Decentralized Control Design for Heating System in Multi-Zone Buildings Based on Whale Optimization Algorithm
Farazdaq R. Yaseen, Mina Qays Kadhim, Huthaifa Al-Khazraji, Amjad J. Humaidi · Journal Européen des Systèmes Automatisés · 2024
For improving the energy efficacy and control performance, integration of swarm optimization with controller design could successfully reach this objective.In this study, a comparative analysis has been conducted between two decentralized control structures based on optimized Proportional-Integral-Derivative (PID) and PID-Proportional (PID-P) controllers for optimal controlling of heating system in multi-zone building.Based on the energy balance equation, the mathematical dynamics model of the heating system is established in the building.In order to enhance and optimize the performances of both controllers, their design parameters are tuned based on Whale Optimization Algorithm (WOA).Two objectives have been considered in the optimization process of heating system.The first objective is to minimize the error in temperature, between the desired and real temperatures, based on IAE (Integral of Absolute Error) index, while the second objective is the minimization of the heat energy consumption.The normalization method has been used to adjust between the two differently-scaled objectives.Simulation results based on MATLAB reveal that the PID-P controller achieved better performance in terms of providing comfort indoor temperature with energy savings as compared to the PID controller.