Title: Local sparse coding control of CVPSTs

Authors: S. Ozdemir

Addresses: Artificial Intelligence and Design Laboratory, Mechanical Engineering Department, Izmir Institute of Technology, 35430 Izmir, Turkey

Abstract: This paper discusses simulations of a control scheme based on locally sparse coded networks (CMACs) for a novel previously proposed continuously variable transmission (CVT), a hybrid continuously variable power split transmission (CVPST) (Osdemir and Schueller, 2002). Automotive transmissions match the speed and the torque of the power source to the speed and torque requirements of the load. Properly designed CVTs have shown potential to improve efficiency and performance. The main advantage of CMACs is fast computation because of their simple operational principles. Simulation results have shown that memory contents either reach a stable limit cycle or an attractor based on the selection of network parameters and the training method. Both online and offline training are possible.

Keywords: cerebellar model articulation controllers; CMACs; continuously variable transmissions; CVTs; hybrid continuously variable power split transmissions; CVPSTs; local sparse coding; power recirculation; power split; sparse coded networks; simulation; automotive transmission.

DOI: 10.1504/IJHVS.2005.006378

International Journal of Heavy Vehicle Systems, 2005 Vol.12 No.2, pp.104 - 120

Published online: 28 Feb 2005 *

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