A review on artificial intelligence techniques in electrical drives: Neural networks, fuzzy logic, and genetic algorithm

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.