Balaban et al., 2011 - Google Patents
A mobile robot testbed for prognostics-enabled autonomous decision makingBalaban et al., 2011
View PDF- Document ID
- 13055763509487815223
- Author
- Balaban E
- Narasimhan S
- Daigle M
- Celaya J
- Roychoudhury I
- Saha B
- Saha S
- Goebel K
- Publication year
- Publication venue
- Annual Conference of the PHM Society
External Links
Snippet
The ability to utilize prognostic system health information in operational decision making, especially when fused with information about future operational, environmental, and mission requirements, is becoming desirable for both manned and unmanned aerospace vehicles. A …
- 241001061260 Emmelichthys struhsakeri 0 abstract description 43
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
- G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Balaban et al. | A mobile robot testbed for prognostics-enabled autonomous decision making | |
Balaban et al. | Development of a mobile robot test platform and methods for validation of prognostics-enabled decision making algorithms | |
Balaban et al. | An approach to prognostic decision making in the aerospace domain | |
Paull et al. | Towards an ontology for autonomous robots | |
Bole et al. | Online prediction of battery discharge and estimation of parasitic loads for an electric aircraft | |
Boggio-Dandry et al. | Perpetual flight for UAV drone swarms using continuous energy replenishment | |
Schacht-Rodríguez et al. | Prognosis & Health Management for the prediction of UAV flight endurance | |
Schacht-Rodríguez et al. | Mission planning strategy for multirotor uav based on flight endurance estimation | |
Sankararaman | Towards a computational framework for autonomous decision-making in unmanned aerial vehicles | |
Bole et al. | SIL/HIL replication of electric aircraft powertrain dynamics and inner-loop control for V&V of system health management routines | |
Sweet et al. | Demonstration of prognostics-enabled decision making algorithms on a hardware mobile robot test platform | |
de Souza Cândido et al. | Control and energy management for quadrotor | |
Balaban et al. | Unifying system health management and automated decision making | |
She et al. | A data-driven power consumption model for electric uavs | |
Corbetta et al. | An approach for uncertainty quantification and management of unmanned aerial vehicle health | |
Thompson et al. | Field trials of an energy‐aware mission planner implemented on an autonomous surface vehicle | |
Sharma et al. | Prognostics-Informed Battery Reconfiguration in a Multi-Battery Small UAS Energy System | |
Darrah et al. | The effects of component degradation on system-level prognostics for the electric powertrain system of UAVs | |
Daigle | Model-Based Prognostics | |
Zhao et al. | A performance evaluation algorithm of stochastic hybrid systems based on fuzzy health degree and its application to quadrotors | |
LeSage et al. | Characterization of Load Uncertainty in Unstructured Terrains and Applications to Battery Remaining Run‐time Prediction | |
Sharma et al. | Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems | |
Srikanthakumar et al. | Worst-case analysis of moving obstacle avoidance systems for unmanned vehicles | |
LeSage et al. | Mission feasibility assessment for mobile robotic systems operating in stochastic environments | |
Singh et al. | On-board electrical, electronics and pose estimation system for hyperloop pod design |