Improving Central air conditioning energy saving control system through BP Neural Network and Genetic Algorithm

摘要：

BP artificial neural network is a non-feedback network. This paper utilizes the initial weights of neural network to choose controller performance. Simultaneously according to the characteristics that process of central air-conditioning energy saving control is the system of multi-parameter and nonlinear time-varying complexity, we analysis and study its algorithm and system architecture. The experimental results demonstrate that new control system gets better results and energy saving.

关键词： steady-state error robustness BP artificial neural network genetic algorithm fuzzy PID control strategy

作者: Zhang Zengdong Ni Ziwei Jiang Yi Lin Fan

作者单位: College of Information Science and Technology Xiamen University Xiamen, FuJian, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 643-646

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）