Genetic Algorithm Design of an Adaptive, Multirate LQR Controller for a Multi-Machine MVDC Shipboard Electric Distribution System with Constant Power Loads

Authors
Mills, Adam J.
Ashton, Robert W.
Advisors
Second Readers
Subjects
MVDC
constant power load (CPL)
hybrid energy storage system (HESS)
linear quadratic regulator (LQR)
adaptive
non-linear
all-electric ships
Date of Issue
2017
Date
Publisher
IEEE
Language
Abstract
Over the last two decades, the US Navy has invested significantly in developing Integrated Power Systems (IPS) on warships. Future warship classes equipped with IPS are expected to have Medium Voltage DC distribution. DC distribution systems are host to scores of power converters which provide tailored voltage, frequency, and power quality to connected loads. When coupled to high-bandwidth controllers, power converters appear as constant power loads to the distribution system. The negative non-linear impedance associated with constant power loads reduces stability margins and limits the efficacy of linear control methods. The inclusion of megawatt level pulsed loads, such as laser weapons or railguns, further exacerbates the challenge to designers. A recently introduced control scheme, Adaptive Select-Matrix LQR (LQR-SM), is a flexible and adaptable centralized control approach to multi-input, multi-rate, high order systems. This paper presents the design and implementation of the LQR-SM control scheme in a complex hypothetical naval zonal MVDC distribution system that includes: multiple power generating units, multiple active energy storage devices, multiple load zones, and pulsed loads.
Type
Article
Description
Series/Report No
Department
Electrical and Computer Engineering (ECE)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funding
Format
6 p.
Citation
Mills, Adam J., and Robert W. Ashton. "Genetic Algorithm design of an adaptive, multirate LQR controller for a multi-machine MVDC shipboard electric distribution system with constant power loads." Transportation Electrification Conference and Expo (ITEC), 2017 IEEE. IEEE, 2017.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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