@inproceedings{scholars11236,
            year = {2019},
             doi = {10.1109/SCORED.2019.8896276},
            note = {cited By 10; Conference of 17th IEEE Student Conference on Research and Development, SCOReD 2019 ; Conference Date: 15 October 2019 Through 17 October 2019; Conference Code:154444},
           pages = {129--133},
         journal = {2019 IEEE Student Conference on Research and Development, SCOReD 2019},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           title = {Hybrid Fuzzy PID Controller for Pressure Process Control Application},
          author = {Anitha, T. and Gopu, G. and Nagarajapandian, M. and Devan, P. A. M.},
            isbn = {9781728126135},
        keywords = {Computer circuits; Controllers; Electric control equipment; Fuzzy logic; Hybrid systems; Proportional control systems; Three term control systems, Conventional controllers; Fuzzy logic control; Fuzzy logic controllers; Hybrid fuzzy PID controller; Performance analysis; PID controllers; Pressure system; Process-control applications, Process control},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075638738&doi=10.1109\%2fSCORED.2019.8896276&partnerID=40&md5=265c732be6a4cf53e6ab08f6c04dcccd},
        abstract = {Process of controlling pressure in process industries becomes difficult when the conventional controller is used because of not capable of handling delay time, rise time and steady-state error. So, in this work, the method of the combining the conventional controller with the optimised hybrid system is considered. In this hybrid system the combination of fuzzy logic controller and PID controller is taken for evaluation and performance analysis over the pressure process. Generally fuzzy controllers use a rule base to describe relationships between the variables that are used in the processes. The performance analysis is done for different conventional controllers like PID and fuzzy PID. The performance analysis for the controllers is based in considering conventional resultant parameters like rise time, peak overshoot and settling time. We proposed a hybrid fuzzy PID controller which utilises the properties and advantage of the fuzzy and PID controllers. The effectiveness of the Hybrid fuzzy PID controller designed is demonstrated in pressure process. {\^A}{\copyright} 2019 IEEE.}
}