Robust Speed Control of Uncertain Two-Mass System

Abstract

The main purpose of this work is to present a robust speed control structure for a two-mass system. The tested system consists of a PI controller with two additional feedback. The coefficients of the control system are selected using a pattern-search optimization method in order to obtain robustness to changes in the system parameters. The control system requires information about non-measurable state variables. For this purpose, it is proposed to use a multilayer observer. In order to show the advantages of the MLO system, this article also presents comparative studies with a classical observer. A number of simulation and experimental tests are carried out. The obtained results confirmed a much higher quality of control in the system cooperating with a multilayer observer compared to the system with a classical observer.

Adaptive Sliding Mode Control Based on a Radial Neural Model Applied for an Electric Drive with an Elastic Shaft

“…As a result, the response of the system can be characterized by substantial overshoots with no oscillation damping capabilities. One way to tackle this issue is to provide additional feedback to the control structure [50]. Information about other state variables can enable the algorithm to minimize the discrepancy between the speed of the motor and the load machine.…”