Model predictive control of diffusion-reaction processes
نویسندگان
چکیده
منابع مشابه
Economic Model Predictive Control of Transport-Reaction Processes
This work focuses on the development of economic model predictive control (EMPC) systems for transportreaction processes described by nonlinear parabolic partial differential equations (PDEs) and their applications to a nonisothermal tubular reactor where a second-order chemical reaction takes place. The tubular reactor is modeled by two nonlinear parabolic PDEs. Galerkin’s method is used to de...
متن کاملPredictive control of transport-reaction processes
This work focuses on the development of computationally efficient predictive control algorithms for nonlinear parabolic and hyperbolic PDEs with state and control constraints arising in the context of transport-reaction processes. We first consider a diffusion-reaction process described by a nonlinear parabolic PDE and address the problem of stabilization of an unstable steady-state subject to ...
متن کاملDistributed nonlinear control of diffusion–reaction processes
In this work, we focus on distributed control of quasi-linear parabolic partial differential equations (PDEs) and address the problem of enforcing a prespecified spatio-temporal behaviour in the closed-loop system using nonlinear feedback control and a sufficiently large number of actuators and sensors. Under the assumption that the desired spatio-temporal behaviour is described by a ‘target pa...
متن کاملModel predictive control of large scale processes
Model predictive control is a receding horizon control policy in which a linear or quadratic program with linear constraints is solved on-line at each sampling instance. An algorithm is developed that allows quick computation of suboptimal control moves. The linear constraint set is approximated by an ellipsoid and a change of variables is performed so that a solution may be computed eciently ...
متن کاملControlling Nonlinear Processes, using Laguerre Functions Based Adaptive Model Predictive Control (AMPC) Algorithm
Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control continuous stirred tank rea...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chemical Industry and Chemical Engineering Quarterly
سال: 2005
ISSN: 1451-9372,2217-7434
DOI: 10.2298/ciceq0501010d