Modeling and Sensorless Control of a Permanent Magnet Generator Based on an Adaptive Estimator Scheme

Recently, several sensorless control technologies have been employed in industrial systems due to the ability of these technologies to estimate uncertain parameters and inaccessible measurements. Furthermore, sensorless technology reduces complexity and thus reduces costs, as well as providing higher reliability than traditional sensors in markets. This study proposes an efficient controller that controls a variable speed of permanent magnet generator based on an adaptive estimator scheme under uncertain armature resistance and unknown generator torque. The proposed scheme estimates the uncertain parameters and state variables of the system, which provides accurate assessment for feedback control. This research paper takes into consideration the combination of inter sampled concept, time delay due to electrical time constant and high gain approach, although these are not specifically discussed, yet according to our knowledge. The proposed estimator is robust against sampling interval, time delay and it can instantaneously access the output state variable to solve the problem of estimation processes under some persistent excitation conditions. The proposed estimator has been tested with a sensorless controller applied to a 5.5 kW variable speed permanent magnet generator. The proposed controller plays an active role in creating a compromise solution between the sampling time of 1.5 ms and the time delay of 10 ms with appropriate design parameters. Simulink model and the corresponding practical connection of sensorless control technology based on an adaptive estimator scheme have been done, successfully.