Adaptive Fuzzy Controller for Auto Pilot

ADAPTIVE FUZZY CONTROLLER FOR AUTO PILOT

RICHA MISHRA SANDIPAN PAL

ABSTRACT:

This paper presents a path tracking

adaptive fuzzy control scheme for an autopilot aircraft – a non linear system for an unmanned aerial vehicle. It applies real time adaptation control techniques to dynamically adapt the system to different resource demands and resource availability. The system works by gradually reducing its tracking error to zero. In addition to this, two other modules- altitude control according to specified range and orientation control according to the weight distribution are also include to extend the functionality of the proposed system.

INTRODUCTION:

High-performance computing is rapidly expanding to include distributed collections of heterogeneous sequential and parallel systems and irregular applications with complex, data dependent execution behavior and time-varying resource demands. To provide adaptive resource management for dynamic applications, we are developing the AFCAP. It provides a flexible set of performance sensors, decision procedures and policy actuators to realize adaptive control of applications and resource management policies on both parallel and wide area distributed systems.

The path detection, collision avoidance, weight balancing and altitude controls are exercised using the fuzzy decision controller.

AFCAP consists of a system for airport traffic avoidance. Efforts to increase airport capacity include studies of aircraft systems that would enable simultaneous approaches to closely spaced parallel runways in Instrument Meteorological Conditions (IMC). The time-critical nature of a parallel approach results in key design issues for current and future collision avoidance systems. These issues are being studied in two ways. First, a part-task flight simulator study has examined the procedural and display issues inherent in such a time-critical task. Second, prototype collision avoidance logic capable of...