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Lighting retrofit and maintenance models with decay and adaptive control
Author(s) -
Wu Zhou,
Zhao Kai,
Xia Xiaohua
Publication year - 2018
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0598
Subject(s) - control theory (sociology) , control (management) , population , adaptive control , computer science , control engineering , engineering , artificial intelligence , sociology , demography
In lighting retrofit projects, a lamp population is subject to decay, which results in significantly deteriorated energy efficiency (EE) and reduced cost saving. Incremental retrofit and maintenance are studied to overcome the decay in the population, so that EE performance can be sustained. Current models of natural decay cannot reflect the interactive dynamics of incremental retrofit and maintenance, so a new decay model is proposed for these interventions. Using a control approach, a multiple‐input and multiple‐output state equation is formulated. Adaptive control laws are designed to cope with unknown parameters of the proposed model, and to achieve stable performance improvement. This new model is verified, based on empirical data, and the results of adaptive control indicate that the number of working lamps can be maintained as a required value.

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