A review of methods for adaptive neural network control of actuators based on a stepper motor is presented. A model of a universal mechatronic module with a stepper motor is defined. The investigated field-oriented classical proportional-integral-derivative, neural network radial basis, and neural network sigmoidal adaptive motor control algorithms are described. The results of modeling the digital control system for the universal mechatronic module at nominal parameters and under the influence of parametric and functional uncertainties are demonstrated.
Adaptive Neural Network Control of Space-Mission Universal Mechatronic Module
Russ. Aeronaut.
Russian Aeronautics ; 66 , 3 ; 458-468
2023-08-01
11 pages
Article (Journal)
Electronic Resource
English
Universal HIL Test Platform for Mechatronic Systems
Springer Verlag | 2017
|Adaptive control of mechatronic vehicle suspension systems
TIBKAT | 2011
|Small universal space platform: mission capabilities
British Library Conference Proceedings | 1996
|