Paper Details

Nowadays, PMSM drive systems are being employed in many industrial applications ranging from low tomedium power because of their simple structures, ease of maintenance and efficiency. However the non-linear behaviorwhich arises mainly from motor dynamics and load characteristics and the presence of uncertainties makes control anextremely difficult task. So, the speed control technique should be adaptive and robust for better performance of thedrive. The conventional PID controllers are used to control speed of the drive. Various tuning techniques are employedsuch as Z-N tuning, Cohen- Coon, manual tuning etc. of which Z-N tuning is the most widely used method. Since, PIDcontrollers work well under linear operating conditions and fails when non-linearity arises. Therefore, ArtificialIntelligence techniques are being implemented to achieve better performance either in isolation i.e. Fuzzy, ANN, GA,PSO etc. or in hybrid as Artificial Neuro Fuzzy Inference System. This project work presents design and simulation of amodern approach of speed control of PMSM using ANFIS based speed controller. Hence an artificial intelligence controlstrategy namely ANFIS has been used as it requires only a reduced computation power while maintaining satisfactorystatic and dynamic performance and a good insensitivity to perturbations and parameter uncertainties. A model ofPMSM drive is simulated under various dynamic conditions like starting, load application and removal, speed reversal.The combined capability of Neuro Fuzzy Controller in handling uncertainties and learning process is proven to beadvantageous in modeling highly non-linear systems. The designed ANFIS based speed controller is presented to developa dynamic model of PMSM as it does not require the explicit mathematical model of the plant and automatically takescare of changing conditions as well. Hence ANFIS based speed controller gives better performance of the drive withlinear as well as non-linear load as compared to conventionally used Z-N tuned PID speed controller.

Abhishek Verma, Adarsh Singh, Anurag Agrawal, “SPEED CONTROL OF PMSM DRIVE USING ANFIS BASED SPEED CONTROLLER”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 9, pp. 425-435, September 2017.