Power management method and system for an unmanned air vehicle

Patent metadata

Field	Value
Publication number	US-9725169-B2
Application number	US-201414447090-A
Country	US
Kind code	B2
Filing date	Jul 30, 2014
Priority date	Sep 26, 2013
Publication date	Aug 8, 2017
Grant date	Aug 8, 2017

Abstract

Power management method and system for an unmanned air vehicle, wherein the unmanned air vehicle comprises a plurality of power demanding subsystems and a plurality of power sources. The invention establishes mission oriented fixed parameters. A fuzzy logic power management unit, comprised in the system, automatically calculates and assigns priorities for delivering power to the subsystems. It also automatically calculates and assigns amounts of power delivered to each subsystem and automatically decides which of the power sources to deliver power to which subsystem. The fuzzy logic power management system calculates and assigns the priorities and loads in function of a plurality of internal variables, external variables and the mission oriented fixed parameters.

First claim

The invention claimed is:

1. A power management method for an Unmanned Air Vehicle (UAV) for managing electrical power distribution to a plurality of subsystems onboard the UAV during performance of a mission, the method comprising:
receiving a set of mission oriented fixed parameters for implementing the mission of the UAV;
determining a current state of charge of a plurality of electrical power sources onboard the UAV;
determining current electrical power requirements of each of the subsystems onboard the UAV;
measuring a plurality of internal flight variables of the UAV;
measuring a plurality of external flight variables of the UAV;
calculating and assigning, utilizing a fuzzy logic algorithm, priorities for delivering electrical power to each of the subsystems onboard the UAV based on the current state of charge of the plurality of electrical power sources onboard the UAV, the current electrical power requirements of each of the subsystems onboard the UAV, the plurality of internal flight variables of the UAV, the plurality of external flight variables of the UAV, and the set of mission oriented fixed parameters for implementing the mission of the UAV;
calculating and assigning, utilizing the fuzzy logic algorithm, amounts of electrical power delivered to each of the subsystems onboard the UAV based on the current state of charge of the plurality of electrical power sources onboard the UAV, the current electrical power requirements of each of the subsystems onboard the UAV, the plurality of internal flight variables of the UAV, the plurality of external flight variables of the UAV, and the set of mission oriented fixed parameters for implementing the mission of the UAV;
deciding, utilizing the fuzzy logic algorithm, which of the plurality of electrical power sources deliver the electrical power to which of the subsystems onboard the UAV based on the current state of charge of the plurality of electrical power sources onboard the UAV, the current electrical power requirements of each of the subsystems onboard the UAV, the plurality of internal flight variables of the UAV, the plurality of external flight variables of the UAV, and the set of mission oriented fixed parameters for implementing the mission of the UAV; and
delivering the electrical power to the subsystems onboard the UAV based on the priorities calculated, the amounts of electrical power calculated, and which of the plurality of electrical power sources that deliver the electrical power to which of the subsystems onboard the UAV.

2. The method of claim 1 wherein the plurality of internal flight variables of the UAV are selected from a group comprising:
an internal temperature of a propulsion system of the UAV;
an availability of the electrical power sources onboard the UAV; or
any combination thereof.

3. The method of claim 1 wherein the plurality external flight variables are selected from a group comprising an air speed of the UAV, an outside air temperature, an atmospheric pressure, or any combination thereof.

Assignees

• Boeing Co

Inventors

• Lemus Martin Jose Luis
• Mayan Sergio Pereira
• Ferreyra Eduardo Gabriel

Classifications

• B64U2201/10

  autonomous, i.e. by navigating independently from ground or air stations, e.g. by using inertial navigation systems [INS] · CPC title

• B64U50/31

  generated by photovoltaics · CPC title

• G05D1/0005 Primary

  with arrangements to save energy · CPC title

• G05B13/0275

  using fuzzy logic only · CPC title

• B64D41/00

  Power installations for auxiliary purposes · CPC title