Articles
MODEL BASED DESIGN OF OPTIMAL MULTIVARIABLE CLIMATE CONTROL SYSTEMS
Article number
248_36
Pages
301 – 306
Language
Abstract
The simulation results are presented of the application of the linear quadratic performance (LQP) control design methodology to a non-linear physical greenhouse climate system.
A multivariable greenhouse climate model designed by Bot (1983) is used for controller design and evaluation.
First, the non-linear model is linearised around a nominal working point.
Then, a LQP controller is designed for the linearized system.
Computer simulations, using the original non-linear system equations as pilot plant, demonstrate a very accurate controller behaviour compared to a control algorithm which is used in practice.
A multivariable greenhouse climate model designed by Bot (1983) is used for controller design and evaluation.
First, the non-linear model is linearised around a nominal working point.
Then, a LQP controller is designed for the linearized system.
Computer simulations, using the original non-linear system equations as pilot plant, demonstrate a very accurate controller behaviour compared to a control algorithm which is used in practice.
Authors
E.J. van Henten
Keywords
Online Articles (59)
