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

One of the main constraints to manage the livestock development is the high temperature and relative humidity. For this reason, it’s indispensable to design an optimal controller able to reduce 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 in order to control and stabilize the set point of internal temperature and relative humidity for the poultry house system during the hot climates. The initial stability region of the first proposed feedback controller is obtained on the basis of the Routh criterion stability. Then, the ACO algorithm is employed to generate the optimum parameters (K p , K i , K d ) using the four multi-objective performance such that 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 shows a good performance in tracking the desired set point with the disturbed poultry house process.