Constrained predictive control of a greenhouse

A scheme for temperature control of a greenhouse is presented. The present work proposes an approach based on a combination of two different control schemes: Feedback Linearization (FL) and standard linear Model Predictive Control (MPC), using their advantages. The treated greenhouse is considered a non-linear Single-Input-Single-Output process and subject to strong external disturbances. Since the methodology used for solving the MPC + FL approaches generally leads to an optimization problem subject to state-dependent non-linear constraints, an alternative for its implementation is discussed. Two control techniques are compared, namely MPC + FL and Non-linear Model Predictive Control (NLMPC).