神经网络优化PID控制器的暖通控制系统

发布时间：2018-01-28 22:41

本文关键词： 暖通控制系统 PID控制器神经网络仿真平台控制精度　出处：《现代电子技术》2017年23期 　论文类型：期刊论文

【摘要】：PID控制器对暖通控制系统的性能起着十分关键的作用,暖通控制系统具有非平稳性、时变性,导致传统PID控制器无法获得高精度的暖通控制效果。为了解决传统控制方法存在的缺陷,以提高暖通控制精度为目标,提出基于神经网络优化PID控制器的暖通控制系统。分析暖通控制系统的工作原理,建立PID控制器的数学模型,通过神经网络对暖通控制系统的PID控制参数进行优化,不断调整控制误差,保证暖通控制效果,在Matlab平台下进行暖通控制系统的测试。结果表明,该系统获得比其他暖通控制系统更高的控制精度,而且在最短时间使系统达到平稳状态,减少了系统的调整时间,改善了暖通控制系统的工作效率,具有较高的实际应用价值。
[Abstract]:PID controller plays a very important role in the performance of HVAC control system, which is non-stationary and time-varying. The traditional PID controller can not get high precision HVAC control effect. In order to solve the defects of the traditional control method, the goal is to improve the HVAC control accuracy. The HVAC control system based on neural network optimization PID controller is proposed. The working principle of HVAC control system is analyzed and the mathematical model of PID controller is established. The PID control parameters of HVAC control system are optimized by neural network, and the control error is constantly adjusted to ensure the effect of HVAC control. The test of HVAC control system based on Matlab platform shows that the control accuracy of the system is higher than that of other HVAC control systems, and the stability of the system is achieved in the shortest time. It reduces the adjusting time of the system, improves the working efficiency of the HVAC control system, and has higher practical application value.
【作者单位】：南京理工大学;
【分类号】：TP273;TU83
【正文快照】： 0引言随着我国经济的不断发展,暖通控制系统在各领域得到广泛的应用[1]。在实际应用中,暖通控制系统受到外界环境的影响,具有超调量大,非平稳性等变化特点,为此采用PID控制器对其进行调节[2-3]。虽然PID控制器的结构十分简单、易操作、可靠性高,但控制效果与其参数合理选择密

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