Multivariable nonlinear predictive control of cement mills
نویسندگان
چکیده
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.
منابع مشابه
Multivariable Nonlinear Model Reference Control of Cement Mills
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 re...
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 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 کاملPerformance Comparison of Predictive Controllers in Optimal and Stable Operation of Wastewater Treatment Plants
Any proper operation could be translated as a constrained optimization problem inside a WWTP, whose nonlinear behavior renders its control problems quite attractive for performance of multivariable optimization–based control technique algorithms, such as NMPC. The main advantage of this control technique lies in its ability to handle model nonlinearity as well as various types of constraints on...
متن کاملPii: S0
Ž . This work investigates the use of a recently developed direct neural network NN multivariable predictive controller applied to a grinding plant. The NN controller is trained so that an estimation of the control error several steps ahead is minimized, which are given by a properly designed NN called predictor. An NN, which identifies the plant, is used to backpropagate the control error at p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Contr. Sys. Techn.
دوره 7 شماره
صفحات -
تاریخ انتشار 1999