Journal of Control Engineering and Applied Informatics
Simulation Of Hybrid Control For An Experimental Aircraft Two-Rate Model
Abstract
This paper describes a two-rate stochastic control system as state-space (SS) type decentralized models of multi-input/smulti-output (MIMO) stochastic subsystems with the "fast" linear-quadratic-Gaussian (LQG) regulator, "slow" neural network (NN) regulator and fuzzy logic (FL) control structure.
An illustrative example - LQG, NN and FL hybrid control of two-rate decentralized stochastic model of a tracking system for an experimental aircraft - was carried out using the proposed two-rate SS decentralization technique. 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.
An illustrative example - LQG, NN and FL hybrid control of two-rate decentralized stochastic model of a tracking system for an experimental aircraft - was carried out using the proposed two-rate SS decentralization technique. 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.