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PID/Multi-Loop Control Strategy for Poultry House System Using Multi-Objective Ant Colony Optimization

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Two of the main constraints of managing the livestock development are the high temperature and the relative humidity. For this reason, it is indispensable to design an optimal controller able to decrease the heat stress inside the poultry house system. In this paper, a metaheuristic method, - Ant Colony Optimization (ACO) – has been adopted with the Proportional Integral Derivative (PID) controller to control and stabilize the set point of the internal temperature and the relative humidity for the poultry house system during the hot climates. The initial stability region of the proposed first feedback controller has been obtained by using the Routh criterion stability. Then, the ACO algorithm has been employed to generate the best parameters (Kp, Ki, Kd) using the four multi-objective performances: the criterion of Integrated Squared Error (ISE), Integrated Absolute Error (IAE), Integrated Time Absolute Error (ITAE) and Integrated Time Squared Error (ITSE). The simulation results obtained show a good performance in tracking the desired set point with the disturbed poultry house process.
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Ant Colony Optimization (ACO); PID Tuning; Poultry House Model; Control and Regulation; Multi-Objective Indices

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