摘要
为满足人们对室内环境的舒适度要求,构建室内空气舒适度模型.通过分析室内环境参数变量的非线性关系及输入输出规律,建立被控对象的数学模型.采取改进递推最小二乘法的策略,对被控对象进行参数辨识,有效地提高了辨识效果.仿真实验表明采用不同参数应用不同遗忘因子的方法可以很好的模拟室内空气环境.
An indoor air comfort level model is built to meet the needs of indoor environmental comfort. The mathematical model of the controlled objects is built by analyzing the indoor environment parameters of the nonlinear relationship between input and output rules. The identification effects have been improved effectively by taking improved recursive least squares method to conduct parameter identification. Simulation results show that using different parameters and forgetting factors can simulate indoor air environment very well.
出处
《广西工学院学报》
CAS
2012年第4期41-46,共6页
Journal of Guangxi University of Technology
基金
广西工学院科学基金项目(院科自1166205)资助
关键词
舒适度
参数辨识
遗忘因子
最小二乘法
comfort level
parameter identification
forgetting factor
least squares method
