Chapter 14
Control Strategies of Greenhouse Climate
for Vegetables Production
Irineo L. López-Cruz, Efrén Fitz-Rodríguez,
Juan Carlos Torres-Monsivais, Elmer Cesar Trejo-Zúñiga,
Agustín Ruíz-García and Armando Ramírez-Arias
Contents
14.1 PID Control................................................................................................................... 401
14.2 Optimal Control............................................................................................................ 402
14.2.1 Problem Statement .......................................................................................... 402
14.2.2 Solution Methods ............................................................................................ 404
14.2.3 Receding Horizon Optimal Control ............................................................... 406
14.2.4 Model Predictive Control ............................................................................... 407
14.2.5 Robust Control ................................................................................................ 408
14.2.6 Adaptive Control............................................................................................. 408
14.2.7 Feedback and Feedforward Control ............................................................... 409
14.2.8 Multiobjective Optimization........................................................................... 410
14.3 Intelligent and Soft Computing Control ...................................................................... 411
14.3.1 Fuzzy Control.................................................................................................. 412
14.3.2 Neural Control ................................................................................................ 413
14.3.3 Evolutionary and Bio-Inspired Control.......................................................... 415
References................................................................................................................................ 415
14.1 PID Control
The most extended control in the greenhouse industry across the world is the
classical Proportional-Integral-Derivative control (PID) (Ogata 2002; Kamp and
Timmerman 1996; Bakker et al. 1995; Hanan 1998). The greenhouse environment
is a complex system with large lag, multiple-inputs and multiple-outputs (MIMO),
nonlinear and difficult to model mathematically, and therefore even the implementation of classical control methods has been found difficult (Wang et al. 2012).
The greenhouse climate control is challenging due to highly nonlinear interactions
I. L. López-Cruz (&) Á E. Fitz-Rodríguez Á J. C. Torres-Monsivais Á E. C. Trejo-Zúñiga Á
A. Ruíz-García Á A. Ramírez-Arias
Posgrado en Ingeniería Agrícola y uso integral del agua, Universidad Autónoma Chapingo,
Carretera México-Texcoco, Km 38.5 56230 Texcoco, Mexico
e-mail: ilopez@correo.chapingo.mx
R. Guevara-Gonzalez and I. Torres-Pacheco (eds.), Biosystems Engineering:
Biofactories for Food Production in the Century XXI, DOI: 10.1007/978-3-319-03880-3_14,
Ó Springer International Publishing Switzerland 2014
401
Control Strategies of Greenhouse Climate
for Vegetables Production
Irineo L. López-Cruz, Efrén Fitz-Rodríguez,
Juan Carlos Torres-Monsivais, Elmer Cesar Trejo-Zúñiga,
Agustín Ruíz-García and Armando Ramírez-Arias
Contents
14.1 PID Control................................................................................................................... 401
14.2 Optimal Control............................................................................................................ 402
14.2.1 Problem Statement .......................................................................................... 402
14.2.2 Solution Methods ............................................................................................ 404
14.2.3 Receding Horizon Optimal Control ............................................................... 406
14.2.4 Model Predictive Control ............................................................................... 407
14.2.5 Robust Control ................................................................................................ 408
14.2.6 Adaptive Control............................................................................................. 408
14.2.7 Feedback and Feedforward Control ............................................................... 409
14.2.8 Multiobjective Optimization........................................................................... 410
14.3 Intelligent and Soft Computing Control ...................................................................... 411
14.3.1 Fuzzy Control.................................................................................................. 412
14.3.2 Neural Control ................................................................................................ 413
14.3.3 Evolutionary and Bio-Inspired Control.......................................................... 415
References................................................................................................................................ 415
14.1 PID Control
The most extended control in the greenhouse industry across the world is the
classical Proportional-Integral-Derivative control (PID) (Ogata 2002; Kamp and
Timmerman 1996; Bakker et al. 1995; Hanan 1998). The greenhouse environment
is a complex system with large lag, multiple-inputs and multiple-outputs (MIMO),
nonlinear and difficult to model mathematically, and therefore even the implementation of classical control methods has been found difficult (Wang et al. 2012).
The greenhouse climate control is challenging due to highly nonlinear interactions
I. L. López-Cruz (&) Á E. Fitz-Rodríguez Á J. C. Torres-Monsivais Á E. C. Trejo-Zúñiga Á
A. Ruíz-García Á A. Ramírez-Arias
Posgrado en Ingeniería Agrícola y uso integral del agua, Universidad Autónoma Chapingo,
Carretera México-Texcoco, Km 38.5 56230 Texcoco, Mexico
e-mail: ilopez@correo.chapingo.mx
R. Guevara-Gonzalez and I. Torres-Pacheco (eds.), Biosystems Engineering:
Biofactories for Food Production in the Century XXI, DOI: 10.1007/978-3-319-03880-3_14,
Ó Springer International Publishing Switzerland 2014
401