Design and Simulation of an Aircraft & Missile System & Optimal Tuning of both Using Pid & Differential Algorithm (DE)

Abstract

This thesis tries to develop a model for the missile and for the aircraft simply using those dynamic force model and transfer function and to explore the potential of using soft computing methodologies such as Evolutionary algorithm(EA) –Differential algorithm(DE) in controllers and their advantages over conventional methods. PID controller, being the most widely used controller in industrial applications, needs efficient methods to control the different parameters of the plant. This thesis asserts that the conventional approach of PID tuning is not very efficient due to the presence of nonlinearity in the system of the plant. The output of the conventional PID system has a quite high overshoot and settling time. Two problem has been taken from a paper which has been considered as the dynamic model for missile and aircraft ,based on those problem the project progress. The main focus of this project is to apply evolutionary algorithm such as differential algorithm to design and tuning of PID controller to get an output with better dynamic and static performance. The application of differential algorithm(DE) to the PID controller imparts it the ability of tuning itself automatically in an on-line process makes it give an optimum output by searching for the best set of solutions for the PID parameters. The project also discusses the benefits and the short-comings of both the methods. The simulation outputs are the MATLAB results obtained for a step input .