Design of PID-Fuzzy for Speed Control of Brushless DC Motor in Dynamic Electric Vehicle to Improve Steady-State Performance

被引：0

作者：

Jaya, Arman ^{[1
]}

Purwanto, Era ^{[1
]}

Fauziah, Melinda Badriatul ^{[1
]}

Murdianto, Farid Dwi ^{[1
]}

Prabowo, Gigih ^{[1
]}

Rusli, Muhammad Rizani ^{[1
]}

机构：

[1] Elect Engn Polytech Inst Surabaya, Dept Elect Engn, Surabaya, Indonesia

来源：

2017 INTERNATIONAL ELECTRONICS SYMPOSIUM ON ENGINEERING TECHNOLOGY AND APPLICATIONS (IES-ETA) | 2017年

关键词：

Brushless DC (BLDC) Motor; PID Controller; Fuzzy Logic; PID-Fuzzy; Electric Vehicle;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Brushless DC Motor is a three phase permanent magnet motor that requires DC voltage as its supply. This kind of motor is widely used in electric vehicles due to high efficiency and high torque. Unfortunately, speed control method of brushless DC motor is still quite difficult if applied to electric vehicle. Electric vehicle that uses brushless DC motor works on dynamic load system with the varied set point. The use of conventional PID controller can't be applied to dynamic load system. If this controller still be applied, the system response to steady state will be long enough and cause the motor has a bad performance. The use of PID-Fuzzy is the solution to solve this problem. Simple PID algorithm and fuzzy logic in case of PID parameter tuning are expected to maintain the steady state condition of brushless DC motor speed at varied set point and dynamic load condition. So, the brushless DC motor performance will be improved.

引用

页码：179 / 184

页数：6

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