ADRC Load Side Speed Controller Parameters Adjustment Based on a Neural Model Applied for a Nonlinear Two-Mass Drive System
[ 1 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee
[2.2] Automation, electronics, electrical engineering and space technologies
2024
abstract
english
- Active Disturbance Rejection Control
- DC motor
- Radial Basis Function Neural Network
EN The paper is focused on improvements of conventional speed controller based on Active Disturbance Rejection Control (ADRC) applied for a two-mass electric drive system. The described ADRC control structure is based on load-side speed measurement. The paper compares conventional structure dynamics with overall system behavior in case plant parameters are changed. The proposed ADRC algorithm extension performs soft controller parameters adjustment to improve the dynamics and plant response. The presented approach accomplishes adaptation capabilities with the use of a Radial Basis Function Neural Network (RBFNN). The article compares the dynamic response of the plant controlled by a conventional ADRC algorithm and the designed neural adaptation extension through the conducted experimental tests.
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