Stabilization Based Networked Predictive Controller Design for Switched Plants

TL;DR

This paper presents a novel stabilization method for networked switched plants, specifically a DC motor, using LMIs and Cone Complementary Linearization to handle switching and packet loss effects.

Contribution

It introduces a new LMI-based approach combined with CCL technique for designing stabilizing controllers for switched NCS with network-induced uncertainties.

Findings

Successfully stabilizes a switched DC motor plant under network conditions.

Demonstrates effectiveness with simulations at different sampling times and switching scenarios.

Provides a systematic LMI-based design framework for networked switched systems.

Abstract

Stabilizing state feedback controller has been designed in this paper for a switched DC motor plant, controlled over communication network. The switched system formulation for the networked control system (NCS) with additional switching in a plant parameter along with the switching due to random packet losses, have been formulated as few set of non-strict Linear Matrix Inequalities (LMIs). In order to solve non-strict LMIs using standard LMI solver and to design the stabilizing state feedback controller, the Cone Complementary Linearization (CCL) technique has been adopted. Simulation studies have been carried out for a DC motor plant, operating at two different sampling times with random switching in the moment of inertia, representing sudden jerks.