Performance Comparison of Dynamic Responses & Speed Control of Switched Reluctance Motor Using PI & Fuzzy logic Controller

被引：0
|
作者：
Jegadeeswari, G. [1 ]
Ezhilarasi, G. [2 ]
Pramila, V. [3 ]
Vijayanand, J. [4 ]
Kirubadurai, B. [5 ]
机构：
[1] AMET Deemed Be Univ, Dept EEE, Chennai, Tamil Nadu, India
[2] Sri Sairam Inst Technol, Dept EEE, Chennai, Tamil Nadu, India
[3] Abdur Rahman Inst Sci & Tech, Dept EEE, Chennai, Tamil Nadu, India
[4] JNN Inst Engn, Dept EEE, Chennai, Tamil Nadu, India
[5] VelTech Dr Rangarajan Dr Sagunthala R&D Inst Sci, Dept Aeronaut Engn, Chennai, Tamil Nadu, India
来源：
2023 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS, ICEES | 2023年
关键词：
Switched Reluctance Motor; PI Controller; Fuzzy logic; ship propulsion; Hysteresis current controller; speed regulation and Torque ripple; PARTICLE SWARM OPTIMIZATION;
D O I：
10.1109/ICEES57979.2023.10110237
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The notion of employing the Switched Reluctance Motor (SRM) as a replacement to Ship Electric propulsion Technology is presented in this paper. The speed control of a switched reluctance motor (SRM) is created by several adaptive controllers to demonstrate the effectiveness of the SRM. The reliability of the switching reluctance motor is tested in this study by submitting it to five major criteria such as speed settling time, peak overshoot, rise time, and peak time. For the regulated purpose of the switched reluctance motor, two various controllers, namely standard PI controllers and fuzzy, logic controller are utilised, and their behaviours are compared and analysed. The work is entirely done in the MATLAB/SIMULINK platform. Based on the efficacy of the controllers, the results were analysed and summarised. The simulation findings reveal that the SRM-based drive system with fuzzy logic controller has increased transient and steady-state efficiency and stability.
引用
收藏
页码：674 / 680
页数：7
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