Abstract:
The objective of the thesis is to control the temperature and the relative humidity of the room under the standard comfortable for living and doing activities. This thesis designs the control system of temperature and relative humidity for finding the optimal gains of PID
controller using the metaheuristic optimization methods. In the tuning gains, ant colony optimization (ACO) and symbiotic organism search (SOS) applied to find the optimal gains of PID controller compared to the ZieglerNichols and the pole placement method. The
experimental designed is constructed with air conditioners, adjusting the compressor speed, heating, increasing or decreasing the temperature and humidifying system, increasing relative humidity in the room. The testing room has dimension as 1.45 meters width, 1.8 meters length and 2.48 meters height. In simulation system of temperature control case, the results show that the optimal of PID controller with ACO are K p = 2.650 Ki = 0.022 and Kd = 0.001. The system is able to control the temperature to the set point which is a rise time at 148 seconds. In controlling the relative humidity the optimal gain parameters with SOS algorithm which have K p = 1.858
Ki = 0.0276 and Kd = 0.001. The result shows that a rise time is at 92 seconds, efficiently. Then, the gains are applied to the real comfortable room. In summary, the result show that the control system is able to regulate the temperature and relative humidity, effectively.