Aerospace Control and Guidance Systems Committee

Announcements


You must first log in to access prior meeting presentations, register for a meeting, or nominate some for the Ward Award.


If you do not have a login account, or cannot remember the email address associated with your account, please click on the Application Form link below.

 
 

Login

 

E-mail: 

 

Password: 


Forgot your password?

Application Form


 

Site Search

Search our site:
 
 

Upcoming Events


Register for Meeting 133
(Coming Soon!)

 
 

Photos


Meeting Highlights New!

Subcommittee S

 
 

Prior Meetings

Abstracts may be viewed by anyone. Presentations are only available to active members who have logged in.

Meeting 132
(coming soon)

Meeting 131

Meeting 130

Meeting 129

Meeting 128

Meeting 127

Meeting 126

Meeting 125

Meeting 124

Meeting 123

Meeting 122

Meeting 121

Meeting 120

Meeting 119

Meeting 118

Meeting 117

Meeting 116

Meeting 115

Meeting 114

Meeting 113

Meeting 112

Meeting 111

Meeting 110

Meeting 109

Meeting 108

Meeting 107

Meeting 106

Meeting 105

Meeting 104

Meeting 103

Meeting 102

Meeting 101

Meeting 100

Meeting 99

Meeting 98

Meeting 97

Meeting 96

Meeting 95

Meeting 94

Meeting 93

Meeting 92

 
HomeWard Memorial AwardPlanning Advisory BoardDownloadsConstitution and By-LawsAboutHistoryContact Us

  ← Return to agenda

MeetingACGS Committee Meeting 126 - Virtual - March 2021
Agenda Location9 SUBCOMMITTEE E – FLIGHT, PROPULSION, AND AUTONOMOUS VEHICLE CONTROL SYSTEMS
9.1 Acoustically-aware vehicles: Control driven noise reduction for Urban Air Mobility
TitleAcoustically-aware vehicles: Control driven noise reduction for Urban Air Mobility
PresenterKasey Ackerman and Andrew Patterson
AffiliationNASA Langley Research Center and UIUC
Available Downloads*presentation
*Downloads are available to members who are logged in and either Active or attended this meeting.
AbstractVehicle noise remains a significant barrier to public acceptance of Urban Air Mobility-class aircraft. This work focuses on motion planning for aircraft in noise-sensitive areas. First, a nonlinear Model Predictive Path Integral (MPPI) control law is used to generate a finite-horizon trajectory that satisfies acoustic level constraints at a set of (three-dimensional) observer locations. The MPPI framework places no restrictions on the class of state-dependent cost functionals that can be employed, making it well-suited for use with sophisticated acoustic models and metrics, in addition to dynamic and mission-relevant constraints.

Next, we consider a trajectory generation method for synchronizing the propeller blades of an aircraft. The method takes desired vehicle position and propeller phase offset trajectories and computes the complete state trajectory and necessary control inputs. This method allows propeller synchronization to be incorporated into existing noise reduction frameworks without affecting the vehicle's spatial trajectory.

The model-predictive control architecture is implementable in real-time. A simulation example demonstrates the controller's ability to modify the flight trajectory to satisfy acoustic constraints at multiple measurement locations. The synchronization method is demonstrated for a fixed spatial trajectory. Using an acoustic model that captures both the directional and periodic nature of propeller noise, the acoustic effects of changing the propeller phase offsets during a flight are simulated. The vehicle noise is reduced for appropriately chosen phase offsets.



Copyright © 2024 | Question? webmaster@acgsc.org