This article discusses the possibilities of improving the energy efficiency, quality and reliability of electric drive control using an adaptive neural network controller. Asynchronous motors, working in modern conditions, are under constant random effects of various kinds, and are non-linear technical objects. The use of classical methods of regulation of electric drives based on PID controllers leads to difficulties and uncertainties in the process of control, while intelligent methods based on adaptive neural controllers provide efficient energy saving in control. The efficiency of using an adaptive neural network controller in circuits with direct torque control of an asynchronous motor is considered. Described and justified the useful effect of the use of neural network controller in comparison with the control based on the PID controller. A tuned adaptive neural network controller provides an increase in the efficiency and energy saving of electric drives in industrial enterprises solving the actual problem of modern electric power industry.
The most common control system for a synchronous motor with permanent magnets is a vector control system. The construction of such a system has a number of difficulties, one of them is the need to have information about the current position of the rotor. Data on the position of the rotor can be obtained using sensors, or include a supervisor in the control system. The article describes an adaptive observer of the position and speed of the rotor of a synchronous motor with permanent magnets. This observer is used in the system of sensorless vector control of the electric drive. The presented version of the observer of the engine state is realized by creating a model in the Matlab Simulink software package. The results of experimental verification of the presented observer at the stand with the use of an engine with a power of 200 W are shown. The aim of the work is to develop an observer that is stable to changing drive parameters. This is achieved by using a relay unit in the view of the observer, which implements the slip mode.
The article presents the results of studying the effect of interference on the sliding mode observer. The effect of interference in the lines feeding the engine is evaluated. The measured interference is present in the current signal. The operation of a sliding observer of the position and speed of the rotor of a permanent magnet synchronous motor is described. This observer is used as part of a sensorless vector drive control system. The presented version of the motor state observer is implemented by creating a model in the Matlab Simulink software package and tested on the bench using a 200W motor. The aim of the work is to develop an observer who is resistant to drive parameter changes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.