Neuroprotection and Timely Troubleshooting of Electric Drive Equipment
DOI:
https://doi.org/10.25728/assa.2018.18.1.573Keywords:
neural network, extended Kalman filter, fuzzy logic, genetic algorithm, induction motor, asynchronous electric driveAbstract
The article discusses the neurodiagnostics drives with the prediction of the future fault is a relevant task to avoid failure of electric motors and actuators. Such systems neurodiagnostics increase the reliability and safety of operation, anticipating contingencies. An important aspect in the management of complex dynamic objects designed to operate in harsh operating conditions, such as aggressive, explosive and dusty environments, extreme temperatures, increased vibration, is the use of real sensors. The use of state observers in such facilities will improve the operational reliability of the electric drive, avoid shock currents, reduce weight and size characteristics, etc. In recent years, there are high requirements for modern control systems of electric drives, namely: accurate speed control, maintaining high torque at low control speeds, limiting the starting and shock currents, high dynamic characteristics, high signal processing accuracy, improved coordinate accuracy.