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Optimization of PID Controller Parameters on Flow Rate Control System Using Multiple Effect Evaporator Particle Swarm Optimization

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@article{IJASEIT491,
   author = {Bambang Dwi Argo and Yusuf Hendrawan and Dimas Firmanda Al Riza and Anung Nugroho Jaya Laksono},
   title = {Optimization of PID Controller Parameters on Flow Rate  Control System Using Multiple Effect Evaporator Particle  Swarm Optimization},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {5},
   number = {2},
   year = {2015},
   pages = {62--68},
   keywords = {PSO, PID, Evaporator, MEE, Inertia},
   abstract = {

This study aims to improve the performance of Proportional+Integral+Differential (PID) control to reduce the speed of the steam flow rate and search optimal points in the evaporation process of Multiple Effect Evaporator (MEE). Optimization of PID control tuning parameters using Particle Swarm Optimization (PSO) by adding a weighting factor of inertia is expected to handle nonlinear systems with evaporator undershoot response characteristics that are difficult to treat and improve response of the system with large overshoot, and long rise time. The results showed PSO is able to provide improved performance tuning PID control system to improve system response in MEE control system with a rise time of 0.01 seconds, 3.35% overshoot, settling time of 6.10 seconds and able respond plant undershoot MEE of 28.11%.The results show that, PSO with inertia weight w provides additional tuning better than PID control by ZN method of max criteria over shoot, rise time and settling time of 5.38%, 3.05 seconds, 10.1 seconds, compared to tuning PID control  method with PSO (3.35%, 0.01 seconds, 6.10 seconds).   

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=491},    doi = {10.18517/ijaseit.5.2.491} }

EndNote

%A Dwi Argo, Bambang
%A Hendrawan, Yusuf
%A Firmanda Al Riza, Dimas
%A Jaya Laksono, Anung Nugroho
%D 2015
%T Optimization of PID Controller Parameters on Flow Rate  Control System Using Multiple Effect Evaporator Particle  Swarm Optimization
%B 2015
%9 PSO, PID, Evaporator, MEE, Inertia
%! Optimization of PID Controller Parameters on Flow Rate  Control System Using Multiple Effect Evaporator Particle  Swarm Optimization
%K PSO, PID, Evaporator, MEE, Inertia
%X 

This study aims to improve the performance of Proportional+Integral+Differential (PID) control to reduce the speed of the steam flow rate and search optimal points in the evaporation process of Multiple Effect Evaporator (MEE). Optimization of PID control tuning parameters using Particle Swarm Optimization (PSO) by adding a weighting factor of inertia is expected to handle nonlinear systems with evaporator undershoot response characteristics that are difficult to treat and improve response of the system with large overshoot, and long rise time. The results showed PSO is able to provide improved performance tuning PID control system to improve system response in MEE control system with a rise time of 0.01 seconds, 3.35% overshoot, settling time of 6.10 seconds and able respond plant undershoot MEE of 28.11%.The results show that, PSO with inertia weight w provides additional tuning better than PID control by ZN method of max criteria over shoot, rise time and settling time of 5.38%, 3.05 seconds, 10.1 seconds, compared to tuning PID control  method with PSO (3.35%, 0.01 seconds, 6.10 seconds).   

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=491 %R doi:10.18517/ijaseit.5.2.491 %J International Journal on Advanced Science, Engineering and Information Technology %V 5 %N 2 %@ 2088-5334

IEEE

Bambang Dwi Argo,Yusuf Hendrawan,Dimas Firmanda Al Riza and Anung Nugroho Jaya Laksono,"Optimization of PID Controller Parameters on Flow Rate  Control System Using Multiple Effect Evaporator Particle  Swarm Optimization," International Journal on Advanced Science, Engineering and Information Technology, vol. 5, no. 2, pp. 62-68, 2015. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.5.2.491.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Dwi Argo, Bambang
AU  - Hendrawan, Yusuf
AU  - Firmanda Al Riza, Dimas
AU  - Jaya Laksono, Anung Nugroho
PY  - 2015
TI  - Optimization of PID Controller Parameters on Flow Rate  Control System Using Multiple Effect Evaporator Particle  Swarm Optimization
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 5 (2015) No. 2
Y2  - 2015
SP  - 62
EP  - 68
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - PSO, PID, Evaporator, MEE, Inertia
N2  - 

This study aims to improve the performance of Proportional+Integral+Differential (PID) control to reduce the speed of the steam flow rate and search optimal points in the evaporation process of Multiple Effect Evaporator (MEE). Optimization of PID control tuning parameters using Particle Swarm Optimization (PSO) by adding a weighting factor of inertia is expected to handle nonlinear systems with evaporator undershoot response characteristics that are difficult to treat and improve response of the system with large overshoot, and long rise time. The results showed PSO is able to provide improved performance tuning PID control system to improve system response in MEE control system with a rise time of 0.01 seconds, 3.35% overshoot, settling time of 6.10 seconds and able respond plant undershoot MEE of 28.11%.The results show that, PSO with inertia weight w provides additional tuning better than PID control by ZN method of max criteria over shoot, rise time and settling time of 5.38%, 3.05 seconds, 10.1 seconds, compared to tuning PID control  method with PSO (3.35%, 0.01 seconds, 6.10 seconds).   

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=491 DO - 10.18517/ijaseit.5.2.491

RefWorks

RT Journal Article
ID 491
A1 Dwi Argo, Bambang
A1 Hendrawan, Yusuf
A1 Firmanda Al Riza, Dimas
A1 Jaya Laksono, Anung Nugroho
T1 Optimization of PID Controller Parameters on Flow Rate  Control System Using Multiple Effect Evaporator Particle  Swarm Optimization
JF International Journal on Advanced Science, Engineering and Information Technology
VO 5
IS 2
YR 2015
SP 62
OP 68
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 PSO, PID, Evaporator, MEE, Inertia
AB 

This study aims to improve the performance of Proportional+Integral+Differential (PID) control to reduce the speed of the steam flow rate and search optimal points in the evaporation process of Multiple Effect Evaporator (MEE). Optimization of PID control tuning parameters using Particle Swarm Optimization (PSO) by adding a weighting factor of inertia is expected to handle nonlinear systems with evaporator undershoot response characteristics that are difficult to treat and improve response of the system with large overshoot, and long rise time. The results showed PSO is able to provide improved performance tuning PID control system to improve system response in MEE control system with a rise time of 0.01 seconds, 3.35% overshoot, settling time of 6.10 seconds and able respond plant undershoot MEE of 28.11%.The results show that, PSO with inertia weight w provides additional tuning better than PID control by ZN method of max criteria over shoot, rise time and settling time of 5.38%, 3.05 seconds, 10.1 seconds, compared to tuning PID control  method with PSO (3.35%, 0.01 seconds, 6.10 seconds).   

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=491 DO - 10.18517/ijaseit.5.2.491