Controlling the Angle of Attack of an Aircraft Using Genetic Algorithm Based Flight Controller

نویسندگان

  • H. Bevrani
  • S. Shokoohi
  • David Di Ruscio
چکیده

In this paper, the unstable angle of attack of a FOXTROT aircraft is controlled by using Genetic Algorithm based flight controller and the result is compared with the conventional techniques like Tyreus-Luyben (TL), Ziegler-Nichols (ZN) and Interpolation Rule (IR) for tuning the PID controller. Also the performance indices like Mean Square Error (MSE), Integral Square Error (ISE), and Integral Absolute Time Error (IATE) etc are improved by using Genetic Algorithm. It was established that the error by using GA is very less as compared to the conventional techniques thereby improving the performance indices of the dynamic system. Keywords— Angle of Attack, Genetic Algorithm, Performance Indices, PID Controller.

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Controlling the Angle of Attack of an Aircraft Using Genetic Algorithm Based Flight Controller

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تاریخ انتشار 2017