Optimized Kalman filters for sensorless vector control induction motor drives

This paper presents the comparison between optimized unscented Kalman filter (UKF) and optimized extended Kalman filter (EKF) for sensorless direct field orientation control induction motor (DFOCIM) drive. The high performance of UKF and EKF depends on the accurate selection of state and noise covariance matrices. For this goal, multi objective function genetic algorithm is used to find the optimal values of state and noise covariance matrices. The main objectives of genetic algorithm to be minimized are the mean square errors (MSE) between actual and estimation of speed, current, and flux. Simulation results show the optimal state and noise covariance matrices can improve the estimation of speed, current, torque, and flux in sensorless DFOCIM drive. Furthermore, optimized UKF present higher performance of state estimation than optimized EKF under different motor operating conditions

COMBINED ENERGY SYSTEMS BASED ON RENEWABLE ENERGY SOURCES

Ensuring the quality of energy supply to remote regions is relevant for grid companies and the state. One of the solutions to this problem is the use of renewable energy sources to generate electrical energy. Given this, the article considers an integrated approach to designing combined autonomous energy systems of an individual residential building based on renewable energy sources with the complete replacement of traditional energy carriers. In addition to the combined power system, the proposed solution implies using an insulated facade of the building, which will reduce heat loss by 1.5 times, compared with an un-insulated building. to increase the reliability of the energy supply, the project provides for a wind power plant, a backup diesel generator station and a battery pack with an inverter. Estimated calculations have shown that the probability of failure of the power system of this configuration is 3%. The conducted ecological and economic justification of the use of an autonomous combined power system allows us to conclude that 2.1 tons of conventional fuel per year is saved and the payback of the energy supply system for a period of up to 8 years. © 2023, MM publishing Ltd.. All rights reserved