Authors:
L. M. Grzesiak
1
and
T. Tarczewski
2
Affiliations:
1
Warsaw University of Technology, Poland
;
2
Nicolaus Copernicus University, Poland
Keyword(s):
Artificial Neural Network, Load Torque Feedforward, State Feedback Controller, 3-Level Neutral Point Clamped Inverter, LC Filter, Permanent Magnet Synchronous Motor, Disturbance Observer.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Neural Networks Based Control Systems
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Modeling
Abstract:
This paper presents designing process of the control system with discrete state feedback and neural network based load torque feedforward for permanent magnet synchronous motor fed by true sine wave 3-level neutral point clamped inverter with an output LC filter. Our main objective is to reduce the effect of load torque changes and to improve dynamic behaviour of the motor during load changing. The full state feedback algorithm has been chosen to control the angular velocity of the motor and to provide true sine wave of the input motor voltages. It was found that gains of the controller and feedforward path are non-stationary and depends on the angular velocity. In such a case linearization and decoupling process of the motor with LC filter is not needed. Simulation results (at the level of 3kW) illustrate the proposed approach.