Identification and predictive control for a circulation fluidized bed boiler

Authors:
Guoli Ji;Jiangyin Huang;Kangkang Zhang;Yucai Zhu;Wei Lin;Tianxiao Ji;Sun Zhou;Bin Yao
Affiliations:
Department of Automation, Xiamen University, Xiamen 361005, China;Department of Automation, Xiamen University, Xiamen 361005, China;Department of Automation, Xiamen University, Xiamen 361005, China;Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, China;Department of Automation, Xiamen University, Xiamen 361005, China;Department of Mechanical and Aerospace Engineering, Florida Institute of Technology, FL 32901, USA;Department of Automation, Xiamen University, Xiamen 361005, China;Department of Mechanical and Electional Engineering, Xiamen University, Xiamen 361005, China
Venue:
Knowledge-Based Systems
Year:
2013

Citing 13
Cited 0

System identification: theory for the user

System identification: theory for the user
Guaranteed properties of gain scheduled control for linear parameter-varying plants

Automatica (Journal of IFAC)
Computer-controlled systems (3rd ed.)

Computer-controlled systems (3rd ed.)
Multivariable System Identification for Process Control

Multivariable System Identification for Process Control
Model Predictive Control for Linear Parameter Varying Systems Using a New Parameter Dependent Terminal Weighting Matrix

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Subspace identification of MIMO LPV systems using a periodic scheduling sequence

Automatica (Journal of IFAC)
Asymptotically optimal orthonormal basis functions for LPV system identification

Automatica (Journal of IFAC)
Stabilizing model predictive control for LPV systems subject to constraints with parameter-dependent control law

ACC'09 Proceedings of the 2009 conference on American Control Conference
Refined instrumental variable methods for identification of LPV Box-Jenkins models

Automatica (Journal of IFAC)
Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

Knowledge-Based Systems
The agile improvement of MMORPGs based on the enhanced chaotic neural network

Knowledge-Based Systems
Quasi-Min-Max MPC algorithms for LPV systems

Automatica (Journal of IFAC)
Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces the design and presents the research findings of the identification and control application for an industrial Circulation Fluidized Bed (CFB) boiler. Linear Parameter Varying (LPV) model is used in the model identification where steam flow is selected as the operation-point (scheduling) variable. Three kinds of weighting functions, namely linear, cubic splines and Gaussian functions are compared. LPV model based Model Predictive Control (MPC) is also simulated. Test results show that LPV model is more accurate than linear model, and LPV MPC yields a better control effect than linear MPC.