| 遗传神经网络PID控制技术研究与应用 |
| |
| 引用本文： | 孙卫娜.遗传神经网络PID控制技术研究与应用[J].沈阳航空工业学院学报,2011,28(3):52-55. |
| |
| 作者姓名： | 孙卫娜 |
| |
| 作者单位： | 沈阳发动机设计研究所,辽宁沈阳,110015 |
| |
| 摘 要： | 针对空调控制系统非线性、大滞后、时变性等特点,通过对中央空调总风量控制法的研究,提出了采用遗传算法神经网络PID控制方法,使空调控制系统具有较高的控制精度和良好的动态特性。仿真及实验结果表明该方法有效可行。
|
| 关 键 词： | 神经网络PID控制 总风量控制 动态性能 稳态精度 |
Research and application of PID control based on genetic neural network |
| |
| SUN Wei-na.Research and application of PID control based on genetic neural network[J].Journal of Shenyang Institute of Aeronautical Engineering,2011,28(3):52-55. |
| |
| Authors: | SUN Wei-na |
| |
| Institution: | SUN Wei-na (Shenyang Aeroengine Research Institute,Liaoning Shenyang 110015) |
| |
| Abstract: | Air conditioning control system is a nonlinear,large delay,time-varying system.Based on studies of total air volume control of central air conditioning,a method using genetic algorithm to achieve neural network PID control is proposed,which provides higher control precision and better dynamic performance.Effectiveness and feasibility of the method is shown by the simulation and experimental results. |
| |
| Keywords: | neural network PID control total air volume control dynamic performance steady state accuracy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
