The Research on Regenerative Furnace Combustion Control Based on Multi-scale Wavelet Network
This article proposes a compound control strategy. It is based on the multi-resolution wavelet controller, the sub-controller and the PID-NNC master-controller and integrated with the WNN wavelet neural network identifier. This strategy can be used to overcome effectively bad influences caused by the system initiation, the control mode, the object change and the exterior disturbance to the regenerative furnace in the process of combustion temperature control. This strategy has such characteristics as quick response, small overshoot, high stable state precision, strong robustness and etc. It can not be realized easily by conventional PID control, which has been proved by the simulation result. It offers a new way for applying the wavelet transformation in the steel metallurgy controlling domain and a new direction for saving energy and reducing consumption.
Regenerative Furnace Multi-scale Wavelet Network Dual-crossing Temperature Control
Yang Xiao Hong You Wen Zhang Yan
Department of Aviation Control Engineering, Aviation University of Air Force, Changchun 130021 Department of Electric Engineering and Electronic Science, Chang Chun University of Technology 13001 Department of Computer Science, Aviation University of Air Force, Changchun 130022, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3151-3155
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）