The permanent magnet synchronous motor has a large amount of merits which are a high degree of efficiency, high quality of torque, high density of electric power, high precision control, a high speed operation and so on. These merits cause the permanent magnet synchronous motor to be applied widely in industrial fields and for electric home appliances.
Recently, the sensorless method that need not position and speed sensor, is broadly studied for the application of permanent magnet synchronous motor. Because this manner could progress economical efficiency and confidence in motor control.
The vector control based on the magnetic flux control is used much for the precision control of a PM synchronous motor. In this approach, components of magnetic flux and torque are calculated by measuring phase current, and then torque could be indirectly controled by handling component current of torque.
This paper investigates a vector control method without speed sensor of permanent magnet synchronous motor. The electrical angle and motor speed which is essential in vector control is estimated from the full order state observer. The full order state observer consists of four state variables which are two stationary reference frame currents and two stationary reference frame back-EMFs. Since the mechanical variables tends to change rapidly and are hard to measure correctly, the state variables consists of only electrical variables.
This paper investigates the application of the Novel Adaptive Algorithm to the online estimate of the electrical parameters of permanent magnet synchronous motor. Estimated parameter compensate the speed error caused by the parameter errors. The performance of the proposed algorithm was verified through simulation and experiment. It shows that the electrical parameters was estimated efficiently and the speed error caused by the parameter error was compensated.