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Abstract
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Article Information:
Optimized Reconfigurable Control Design for Aircraft using Genetic Algorithm
Arsalan H. Khan, Zhang Weiguo, Zeashan H. Khan and Shi Jingping
Corresponding Author: Arsalan H. Khan
Submitted: March 07, 2013
Accepted: April 12, 2013
Published: December 25, 2013 |
Abstract:
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In this study, we propose a Genetic Algorithm (GA) based modular reconfigurable control scheme for an over-actuated non-linear aircraft model. The reconfiguration of the flight controller is achieved for the case of control surface faults/failures using a separate control distribution algorithm without modifying the base-line control law. The baseline Multi-Input Multi-Output (MIMO) Linear Quadratic Regulator (LQR) is optimized using GA to produce desired moment commands. Then, a GA based weighted pseudo-inverse method is used for effective distribution of commands between redundant control surfaces. Control surface effectiveness levels are used to redistribute the control commands to healthy actuators when a fault or failure occurs. Simulation results using ADMIRE aircraft model show the satisfactory performance in accommodating different faults, which confirm the efficiency of optimized reconfigurable design strategy.
Key words: Control allocation, genetic algorithm, linear quadratic regulator, non-linear aircraft model, pseudo-inverse method, ,
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Cite this Reference:
Arsalan H. Khan, Zhang Weiguo, Zeashan H. Khan and Shi Jingping, . Optimized Reconfigurable Control Design for Aircraft using Genetic Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (24): 4653-4662.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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