Multivariable Nonlinear Model Reference Control of Cement Mills
نویسندگان
چکیده
This paper presents a method for model reference control of a cement-milling circuit that has been studied previously. The approach presented is based on the experimentally justified model developed by Breugesen (1996), and derives the form of control vector with the goal of driving the behavior of the system to that of a desired model. The derivation is based on the Lyapunov theory, and the results observed confirm the tracking claims of the paper. Copyright © 2002 IFAC
منابع مشابه
Multivariable nonlinear predictive control of cement mills
A new multivariable controller for cement milling circuits is presented, which is based on a nonlinear model of the circuit and on a nonlinear predictive control strategy. Comparisons with previous LQ control strategies show improved performances with respect to an important source of perturbations of the circuit: a change of hardness of the raw material.
متن کاملApplication of perfect mixing model for simulation of vertical roller mills
Vertical roller mills (VRMs) are well-established grinding equipment for various tasks in the coal and cement industry. There are few studies on simulation of VRMs. In this research work, application of perfect mixing model for simulation of a VRM in a cement grinding plant was investigated. Two sampling surveys were carried out on the VRM circuit. The samples and data from the first survey wer...
متن کاملIntelligent Fuzzy Predictive Controller Design for Multivariable Process System
Based on the Alopex evolutionary optimization algorithm with constrained T-S model, this paper presents an intelligent fuzzy predictive controller to solve the control difficulties of industry process with multi-variables. The T-S model is firstly established for nonlinear multivariable systems and its sequence parameters of fuzzy rules are identified by local recursive least square method. The...
متن کاملA Variable Structure Observer Based Control Design for a Class of Large scale MIMO Nonlinear Systems
This paper fully discusses how to design an observer based decentralized fuzzy adaptive controller for a class of large scale multivariable non-canonical nonlinear systems with unknown functions of subsystems’ states. On-line tuning mechanisms to adjust both the parameters of the direct adaptive controller and observer that guarantee the ultimately boundedness of both the tracking error and tha...
متن کاملOptimal Control of Nonlinear Multivariable Systems
This paper concerns a study on the optimal control for nonlinear systems. An appropriate alternative in order to alleviate the nonlinearity of a system is the exact linearization approach. In this fashion, the nonlinear system has been linearized using input-output feedback linearization (IOFL). Then, by utilizing the well developed optimal control theory of linear systems, the compensated ...
متن کامل