Abstrait

Internal Model Control Schemes for PMSM Speed Regulation Using Fuzzy Adaptive System

K.Sivaramachandran, K.Thangarajan, A.Mohandoss

Induction motors are inexpensive and robust which plays a significant role in safe and efficient running of any industrial plant such as pumps, fans, and blowers to home appliances. Early detection of abnormalities in the motor would help to avoid a costly breakdown which improves the speed, efficiency, cost and life of the motor. In this paper, the three phases brushless direct current motor (BLDC) uses a modified vector control unit. Unlike field oriented control (FOC), a modified vector control unit does not require any current regulator, PWM signals generator and a consequence timers. FOC is very sensible to the parameters like torque and flux. The proposed motor solution designs the BLDC with minimal pulsating torque and is more cost effective. A modified Vector control unit have made possible the application of induction motors in high performance applications. The speed regulation problem for permanent motor synchronous motor (PMSM) system under vector control framework is studied. A speed regulation scheme based on standard internal model scheme has been designed. It has been designed based on the difference between the speed and current. The linear adaptive law has been developed by analysing relationship between the internal model and identified inertia. A fuzzy adaptive law based on IMC method is developed based on experimental test. It can be able to automatically tune up the parameter of speed controller of identified inertia. In this case, the two different type of adaptive law has been proposed.