NDLI: Augmented LQG Optimal Control of Dynamic Performance for ETG System

Content Provider	IEEE Xplore Digital Library
Author	Gui-chen Zhang
Copyright Year	2009
Abstract	Running of unstable speed exhaust turbine generator (ETG) using main engine (ME) waste heat by high turbulence intensities, in order to demand maximization of regenerative energy harvested from the ME waste heat and minimization of damage caused by mechanical losses and fatigue. ALQG control scheme for output power leveling with unknown dynamics is proposed in this paper. The control scheme applies a neurocontroller (NC), regulates rotational speed and generator torque by specifying optimal-load ratio demanded generator output power. SINAMICS technology ensures rated power output of ETG. A second-order power control model and a stochastic exhaust gas field model are established in the analysis; power matching characteristic is analyzed, hardware-in-the-loop simulation is researched. Simulation results indicate the ALQG control scheme effectively harmonizes the relation between rotor speed and the highly turbulent exhaust gas speed thereby regulating shaft moment and maintaining rated power.
Starting Page	446
Ending Page	450
File Size	609300
Page Count	5
File Format	PDF
ISBN	9781424438358
DOI	10.1109/AICI.2009.417
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	LQG Stochastic processes Energy feedback Fatigue Neurocontrollers Hybrid error Heat engines Torque control Power control NC Optimal control Waste heat Power generation Turbines Exhaust turbine generator
Content Type	Text
Resource Type	Article

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