In this paper, a model predictive
control (MPC) strategy for nonlinear
homogeneous reaction systems is proposed. The nonlinear system is
first transformed to a linear parameter varying (LPV) system by means
of a linear transformation known as extents decomposition. The resulting
LPV system is further converted to a linear time invariant (LTI) system
by means of a parametric state feedback and feedforward control laws.
The use of this description results in linear MPC with a quadratic
performance index and nonlinear state parameter constraints. However,
based on the polytopic nature of the parameter of the LPV systems,
the constraints are transformed to a set of intersected polyhedrons.
The final result is a linear MPC problem with linear constraints that
can be easily converted and solved as a quadratic programming problem.
Finally, the performance of the control strategy is illustrated in
simulation and compared with a controller based on a constant-parameter
LTI model.