An approximate numerical mthod is presented for analysis and determination of modal characteristics in straight, pretwisted non-unifom helicopter blades. The analysis considers the coupled flapwise bending (out of plane), chordwise bending (in plane), and torsion vibration of both rotating and non-rotating blades. The proposed method is based on the integral expansion of Green functions (struct...

An expert system for diagnosing faults in the power train of a twin-engine gas turbine helicopter has been developed. The system, designated HELIX (HELicopter Integrated expert), performs diagnostic reasoning based on a hierarchical qualitative model representing the major power train components and the physical principles that govern their interaction. The approach represents a promising techn...

In this paper, identification of lateral and longitudinal dynamics of helicopter using flight data is presented. Neural networks with linear filter also known as Narendra's model and recurrent neural networks with intemal memory (Memory Neuron Networks) are used for the purpose. These networks are used for identifying the rate and attitude response of the helicopter to a given longitudinal cycl...

An auto-pilot system was created which could track and control a Syma S107 RC mini infrared helicopter in real-time. The helicopter was tracked using two LEDs attached to it, one situated on the front of the helicopter and one situated on the tail. Image processing and object tracking algorithms were used to track the position of the helicopter. In order to perform real-time tracking, the metho...

This paper presents a singular perturbation stability analysis for a nonlinear three-time-scale autonomous helicopter model in vertical flight. The presented time-scale analysis permits to conduct a stability analysis for the singular perturbed threetime-scale system, and allows to construct a composite Lyapunov function for the resultant closed-loop system using time-scale separation. The meth...

Machine Learning for Helicopter Dynamics Models by Ali Punjani Master of Science in Computer Science University of California, Berkeley Professor Pieter Abbeel, Chair We consider the problem of system identification of helicopter dynamics. Helicopters are complex systems, coupling rigid body dynamics with aerodynamics, engine dynamics, vibration, and other phenomena. Resultantly, they pose a ch...

This paper advances a neural-network-based approximate dynamic programming control mechanism that can be applied to complex control problems such as helicopter flight control design. Based on direct neural dynamic programming (DNDP), an approximate dynamic programming methodology, the control system is tailored to learn to maneuver a helicopter. The paper consists of a comprehensive treatise of...