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

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.

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