Adaptive Fuzzy Self-Tuning PI Controller of Onboard Energy Storage System for Railway Braking Energy Recovery

被引：1
作者：
Eziani, Sadiq [1 ]
Ouassaid, Mohammed [1 ]
机构：
[1] Mohammed V Univ Rabat, Mohammadia Sch Engineers EMI, Engn Smart & Sustainable Syst Res Ctr, Rabat, Morocco
来源：
2019 INTERNATIONAL SYMPOSIUM ON ADVANCED ELECTRICAL AND COMMUNICATION TECHNOLOGIES (ISAECT) | 2019年
关键词：
Fuzzy control; PI controller; Energy efficiency; braking energy recovery; energy storage; supercapacitors (SC); REGENERATIVE BRAKING; MANAGEMENT; REDUCTION;
D O I：
10.1109/isaect47714.2019.9069709
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a Fuzzy Logic Self Tuning PI (FPI) controller is designed for a supercapacitor based energy storage system (ESS) in a railway traction system. The aim is to automatically tune the PI controller gains, by means of fuzzy rules, in order to enhance the dynamic performance of the power flow control. To demonstrate the effectiveness of the proposed technique, a simulation is carried out in the MATLAB/SIMULINK environment of the overall system. The results show that the proposed controller is able to achieve a good performance in terms of reference tracking and response time when compared with the conventional PI controller.
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页数：6
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