Details

Autor(en) / Beteiligte

• Gui-chen Zhang

Titel

Augmented LQG Optimal Control of Dynamic Performance for ETG System

Ist Teil von

• 2009 International Conference on Artificial Intelligence and Computational Intelligence, 2009, Vol.4, p.446-450

Ort / Verlag

IEEE

Erscheinungsjahr

2009

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• 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.