Modeling and Simulation for Small Autonomous Helicopter Development
نویسندگان
چکیده
The Charles Stark Draper Laboratory, Inc., Massachusetts Institute of Technology, and The Boston University have cooperated to develop an Autonomous Aerial Vehicle (AAV) that competed in and won the 1996 International Aerial Robotics Competition, sponsored by the Association for Unmanned Vehicle Systems, International (AUVSI). Development of the vehicle continues to support ongoing research in the area of autonomous systems. A simulation capability has been developed to support the design, development, and test of the navigation, control, guidance, and vision processing sub-systems, as well as human-machine interfaces and procedures. The use of the simulation described in this paper is identified as a key factor in the success of the program at the competition and operations since.
منابع مشابه
Intelligent Auto pilot Design for a Nonlinear Model of an Autonomous Helicopter by Adaptive Emotional Approach
There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This...
متن کاملAutomatic Landing of Small Helicopters on 4 DOF Moving Platforms
In this research, an automatic control system is designed for landing of a small helicopter on a 4 DOF moving platform. The platform has three translational and one directional degree of freedom. The controller design approach is based on development of helicopter nonlinear dynamic model into the SDC (State Dependent Coefficient) form and real time solving of state dependent Riccati equation (S...
متن کاملTail Motion Model Identification for Control Design of an Unmanned Helicopter
This paper explains the methodology developed to design the yaw control system (heading control system) of the α-SAC UAV. The problem of modeling and controlling the tail motion of this UAV along a desired trajectory is considered. First, the response data of the system are collected during special flight test and a linear time invariant model is extracted by identification techniques. Then, th...
متن کاملState estimation of an autonomous helicopter using Kalman filtering
This paper presents a technique to accurately estimate the state of a robot helicopter using a combination of gyroscopes, accelerometers, inclinometers and GPS. Simulation results of state estimation of the helicopter are presented using Kalman ltering based on sensor modeling. The number of estimated states of helicopter is nine : three attitudes( ; ; ) from the gyroscopes, three accelerations...
متن کاملAggressive Maneuvering of Small Autonomous Helicopters: A Human-Centered Approach
Unmanned small autonomous helicopters can perform aggressive maneuvers that will be useful for operations in challenging conditions. This paper presents an analysis of the pilot’s execution of aggressive maneuvers from flight test data, collected on an instrumented small-scale acrobatic helicopter. A full-envelope nonlinear dynamic model of the helicopter was developed and validated for aggress...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1997