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| 神经网络PID控制器在VAC合成中温控制中的应用 | |
| 引用本文： | 杨春燕,刘江华,刘小红.神经网络PID控制器在VAC合成中温控制中的应用[J].江西科学,2008,26(6):942-945. |
| 作者姓名： | 杨春燕 刘江华 刘小红 |
| 作者单位： | 1. 江西省科学院计算机信息中心,江西,南昌,330029 2. 江西省计算技术研究所,江西,南昌,330002 3. 江西省科学院应用化学研究所,江西,南昌,330029 |
| 摘 要： | 针对醋酸乙烯合成中温过程具有时滞、非线性特征，将BP神经网络和常规PID控制器相结合，提出一种基于BP神经网络的自适应PID中温控制方案。仿真试验表明所提控制方案能有效减少扰动对中温的影响，并能够有效克服被控对象的时滞性和非线性，获得良好的控制品质。 |
| 关 键 词： | BP神经网络 PID控制器 VAC 中温控制 |
The Application of BP Neural Network Based PID Controller in VAC Synthesis Mid-Temperature Control System |
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| YANG Chun-yan,LIU Jiang-hua,LIU Xiao-hong.The Application of BP Neural Network Based PID Controller in VAC Synthesis Mid-Temperature Control System[J].Jiangxi Science,2008,26(6):942-945. | |
| Authors: | YANG Chun-yan LIU Jiang-hua LIU Xiao-hong |
| Institution: | YANG Chun-yan1,LIU Jiang-hua2,LIU Xiao-hong3 |
| Abstract: | Aiming at the time-delay,non -linear in VAC synthesis mid -temperature process,by BP neural network and conventional PID controller combination, a neural network - based BP Adaptive PID mid-temperature control program is put forward. Disturbance can effectively reduce the impact of temperature, and can effectively overcome the time lag and inertia of mid-temperature target, the con- trol of access to good quality. Simulation experiments show that： the designed system in the control quality, robustness aspects of is superior to the current conventional PID control system. |
| Keywords: | VAC |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |