0000000000697864

AUTHOR

Ragnar Eide

showing 3 related works from this author

Control design for load reduction on wind turbine system

2011

Masteroppgave i mekatronikk MAS500 2011 – Universitetet i Agder, Grimstad The wind power industry is currently the fastest growing renewable energy sector throughout the world. This requires the technical expertise among engineers and researchers in the wind energy field to find technical solutions which do not slow down this process. Since the technology is being developed at such a rapid rate, the industry is facing many challenging problems, especially among systems and control researchers. To ensure an economically competitive wind power production, the trend is to increase the turbine size while at the same time minimize material usage. These factors result in increasing fatigue loads,…

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Control Design Methodologies for Vibration Mitigation on Wind Turbine Systems

2011

Published version of a chapter in the book: Vibration Analysis and Control - New Trends and Developments. Also available from the publisher at: http://www.intechopen.com/source/pdfs/17693/InTech-Control_design_methodologies_for_vibration_mitigation_on_wind_turbine_systems.pdf. OA

VibrationEngineeringbusiness.industryVDP::Technology: 500::Mechanical engineering: 570Mechanical engineeringVibration mitigationbusinessTurbine
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LQG Control Design for Balancing an Inverted Pendulum Mobile Robot

2011

Author's version of an article published in the journal: Intelligent Control and Automation. Also available from the publisher at: http://dx.doi.org/10.4236/ica.2011.22019 The objective of this paper is to design linear quadratic controllers for a system with an inverted pendulum on a mobile robot. To this goal, it has to be determined which control strategy delivers better performance with respect to pendulum’s angle and the robot’s position. The inverted pendulum represents a challenging control problem, since it continually moves toward an uncontrolled state. Simulation study has been done in MATLAB Simulink environment shows that both LQR and LQG are capable to control this system succe…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Engineeringbusiness.industryVDP::Technology: 500::Mechanical engineering: 570Control (management)PendulumControl engineeringMobile robotLinear quadraticLinear-quadratic-Gaussian controlInverted pendulumComputer Science::RoboticsComputer Science::Systems and ControlPosition (vector)Control theoryRobotbusinessLQG control inverted pendulum mobile robotIntelligent Control and Automation
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