A non-linear optimal greenhouse control problem with heating and ventilation

Review. Advantages and disadvantages of control theories applied in greenhouse climate control systems

“…Consequently, many researchers have applied simplified models for the non-linear problem, such as Ioslovich et al (1996), who designed a controller based on a simplified model of the crop growth with constraints on the control signals. The objective of this optimization was to take into account the cost of energy used by heating and ventilation systems.…”

Review. Advantages and disadvantages of control theories applied in greenhouse climate control systems

“…Consequently, many researchers have applied simplified models for the non-linear problem, such as Ioslovich et al (1996), who designed a controller based on a simplified model of the crop growth with constraints on the control signals. The objective of this optimization was to take into account the cost of energy used by heating and ventilation systems.…”

Open-Loop Optimal Temperature Control in Greenhouses

“…This holds for direct fired air heating systems, but is a rather course approximation of generally used hot water heating systems commonly used in Dutch horticultural practice. This model of the air temperature is the dynamic equivalent of the quasi steady-state used by Gutman et al (1993) and Ioslovich et al (1996).…”

“…The main feature of the former approach is that, heating is shifted from unfavourable periods with large energy losses to periods with smaller energy losses whilst requiring that during a predefined period of time an average temperature in the greenhouse is maintained. A model based optimal control approach has proven to be a suitable framework to tackle these kind of control problems (Bailey and Seginer, 1989;Gutman et al, 1993;Chalabi et al, 1996;Ioslovich et al, 1996). Chalabi et al (1996) have shown that this approach can be implemented on-line in a greenhouse with success.…”

Simple Tuning Rules for Feedforward Compensators Applied to Greenhouse Daytime Temperature Control Using Natural Ventilation

“…Focusing on automatic control for the inside air temperature of a greenhouse, previous works have been published in the literature in which different control techniques were tested or simulated. Some references to diverse works for air temperature control by means of natural ventilation are cited here: PID (Proportional-Integral-Derivative) control [2][3][4][5], adaptative control (multirate) [6][7][8], multivariable and nonlinear Model Predictive Control (MPC) [9][10][11], optimal control [12], robust Quantitative Feedback Theory (QFT) control [13,14], neural network control [15,16], event-based control [17,18], hybrid control [19], and fuzzy logic control [20,21].…”

Review. Advantages and disadvantages of control theories applied in greenhouse climate control systems

“…Consequently, many researchers have applied simplified models for the non-linear problem, such as Ioslovich et al (1996), who designed a controller based on a simplified model of the crop growth with constraints on the control signals. The objective of this optimization was to take into account the cost of energy used by heating and ventilation systems.…”

Open-Loop Optimal Temperature Control in Greenhouses

“…This holds for direct fired air heating systems, but is a rather course approximation of generally used hot water heating systems commonly used in Dutch horticultural practice. This model of the air temperature is the dynamic equivalent of the quasi steady-state used by Gutman et al (1993) and Ioslovich et al (1996).…”

“…The main feature of the former approach is that, heating is shifted from unfavourable periods with large energy losses to periods with smaller energy losses whilst requiring that during a predefined period of time an average temperature in the greenhouse is maintained. A model based optimal control approach has proven to be a suitable framework to tackle these kind of control problems (Bailey and Seginer, 1989;Gutman et al, 1993;Chalabi et al, 1996;Ioslovich et al, 1996). Chalabi et al (1996) have shown that this approach can be implemented on-line in a greenhouse with success.…”

Simple Tuning Rules for Feedforward Compensators Applied to Greenhouse Daytime Temperature Control Using Natural Ventilation

“…Focusing on automatic control for the inside air temperature of a greenhouse, previous works have been published in the literature in which different control techniques were tested or simulated. Some references to diverse works for air temperature control by means of natural ventilation are cited here: PID (Proportional-Integral-Derivative) control [2][3][4][5], adaptative control (multirate) [6][7][8], multivariable and nonlinear Model Predictive Control (MPC) [9][10][11], optimal control [12], robust Quantitative Feedback Theory (QFT) control [13,14], neural network control [15,16], event-based control [17,18], hybrid control [19], and fuzzy logic control [20,21].…”

Review. Advantages and disadvantages of control theories applied in greenhouse climate control systems

“…Consequently, many researchers have applied simplified models for the non-linear problem, such as Ioslovich et al (1996), who designed a controller based on a simplified model of the crop growth with constraints on the control signals. The objective of this optimization was to take into account the cost of energy used by heating and ventilation systems.…”

Open-Loop Optimal Temperature Control in Greenhouses

“…This holds for direct fired air heating systems, but is a rather course approximation of generally used hot water heating systems commonly used in Dutch horticultural practice. This model of the air temperature is the dynamic equivalent of the quasi steady-state used by Gutman et al (1993) and Ioslovich et al (1996).…”

“…The main feature of the former approach is that, heating is shifted from unfavourable periods with large energy losses to periods with smaller energy losses whilst requiring that during a predefined period of time an average temperature in the greenhouse is maintained. A model based optimal control approach has proven to be a suitable framework to tackle these kind of control problems (Bailey and Seginer, 1989;Gutman et al, 1993;Chalabi et al, 1996;Ioslovich et al, 1996). Chalabi et al (1996) have shown that this approach can be implemented on-line in a greenhouse with success.…”

Simple Tuning Rules for Feedforward Compensators Applied to Greenhouse Daytime Temperature Control Using Natural Ventilation

“…Focusing on automatic control for the inside air temperature of a greenhouse, previous works have been published in the literature in which different control techniques were tested or simulated. Some references to diverse works for air temperature control by means of natural ventilation are cited here: PID (Proportional-Integral-Derivative) control [2][3][4][5], adaptative control (multirate) [6][7][8], multivariable and nonlinear Model Predictive Control (MPC) [9][10][11], optimal control [12], robust Quantitative Feedback Theory (QFT) control [13,14], neural network control [15,16], event-based control [17,18], hybrid control [19], and fuzzy logic control [20,21].…”