Proportional plus integral controller has been widely used in permanent magnet synchronous motor (PMSM) drive system due to its simple structure while achieving zero steady-state error. However finding out the optimal parameters of the controller is not an easy task. For this reason this paper presents an automated optimization of proportional plus integral controller for permanent magnet synchronous motor drive system using genetic algorithms. Simulation and experimental results verify the effectiveness than ones of the trial and error method.

This paper presents a study of comparison of PWM power rectifier between 6 Pules and 12 Pules converter topology by small hydro turbine Generator (20kW) is power supply and Compare harmonics Current feed in the systems. Both converter connected Permanent Magnet Synchronous Generator (PMSG) and Voltage Regulator Control at 700 V. The control system by Decoupling Control and Conventional PI Control for control parameter PI value by Nicole-Ziegler method. Analysis for Performance of the system presented a mathematical model with Matlab/Simulink program. The result of simulation have value less than 5 percent of ripple voltage and Voltage Control continuously. Converter 12 pulse have harmonics Current value feed in the systems less than converter 6 pulse. This Case study can apply using PWM power rectifier control in future work

This paper presents the development of an initial rotor position estimation of permanent magnet synchronous motors (PMSM) without a position sensors drives with embedded digital signal controller. The principle of the estimation is based on induced voltage of electromagnetic flux by injecting high-frequency voltage at standstill. The controller is embedded digital signal controller (DSC) due to the small and cheap controller. Experimental results show that changing initial frequency capable of reliable.