Author/Authors :
Michael J. Kurtz and Michael A. Henson، نويسنده ,
Title Of Article :
Input-output linearizing control of constrained nonlinear processes
Latin Abstract :
An input output linearization strategy for constrained nonlinear processes is proposed. The system may
have constraints on both the manipulated input and the controlled output. The nonlinear control system
is comprised of: (i) an input-output linearizing controller that compensates for processes nonlinearities:
(it) a constraint mapping algorithm that transforms the original input constraints into constraints on the
manipulated input of the feedback linearized system; (iii) a linear model predictive controller that regulates
the resulting constrained linear system; and (iv) a disturbance model that ensures offset-lYee setpoint
tracking. As a result of these features, the approach combines the computational simplicity of input
output linearization and the constraint handling capability of model predictive control. Simulation results
for a continuous stirred tank reactor demonstrate the superior performance of the proposed strategy as
compared to conventional input-output linearizmg control and model predictive control techniques.
NaturalLanguageKeyword :
Nonlinear Processes , Feedback linearization , model predictive control:chemical reactor control , constrained control
JournalTitle :
Studia Iranica
