Abstract
This study was conducted to explore ways to save energy focusing on
Temperature control through genetic algorithm (GA)based on the
Proportional Integral Derivation controller (PID) to obtain the best PID gain
parameters (kp, ki, kd) through which the settling time, steady state error, and
overshoot are improved, which showed better performance than using
traditional PID because of its fast and sharp control it provided. The best
results for the parameters were using integrated time absolute error (ITAE)as
a GA objective function where k [0.8598 0.0669 0]. However, by using
Integrated of absolute error(IAE), the best results obtained were k [12.9765
0.2534 0], It is possible to improve system’s response from using traditional
PID which is considered a long time (more than 25 seconds) as compared to
the PID with Genetic algorithm(GA) .
The study showed that the best results were obtained using the IAE as
an objective function for GA, as the system reached the stable state in the
shortest possible time.
Temperature control through genetic algorithm (GA)based on the
Proportional Integral Derivation controller (PID) to obtain the best PID gain
parameters (kp, ki, kd) through which the settling time, steady state error, and
overshoot are improved, which showed better performance than using
traditional PID because of its fast and sharp control it provided. The best
results for the parameters were using integrated time absolute error (ITAE)as
a GA objective function where k [0.8598 0.0669 0]. However, by using
Integrated of absolute error(IAE), the best results obtained were k [12.9765
0.2534 0], It is possible to improve system’s response from using traditional
PID which is considered a long time (more than 25 seconds) as compared to
the PID with Genetic algorithm(GA) .
The study showed that the best results were obtained using the IAE as
an objective function for GA, as the system reached the stable state in the
shortest possible time.
Keywords
cooling system
Genetic algorithm
Integration of absolute error (IAE)