Manual for Autonomous Calibration & Control of Atlas Copco Mining Equipment

Autonomous Calibration and Control of Mine Vehicles, Introduction, Objective, Limitations, Method, Related Work, Pre-Study, Method, Calibration and Maintenance, Results, Domain and Techniques, System Overview, Steering System, Vehicle Differences, Vehicle Velocity, Ground Material, Tire Characteristic, Load, Mass Affects the Normal Force, Oil Temperature, Engine Speed, Algorithm Engineering, Establish Desired Attributes, Come Up with a Target Algorithm, Adapt Target Algorithm to the Problem, Deploy to Hardware, Identify Correct Currents Given Desired Steering Speeds, Deployment is Outside the Scope of This Thesis, Search Algorithm, The Calibration, Model, Initial Current, The Corresponding State Chart, System Identification, Gray Box Modelling, Actuators, Control Input, Intermediate Input Variable, Intermediate Output Variable, Static Nonlinearity, Linear Dynamics, Model, Following Boundaries, Neural Network, Black Box Modelling, Back Propagation, Resilient Back Propagation, The Algorithm, The System, Many Layers, Many Neurons, These Decisions, The Activation Function, Empirical Studies, Data Collection, Vehicle Differences, Vehicle Velocity, Tire Characteristic, Load, Oil Temperature, Engine Speed, Pilot Measurements, Sample of Input Current, Following are the Conclusions, The Settling, Verification, MT42 Measurements, Verification, Time, Following the Above Guidelines, Steering Speed, Analysis, Search Algorithm, Four Models, Accuracy of Search Algorithm, The Results are Almost Identical, System Identification, Gray Box Modelling, Start Values for Breakpoints, Identified Values for Breakpoints, Current, The Full Measurement, Accuracy of Grey Box Model, Neural Net, Black Box Modelling, The Final Model, Accuracy of Black Box Model, Results, Search Algorithm on Filtered Data, Gray Box System Identification on Full Learning Data, Black Box Neural Network on Filtered Data, Mean Steering, Maximum Mean Errors for the Evaluated, Estimated Calibration Time for the Evaluated Models, Discussion, Conclusions…

• Pages: 65
• Size: 0.74 MB
• Format: PDF (Adobe Reader)
• Contenido: Manual for Autonomous Calibration & Control of Atlas Copco Mining Equipment – Mining Trucks, Mine Vehicles, Studies, Techniques, Algorithm Engineering, System Identification, Model, Neural Network, Data, Analysis & Results – Information

MANUAL – AUTONOMOUS CALIBRATION – CONTROL OF ATLAS COPCO MINING EQUIPMENT – MINING TRUCKS – MINE VEHICLES – STUDIES – TECHNIQUES – ALGORITHM ENGINEERING – SYSTEM IDENTIFICATION – MODEL – NEURAL NETWORK – DATA – ANALYSIS – RESULTS