Exponential Arx Model Based Generalized Predictive Control for Thermal Power Plants

نویسندگان

  • H. Peng
  • T. Ozaki
  • Y. Toyoda
  • K. Oda
چکیده

For nonlinear thermal power plants whose dynamics vary with load demand, a load-dependent exponential ARX (Exp-ARX) model which can exactly describes the nonlinear properties of the plants is presented. The Exp-ARX model requires only off-line identification. Based on the model, a constrained multivariable generalized predictive control (CMGPC) strategy is designed and implemented in a simulation of 375 MW thermal power plants. This CMGPC algorithm do not resort to on-line parameter estimation and can exactly predict the future outputs of the nonlinear plants, so it shown far better realizability and control performance than the usual GPC algorithm. Copyright © 2000 IFAC

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A nonlinear exponential ARX model-based multivariable generalized predictive control strategy for thermal power plants

This paper presents a modeling and control method for thermal power plants having nonlinear dynamics varying with load. First a load-dependent exponential ARX (Exp-ARX) model that can effectively describe the plant nonlinear properties and requires only off-line identification is presented. The model is then used to establish a constrained multivariate multi-step predictive control (ExpMPC) str...

متن کامل

The Rbf-arx Model Based Modeling and Predictive Control for a Class of Nonlinear Processes

This paper considers modeling and control problems of the non-stationary nonlinear processes whose dynamics depends on the working point. A hybrid RBF-ARX model-based predictive control (MPC) strategy without resorting to on-line parameter estimation for this kind of processes is presented. The RBF-ARX model is composed of the RBF networks and a rather general form of ARX model, which is identi...

متن کامل

RBF-ARX model-based nonlinear system modeling and predictive control with application to a NOx decomposition process

This paper considers the modeling and control problem for nonstationary nonlinear systems whose dynamic characteristics depend on time-varying working-points and may be locally linearized. It is proposed to describe the system behavior by the RBFARX model, which is an ARX model with Gaussian radial basis function (RBF) network-style coefficients depending on the working-points of a system. The ...

متن کامل

Multivariable Model Predictive Control for a Gas Turbine Power Plant

In this brief, constrained multi variable model predictive control (MPC) strategy is investigated for a GE9001E gas turbine power plant. So the rotor speed and exhaust gas temperature are controlled manipulating the fuel command and compressor inlet guide vanes position. A nonlinear model is introduced using conventional mathematical models and ARX identification procedure as gas turbine plant ...

متن کامل

Constrained Model Predictive Control Implementation for a Heavy-Duty Gas Turbine Power Plant

In this paper, model predictive control (MPC) strategy is implemented to a GE9001E gas turbine power plant. A linear model is developed for the gas turbine using conventional mathematical models and ARX identification procedure. Also a process control model is identified for system outputs prediction. The controller is designed in order to adjust the exhaust gas temperature and the rotor speed ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002