Title: Adaptive decentralised control of parallel DC-DC converter systems

Authors: Jing Zhou

Addresses: Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, Hawthorn, 3122 Victoria, Australia

Abstract: In this paper, we develop a robust controller for parallel DC-DC converter system by combining the adaptive backstepping technique and decentralised control. The voltages and currents of all converters are coupled with each other. The parallel DC-DC converter system is modelled as a large-scaled state-space system with interconnection between subsystems. Each local controller, designed simply based on the local model of each subsystem by using adaptive backstepping technique, only employs local information to generate control signals. Each of them is robust against the interactions, such that each local controller does not need full knowledge of the overall network and operates as a single power converter providing power to the load. The robustness of decentralised adaptive controllers is established. It is shown that the designed decentralised adaptive backstepping controllers can globally stabilise the overall interconnected system asymptotically, such as to drive the system to a reference point and eliminate the disturbance. The load is properly shared between the power converters. The L2 norm of the system outputs is also established as functions of design parameters. This implies that the transient system performance can be adjusted by choosing suitable design parameters.

Keywords: adaptive control; decentralised control; adaptive backstepping; parallel converters; stability; DC-DC converters; robust control; modelling.

DOI: 10.1504/IJSCC.2012.048612

International Journal of Systems, Control and Communications, 2012 Vol.4 No.3, pp.134 - 149

Published online: 21 Aug 2012 *

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