@inproceedings{scholars10172,
           title = {Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {Proceedings of the IEEE International Conference on "Recent Trends in Electrical, Control and Communication", RTECC 2018},
           pages = {265--268},
            note = {cited By 6; Conference of 2018 IEEE International Conference on ""Recent Trends in Electrical, Control and Communication"", RTECC 2018 ; Conference Date: 20 March 2018 Through 22 March 2018; Conference Code:144641},
             doi = {10.1109/RTECC.2018.8625652},
            year = {2018},
        keywords = {Brushless DC motors; Model predictive control; Proportional control systems; Separators; System stability; Two term control systems, Bacteria foraging algorithm; Bacteria foraging algorithms; Butterworth filter design; Filter designs; Internal model control; Particle swarm; Particle swarm optimization; Proportional integral derivatives; Proportional- integral-derivative; Swarm optimization, Particle swarm optimization (PSO)},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062525487&doi=10.1109\%2fRTECC.2018.8625652&partnerID=40&md5=789e31719387723da6726e6312ba463a},
        abstract = {Three-Phase Separators are used to separate well crudes into three portions; water, oil, and gas. A suitable control system should be in place to ensure the optimum function of the Three-Phase Separator. The current PID tuning technique does not provide an optimum system response of the separator. Overshoot response, offset, steady-state error and system instability are some of the problems faced. Besides, the current method used is purely based on trial and error which is time consuming. There is room for improvement of the current PID tuning technique. An artificial intelligence (AI) PID tuning technique called Particle Swarm Optimization (PSO) is introduced to improve the system response of the Three-Phase Separator. The PSO algorithm mimics the behaviour of bird flocking and fish schooling striving for its global best position. In our case, the global best position is replaced with the optimized PID tuning parameters for the separator. The PSO algorithm has been used in several other applications such as the Brushless DC motor and in the Control Ball Beam system. It has proven to be an effective tuning technique. Tuning of the Three-Phase Separator via PSO could prove to be an effective solution for Oil Gas industries. {\^A}{\copyright} 2018 IEEE.},
          author = {Sathasivam, L. and Elamvazuthi, I. and Khan, M. K. A. A. and Parasuraman, S.},
            isbn = {9781538643099}
}