NEW ADAPTIVE SPEED CONTROLLER FOR IPMSM DRIVE

Electrical and Electronics Engineering

For controlling nonlinear, time-varying, or ill-defined systems, artificial intelligent controllers have proven to be superior to conventional controllers in design and performance. This project presents a novel adaptive-network-based fuzzy inference system (ANFIS) for the speed control of interior permanent magnet synchronous motor (IPMSM) drives. The variation of load causes variation in current and speed. The speed of the motor can be calculated using the encoder, which is directly fed to the microcontroller and the controller displays the corresponding revolution per minute through a LCD. The Hall Effect sensor senses the current; this analog output is converted into a digital signal using ADC and is fed to the microcontroller. The current and speed is given as the parameters to microcontroller which consists NFC. This NFC takes the change in current and speed as reference and using the embedded C-program determines the width of pulse to maintain a constant speed of the IPMSM. Based on the output of the microcontroller the PWM drive generates the pulse which is given to the inverter, thereby, generating an AC output. The ac output is given to the motor in order to maintain a constant speed.

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