Optimization of the auto temperature control system on the thermal oil heater system
using Ants Colony Optimization as a PID Controller tunning.
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Institusion
Universitas Darul ulum
Author
Mochamad Ali Fikri Haiqal, Fikri
Subject
HG Finance
Datestamp
2022-09-30 01:59:28
Abstract :
Optimization of the auto temperature control system on the thermal oil heater system using Ants Colony Optimization as a PID Controller tunning. Making a simulink tuning model for the PID temperature controller thermal oil heater based on Ants Colony Optimization in the 2013a Matlab program. Thermal oil heater simulation using Ants Colony Optimization as a PID Controller tunning is the best result among other design methods. Response to PID-ACO with Kp = 2.153, Ki = 1.466, Kd = 0.149, got overshot = 0.004, undershot = 0, at setting time 5.505 seconds. It is found that the PID-ACO controller is the best method with the smallest overshot at 0.004, the smallest undershot at 0 and the fastest setting time at 5.505 seconds.
Optimization of the auto temperature control system on the thermal oil heater system using Ants Colony Optimization as a PID Controller tunning. Making a simulink tuning model for the PID temperature controller thermal oil heater based on Ants Colony Optimization in the 2013a Matlab program. Thermal oil heater simulation using Ants Colony Optimization as a PID Controller tunning is the best result among other design methods. Response to PID-ACO with Kp = 2.153, Ki = 1.466, Kd = 0.149, got overshot = 0.004, undershot = 0, at setting time 5.505 seconds. It is found that the PID-ACO controller is the best method with the smallest overshot at 0.004, the smallest undershot at 0 and the fastest setting time at 5.505 seconds.
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