Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system

Journal of Applied Research and Technology - Tập 15 - Trang 492-503 - 2017
G.M. Tamilselvan1, P. Aarthy1
1Department of EIE, Bannari Amman Institute of Technology, Sathyamangalam, India

Tài liệu tham khảo

Ahn, 2009, Online tuning fuzzy PID controller using robust extended Kalman filter, Journal of Process Control, 19, 1011, 10.1016/j.jprocont.2009.01.005 Alleyne, 1998, On the limitations of force tracking control for hydraulic active suspensions Cheng, 1996, Fuzzy control of a double-inverted pendulum, Fuzzy Sets and Systems, 79, 315, 10.1016/0165-0114(95)00156-5 Fukami, 1980, Some considerations on fuzzy conditional inference, Fuzzy Sets and Systems, 4, 243, 10.1016/0165-0114(80)90014-7 Gaeid, 2013, Optimal gain Kalman filter design with Dc motor speed controlled parameters, Journal of Asian Scientific Research, 3, 1157 Garcia-Benitez, 1993, Rule-based supervisory control of a two-link flexible manipulator, Journal of Intelligent & Robotic Systems, 7, 195, 10.1007/BF01257819 Guo, 2004, The application of the hybrid fuzzy control of the furnace, The Information of Microcomputer, 21, 106 Jwo, 2007, Adaptive fuzzy strong tracking extended Kalman filtering for GPS navigation, IEEE Sensors Journal, 7, 778, 10.1109/JSEN.2007.894148 Kobayashi, 1995, Estimation of absolute vehicle speed using fuzzy logic rule-based Kalman filter Kwon, 2006, Robust Kalman filtering with perturbation estimation process for uncertain systems, IEEE Proceedings – Control Theory and Applications, 153, 600, 10.1049/ip-cta:20050452 Sakthivel, 2011, Design of fuzzy logic controller for a spherical tank system and its real time implementation, International Journal of Engineering Research and Applications, 1, 934 Muniandy, 2015, Application of a self-tuning fuzzy PI–PD controller in an active anti-roll bar system for a passenger car, Vehicle System Dynamics, 53, 1641, 10.1080/00423114.2015.1073336 Wang, 2012, A self-tuning fuzzy PID control method of grate cooler pressure based on Kalman filter