Optimization of PID Controller Parameters on Flow Rate Control System Using Multiple Effect Evaporator Particle Swarm Optimization
| Main Authors: | Dwi Argo, Bambang; Agricultural Engineering Department - Faculty of Agricultural Technology – Brawijaya University, Indonesia, Hendrawan, Yusuf; Agricultural Engineering Department - Faculty of Agricultural Technology – Brawijaya University, Indonesia, Firmanda Al Riza, Dimas; Agricultural Engineering Department - Faculty of Agricultural Technology – Brawijaya University, Indonesia, Jaya Laksono, Anung Nugroho; Agricultural Engineering Department - Faculty of Agricultural Technology – Brawijaya University, Indonesia |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
International Journal on Advanced Science, Engineering and Information Technology
, 2015
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| Subjects: | |
| Online Access: |
http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/491 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/491/pdf_117 |
Daftar Isi:
- 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).