Nonlinear model-based parameter estimation and stability analysis of an aero-pendulum subject to digital delayed control

• Published in: International journal of dynamics and control Vol. 5; no. 3; pp. 629 - 643
• Main Authors: Habib, Giuseppe, Miklos, Akos, Enikov, Eniko T., Stepan, Gabor, Rega, Giuseppe
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2017; Springer Nature B.V
• Subjects: Active control; Complexity; Control; Control and Systems Theory; Control stability; Control theory; Damping; Digitization; Dynamical Systems; Engineering; Feedback loops; Mathematical models; Parameter estimation; Predictive control; Processors; Stability analysis; Time lag; Vibration; Digital control; Stability; Time delay; Position control; Act-and-wait; Aeropendulum
• ISSN: 2195-268X; 2195-2698
• DOI: 10.1007/s40435-015-0203-0

Digitization and time delay are known to modify the stability properties of feedback controlled systems. Although their effects have been widely investigated and they occur in most of the systems equipped with digital processors, they are usually neglected in industrial approaches, by virtue of the high sampling frequencies of modern processors. However, these approaches are not conservative with respect to stability. In this work, we investigate, first analytically, then numerically and experimentally, the stability properties of the so-called Aeropendulum. The Aeropendulum is a mechanical pendulum with a propeller at its free end. A motor, activating the propeller, allows an active control of the pendulum in a feedback loop. The system exhibits most of the difficulties encountered in more involved industrial robotic systems. The estimation of the parameter values is performed through a model-based estimation, which allows to successfully define damping coefficients of order zero, one and two. Stability charts obtained with different controllers are compared, showing the larger stability region obtainable with the act-and-wait controller under proper conditions, as predicted by the theory.