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Simulation of Two-Rate Hybrid Control for Nonlinear Stochastic Model of a Diesel Engine ActuatorIgor ASTROV |
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Author keywords
simulation, nonlinear systems, multi-rate, neural networks, fuzzy logic, engine control
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About this article
Date of Publication: 2003-04-02
Volume 3, Issue 1, Year 2003, On page(s): 72 - 83
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
Abstract Despite perfecting of performances of computers and applied programs the problems of decomposition for nonlinear stochastic control systems remain actual. This paper describes a two-rate nonlinear stochastic control system as state-space (SS) type decomposed models of multi-input/multi-output (MIMO) subsystems with the fast and slow neural networks (NNs) and fuzzy logic (FL) control structure. An illustrative example - NN and FL hybrid control of two-rate decomposed model of an electromechanical actuator for diesel engine - was carried out using the proposed two-rate SS decomposition technique. The results of decomposition of an initial nonlinear stochastic system on two-rate autonomous subsystems are tested with the help of the block diagram of a comparison of functioning for the given initial system with all subsystems. This example demonstrates that this research technique results in simplified low-order MIMO autonomous subsystems with various discretization periods and with various speeds of actuation, and shows the quality of the proposed technique. The simulation results with use of software package Simulink demonstrate that this research technique would work for real-time MIMO stochastic systems. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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