摘要
针对变风量空调系统的延迟,非线性和模型不确定性,本文提出将神经元P I D控制器应用于变风量空调系统中。该控制器综合了神经网络和P I D调节各自的有点,具有神经网络的学习和适应能力,同时具备P I D控制的广泛的适应性。仿真实验表明该控制器控制结果优于传统的P I D控制器。
An adaptive PID controller based on BP neural network is proposed in this paper in order to overcome the delay,Nonlinear and uncertainy of variable Air Volume Air Condition System.The controller possesses not only as widely as PID regulation but also the learning and adaptive functions by using BP neural network.The result of the simulation experiment shows that the controller is better than traditional PID control and has adaptability and robustness to environments.
出处
《自动化与仪器仪表》
2011年第6期35-36,39,共3页
Automation & Instrumentation
基金
福建省自然科学基金(2009J05127)
福建省教育厅高校专项(JK2010033)
集美大学中青年创新团队专项基金(2009A002)
关键词
变风量空调
BP神经网络
PID控制
variable air volume air condition system
BP neural network
PID control
