Real time non linear constrained model predictive control of a greenhouse

M. Y. El Ghoumari; H. J. Tantau; D. Megas; J. Serrano

Real time non linear constrained model predictive control of a greenhouse

M. Y. El Ghoumari, H. J. Tantau, D. Megas, J. Serrano

Department of Telecommunications and Systems Engineering

Research output: Contribution to journal › Article › Research › peer-review

11 Citations (Scopus)

Abstract

This paper describes the application of predictive control to the temperature regulation in agricultural processes. The main aim is to achieve climatic control of a greenhouse built in the Institute for Horticultural and Agricultural Engineering (ITG) of the University of Hannover (Germany). The MPC controller implemented here has the characteristic to take in account constraints in both manipulated and controlled variables using on-line linearisation, with very low computational burden. By means of a real time experiment, important advantages of the MPC algorithm are demonstrated, performance and mainly saving energy, using a soft optimal control effort. This controller has been compared with an adaptive PID controller.

Original language	American English
Pages (from-to)	61-65
Number of pages	5
Journal	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	15
Issue number	1
Publication status	Published - 1 Jan 2002

Keywords

Agricultural processes
Model predictive control
Real-time control

Cite this

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AB - This paper describes the application of predictive control to the temperature regulation in agricultural processes. The main aim is to achieve climatic control of a greenhouse built in the Institute for Horticultural and Agricultural Engineering (ITG) of the University of Hannover (Germany). The MPC controller implemented here has the characteristic to take in account constraints in both manipulated and controlled variables using on-line linearisation, with very low computational burden. By means of a real time experiment, important advantages of the MPC algorithm are demonstrated, performance and mainly saving energy, using a soft optimal control effort. This controller has been compared with an adaptive PID controller.

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Real time non linear constrained model predictive control of a greenhouse

Abstract

Keywords

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