Temperature Control of Electric Furnaces using Adaptive Time Optimal Control

적응최적시간제어를 사용한 전기로의 온도제어

  • 전봉근 (한양대학교 메카트로닉스.시스템공학과) ;
  • 송창섭 (한양대학교 기계공학부) ;
  • 금영탁 (한양대학교 기계공학부)
  • Published : 2009.05.01

Abstract

An electric furnace, inside which desired temperatures are kept constant by generating heat, is known to be a difficult system to control and model exactly because system parameters and response delay time vary as the temperature and position are changed. In this study the heating system of ceramic drying furnaces with time-varying parameters is mathematically modeled as a second order system and control parameters are estimated by using a RIV (Recursive Instrumental-Variable) method. A modified bang-bang control with magnitude tuning is proposed in the time optimal temperature control of ceramic drying electric furnaces and its performance is experimentally verified. It is proven that temperature tracking of adaptive time optimal control using a second order model is more stable than the GPCEW (Generalized Predictive Control with Exponential Weight) and rapidly settles down by pre-estimation of the system parameters.

Keywords

References

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