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87 I S M O S A T, Proceeding International Symposium For Modern School Development, ....
Figure 5. Rise time and Settle time of the simulation results PID-PSO with LDIW.
The simulation results show that the control system response curves correspond-
ing to the set point 40
o
. Rise time is reached at the 7:18 time simulation and settle time at
15.76 time simulation, as in Figure 5, where the X axis is time simulation and the Y axis is
in units of temperature
o
C.When the setpoint is reached and the control system running,
Error generated 0:18. Overshoot does not occur when raise the target because the PSO
with LDIW better methods for changing the
value of the gain Error, ΔError and output so PWM value given is not too high. The follow-
ing comparison table PSO simulation results without and with LDIW.
Table 1. Comparison of the simulation results PSO
Setpoint
PSO ixed W = 0.4 PSO with LDIW
0.4W0.9 Rise
time Settle
time Error
Rise ime
Settle time
Error 40
7.63 27.74
0.26 7.18 15.76
0.18
6. Conclusion
PID controller based on PSO can be applied to a prototype plant temperature
control with LM35 temperature sensor as a feedback control system through a port con-
nected arduino serial ADC integrated with Matlab-Simulink. Optimization results ex-
pelled through PWM port arduino to control
the heater and blower, so that the deined set point temperature can be achieved steady
state. On set point temperature of 40
o
C, the average value obtained error 0.18, com-
pared with manual PID tuning is 0.78 and the PID-PSO ixed inertia 12.26.
The use of PID controller based on PSO with LDIW method shows faster perfor-
mance, with rise time 7.18 ms, settle time 15.76 ms compared with the results of the
PID control - PSO ixed Inertia, rise time is reached at 7.63 ms, settle time 27.74 ms.
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