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Study on Fuzzy Control Algorithm of Temperatrue for Cement Rotaty Kiln Calcination System

Author: LiDongSheng
Tutor: FangYiMing
School: Yanshan University
Course: Control Theory and Control Engineering
Keywords: Cement rotary kiln Temperature control Fuzzy Control Grey Forecasting Model Decoupling Control Smith predictive control MATLAB simulation
CLC: TP273.4
Type: Master's thesis
Year: 2010
Downloads: 246
Quote: 1
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Abstract


This article precalciner cement rotary kiln calcination system as the background , the temperature control system for cement rotary kiln control algorithm design and simulation studies . Temperature cement calcining system control parameters , effective control of the temperature has great theoretical value and practical significance for ensuring the quality of cement clinker . Cement rotary kiln system with a lag , time-varying , large inertia , nonlinear , and difficult to establish the precise mathematical model , the traditional control algorithm has been difficult to meet the control needs . Cement rotary kiln kiln temperature control based on fuzzy control . First of all , on the basis of analysis of the cement rotary kiln process control requirements , input and output data , based on the actual production process of a large cement plant model identification tools for the data in the application of MATLAB simulation software simulation has been the cement rotary kiln calcination system monitoring parameter identification model directly reflects the input-output relationship between the amount of control and the amount charged . Second, consider the system change , hysteresis characteristics , monitoring parameters for the system , identify the model of the fuzzy control algorithm design . Then cement rotary kiln temperature PID control simulation and fuzzy control simulation results show that the fuzzy controller better robustness suitable for cement rotary kiln calcination temperature control system . Then the combined advantages of fuzzy control and gray prediction control design adaptive fuzzy gray prediction model based cement rotary kiln temperature control algorithm and simulation study . The simulation results are compared to verify the effectiveness of the control algorithm . Finally , according to the cement rotary kiln calcination system multivariable control program , take the kiln firing with temperature and kiln temperature two variables as the amount charged to control the amount of feed coal quantity and main exhaust fan speed as a multivariate decoupling Fuzzy-Smith predictive control algorithm . Finally , the simulation results show that the method has good control performance , can achieve significant decoupling of output Q , and robustness , which can solve the cement rotary kiln temperature control problem .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Fuzzy control, fuzzy control system
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