Robust model predictive control and receding horizon based observer for a brushless DC drive.
Date of Issue2000
School of Electrical and Electronic Engineering
In this thesis, a state space predictive control scheme to provide high performance and robust positioning of a brushless DC motor drive is proposed. In this scheme, a rational function weighting factor is introduced into the cost function of the predictive controller. Our studies indicate that this weighting factor can be tuned to improve the robustness of the servo drive in terms of larger inertia mismatch bound than the generalized predictive control scheme. Based on the proposed control scheme, the relationships between the controller parameters and the properties of the closed loop system, including settling time of step response and the inertia mismatch bound, are investigated. Some tuning rules of the controller are summarized.
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Nanyang Technological University