Extending Three Existing Models to Analysis of Trust in Automation: Signal Detection, Statistical Parameter Estimation, and Model-Based Control

2019 ◽  
Vol 61 (7) ◽  
pp. 1162-1170 ◽  
Author(s):  
Thomas B. Sheridan
Keyword(s):  
Parameter Estimation ◽  
Signal Detection ◽  
Interaction Design ◽  
Statistical Parameter ◽  
Open Loop ◽  
Loop Control ◽  
Model Based Control ◽  
Model Based ◽  
Trust In Automation ◽  
Statistical Parameter Estimation

Objective: The objective is to propose three quantitative models of trust in automation. Background: Current trust-in-automation literature includes various definitions and frameworks, which are reviewed. Method: This research shows how three existing models, namely those for signal detection, statistical parameter estimation calibration, and internal model-based control, can be revised and reinterpreted to apply to trust in automation useful for human–system interaction design. Results: The resulting reinterpretation is presented quantitatively and graphically, and the measures for trust and trust calibration are discussed, along with examples of application. Conclusion: The resulting models can be applied to provide quantitative trust measures in future experiments or system designs. Applications: Simple examples are provided to explain how model application works for the three trust contexts that correspond to signal detection, parameter estimation calibration, and model-based open-loop control.

Model-Based Control of a Pressure-Compensated Directional Valve With Significant Dead-Zone

2019 ◽  
Author(s):  
Santeri Lampinen ◽  
Janne Koivumäki ◽  
Jouni Mattila ◽  
Jouni Niemi
Keyword(s):  
Control Method ◽  
Dead Zone ◽  
Open Loop ◽  
Mobile Manipulators ◽  
Hydraulic Systems ◽  
Loop Control ◽  
Model Based Control ◽  
Control Valves ◽  
Model Based ◽  
Directional Control

Abstract Hydraulic systems on mobile manipulators and industrial systems often come equipped with pressure-compensated proportional directional control valves with significant dead-zone. These kind of hydraulic valves are well suited for open-loop applications with an operator in control. However, designing closed-loop control for such systems is a challenging task. In this study, we propose a model-based control method for such valves to increase the performance of the current state-of-the-art in industrial robotic manipulator control. The proposed control method rigorously addresses the dynamics of a hydraulic manipulator system with dead-zone compensation for pressure-compensated directional control valves. The proposed method is evaluated with experiments on a commercial heavy-duty breaker boom with Sauer-Danfoss PVG 120 valves. The experimental results show accurate control of the manipulator despite the used slow-response load sensing valves.

Statistical Parameter Estimation for Observation Error Modelling: Application to Meteor Radars

2021 ◽  
pp. 185-213
Author(s):  
Elizabeth A. Satterfield ◽  
Joanne A. Waller ◽  
David D. Kuhl ◽  
Dan Hodyss ◽  
Karl W. Hoppel ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Statistical Parameter ◽  
Observation Error ◽  
Modelling Application ◽  
Statistical Parameter Estimation

Model-Based Control of Combustion Instabilities

2005 ◽  
Author(s):  
Aimee S. Morgans ◽  
Ann P. Dowling
Keyword(s):  
Transfer Function ◽  
Controller Design ◽  
Open Loop ◽  
Operating Conditions ◽  
Combustion Instabilities ◽  
Lean Premixed Combustion ◽  
Model Based Control ◽  
Model Based ◽  
Loop Transfer Function ◽  
Mathematical Approximation

Model-based control has been successfully implemented on an atmospheric pressure lean premixed combustion rig. The rig incorporated a pressure transducer in the combustor to provide a sensor measurement, with actuation provided by a fuel valve. Controller design was based on experimental measurement of the open loop transfer function. This was achieved using a valve input signal which was the sum of an identification signal and a control signal from an empirical controller to eliminate the non-linear limit cycle. The transfer function was measured for the main instability occurring at a variety of operating conditions, and was found to be fairly similar in all cases. Using Nyquist and H∞-loop shaping techniques, several robust controllers were designed, based on a mathematical approximation to the measured transfer function. These were implemented experimentally on the rig, and were found to stabilise it under a variety of operating conditions, with a greater reduction in the pressure spectrum than had been achieved by the empirical controller.

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