Comparison of Model Predictive Control with Global Linearization Control in Temperature Control of CSTR

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Khaksar Toroghi, Masoud | 2009

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39046 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Shahrokhi, Mohammad
Abstract:
Controlling the nonlinear processes is very important in industry. In this thesis, model predictive control is considered as a nonlinear control strategy and two nonlinear models, namely wiener and Hammerstein models are used and their identification methods are described. State-space model is also considered and closed-loop stability has been studied. Another strategy for controlling the nonlinear process is global linearization control. Some concepts and related theorems for this strategy are stated. PID controller is used as a linear controller for this strategy. In this model for estimating the state and load, two nonlinear observers are used. Stability analysis of output feedback is considered.Two nonlinear strategies applied to unstable continuous stirred tank reactor .Simulation results show that nonlinear model predictive control has a better performance compared to global linearization control. Finally, dual mode control strategy for improving the model predictive control strategy is presented
Keywords:
Global Linearization Control ; Nonlinear Observer ; Closed Loop Stability ; Unstable Contunuse Sirred Tank Reactor (CSTR) ; Dual Mode Controllers ; Nonlinear Predictive Control

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