Dynamic Modeling and Control of Aircraft Surfaces Using Hybrid Intelligent Controllers
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 6
Abstract
This paper addresses the study of two control surfaces of aircraft namely Elevators and Ailerons for controlling longitudinal and roll control movement. The control surfaces are implemented with hybrid intelligent controllers, such as ANN (artificial neural network), ANFIS (artificial neuro- fuzzy inference system) and combination of PID controller with Fuzzy compensation techniques. Dynamic modeling of these controllers is presented here to examine the overall performance of controllers, primarily based on time response specification and also the behavior of control surfaces. Firstly, transfer function relating to Elevator input is developed by considering Servomotor which is used to control the movement of surface. This particular model is implemented for Linear and Non-linear models and the effect of various nonlinearities is observed on the performance of Flight control system (FCS), whereas for the aircraft roll control system it is designed with rate gyro and rate integrating gyro providing input to the ailerons. The controllers are designed based on linearized model of aircraft so as to simplify the design process, with the idea of dynamic modeling of servomotor for aircraft longitudinal control by controlling the movement of elevators and modeling of rate and rate-integrating gyro for F-16 fighter aircraft by controlling ailerons. A quantitative analysis of controllers has been carried out in MATLAB Simulink© software. Finally, the research study results shows that the combination of Fuzzy-PID controller provides best results with reference to aircraft longitudinal and roll control movement respectively.
Authors and Affiliations
Ajai Kumar Singh, Rahul Dahiya
Keywords
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- EP ID EP388406
- DOI 10.9790/1676-1206012140.
- Views 137
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