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Comparison of PID Controller Tuning Methods for Multi PMSM Angular Speed Synchronization
Ismail K.a, Rachmildha T.D.a, Rijanto E.b, Haroen Y.a, Ristiana R.a
a Departement of Electrical, Engineering Institut Teknologi Bandung, Bandung, Indonesia
b Research Centre for Electrical, Power and Mechatronics Indonesian Institute of Science, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.This paper discusses the comparison of the PID tuning method as multi PMSM system controller. The emphasis of this paper is to find a tuning method that has the best performance in speed synchronization, but other performances such as regulation, settling time and max overshoot are still considered. The PID tuning methods, Ziegler Nichols (ZN) and pole placement (PP) are simulated in two cases, namely by coupling constants (Kc) as variables and Kc included in the calculation of PID constants. The comparisons are done in MATLAB-Simulink® environment. The simulation results show that ZN with Kc included in the calculation has the best synchronization performance index (PI2), but has poor regulation performance index PI1. On the contrary, PP with Kc included in the calculation has a PI2 that is not good but has the best PI1. In PP with Kc as a variable, it has intermediate PI1and PI2[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Multi PMSM,Performance indices,Pid controller tuning,PID tuning,Pole placement,Speed synchronizations,Synchronization performance,Ziegler Nichols[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Multi PMSM,PID Tuning,Pole Placement,Synchronization,Ziegler Nichols[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICEVT.2018.8628421[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]