A Review on Artificial Intelligence Techniques in Electrical Drives

被引:0
作者
Sakunthala, S. [1 ]
Kiranmayi, R. [2 ]
Mandadi, P. Nagaraju [3 ]
机构
[1] JNTUA Univ, Dept EEE, JNTUACEK Kalikiri, Ananthapuram, India
[2] JNTUA Univ, Dept EEE, Ananthapuram, India
[3] JNTUA Univ, Dept EEE, SITAMS, Ananthapuram, India
来源
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON) | 2017年
关键词
Artificial Intelligence; Neural Network (NN); Fuzzy Logic (FL); Genetic Algorithm(GA);
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
Present days, industries are highly increasing and demanding process automation in all areas. Automation gives better results in quality, increased production and reduced costs. Use of changeable speed drives for industrial applications is one way to generate energy and lots of it. With wide options which are open to engineers for selecting proper drive system, one can look forward to an era where every demand in the industry will be driven by systematic and good drives. But for this drives speed controlling and reduction in torque ripples is also important. To control speed and torque of these electric drives artificial intelligence techniques (AI) is most important. These paper reviews brief descriptions of intelligence techniques are Neural Networks (NN), Fuzzy Logic (FL) and Genetic Algorithms(GA) by implementing these intelligence techniques we can optimize the problem to perform better and more reliable.
引用
收藏
页码:11 / 16
页数:6
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