strong global search capabilities,simplicity,and fast convergence,effectively avoiding local optima and enhancing the controller's robustness and efficiency.Experimental comparisons indicate that the WOA-optimized IT2FLC demonstrates superior performance in terms of overshoot and steady-state error,thereby significantly improving the overall system per-formance.
关键词
空调系统/鲸鱼优化算法/区间二型模糊逻辑控制/温度控制Key words
air conditioning system/whale optimization algorithm/interval type-2 fuzzy logic control/temperature control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据