Design of a Self-Tunning Temperature Controller for a Coal Sample Burning Point Detecting nstrument
The burning point of coal sample is a crucial physical property of coal, and it is also a key technical parameter for the exploitation, transportation, and application of coal. The national standard for coal sample burning point detection prescribes a strict rising rate of temperature when coal samples being heated. To meet with this engineering requirement, we introduce a scheme of a coal sample burning point detecting instrument, which is based on an AT89C55 MCU. The characteristics, key techniques, and solutions of the temperature control system are introduced with respect to the instrument. We employ a self-tunning Dahlin controller with a Recursive Least Squares with Exponential Forgetting (RLSEF) algorithm to solve the control problems of this time-delay, big inertia, and time-variable plant (coal sample heating furnace). Simulations show that the self-tunning Dahlin controller is able to not only compensate the time-delay and big inertia of the plant and but also adapt to the variations of plant parameters, so that the requirement for the rising rate of temperature can be fulfilled effectively.
parameter estimation Dahlin control coal sample burning point detection recursive least squares with exponential forgetting
Xiao-Yan Chen Chao-Yi Dong Dai GuangZhi
School of Electric Power, Inner Mongolia University of Technology, Huhhot, hina School of Electric Power, Inner Mongolia University of Technology, Huhhot, China School of Computer Science, Shenzhen Polytechnic, Shenzhen, China
国际会议
湘潭
英文
354-360
2011-07-19（万方平台首次上网日期，不代表论文的发表时间）