Design of Stable Nonlinear Pitch Control System for a Jet Aircraft by Using Artificial Intelligence

  • Chandra Sekhar MohantyEmail author
  • Partha Sarathi Khuntia
  • Debjani Mitra
Research Article


The principal objective of this paper is to present the design of a Swarm Optimized Proportional Integral Derivative controller to obtain the desired pitch angle for a nonlinear pitch control system of a Delta Aircraft (four engine very large cargo jet aircraft). The Bacterial Foraging Optimization technique is applied to optimize the PID controller. A fine-tuned Particle Swarm Optimization PID (PSOPID) controller and a Radial basis function neural controller (RBFNC) for flight control system are designed to compare and establish the superiority of our proposed system. It is established that Bacterial Foraging Optimized PID controller provides better performance in comparison to RBFNC and PSOPID controller in terms of early settling time and overshoot. Finally, it was established that the designed controller along with the Flight control system is robust stable with the help of Kharitonov Stability Criterion.


PID controller BFOPID PSOPID RBFNC Pitch control system and Kharitonov stability criteria 


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Copyright information

© The National Academy of Sciences, India 2017

Authors and Affiliations

  • Chandra Sekhar Mohanty
    • 1
    Email author
  • Partha Sarathi Khuntia
    • 1
  • Debjani Mitra
    • 2
  1. 1.Konark Institute of Science and Technology BBSRBhubaneswarIndia
  2. 2.Indian Institute of Technology (Indian School of Mines)DhanbadIndia

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