DECENTRALIZED FEEDBACK CONTROL OF SMART LIGHTING SYSTEMS

This paper presents a framework for designing controllers for self-commissioning smart lighting systems with plug-and-play capability. A class of decentralized feedback control methods is proposed for this purpose. Theoretical results for stability and convergence of the proposed algorithms are presented. Further, an automated self-commissioning algorithm is designed to minimize re-identification efforts necessary for the decentralized controller in case of a change in the lighting configuration (e. g. the addition of a new fixture to an existing space). The implementation of this algorithm demonstrates significant reduction in the commissioning effort. Finally, centralized, decentralized and consensus-based control algorithms are implemented on an experimental adaptive lighting testbed. The performance of the decentralized methods is shown to be comparable to that of the centralized controller.