Results 91 to 100 of about 35,405 (190)
Optimal Control of a Tri-axial Spacecraft Simulator Test bed Actuated by Reaction Wheels [PDF]
فصلنامه علوم و فناوری فضایی, 2016 This article describes the details of a Tri-axial Spacecraft Simulator Testbed (TSST) that has been developed as part of a research program on spacecraft multi-body rotational dynamics and control in Space Research Laboratory (SRL) at K. N.
Hojat Taei +4 more
doaj
Extending the LQR to the design of PID type‐ii and type‐iii control loops
, 2022 Chao Liu +7 more
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LQR and Fuzzy-PID Control Design on Double Inverted Pendulum
Cauchy: Jurnal Matematika Murni dan AplikasiDouble inverted pendulum is a non-linear and unstable system. Double inverted pendulum can be stabilized in the upright position by providing control to the system.
Erlyana Trie Damayanti +2 more
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Study on maintaining formations during satellite formation flying based on SDRE and LQR
Open Physics, 2017 Due to the influence of various perturbations of space, satellites flying in formation cannot maintain specific configurations for long durations [1, 2]. In order to ensure that formation configurations are able to meet the requirements of space missions,
Ke Zhang, Zhenqi He, Meibo Lv
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Design and Simulation of an LQR-PI Control Algorithm for Medium Wind Turbine
Energies, 2019 In this paper, a new linear quadratic regulator (LQR) and proportional integral (PI) hybrid control algorithm for a permanent-magnet synchronous-generator (PMSG) horizontal-axis wind turbine was developed and simulated. The new algorithm incorporates LQR
Kwansu Kim +3 more
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International Journal of Naval Architecture and Ocean Engineering, 2019 A controller for an underwater glider is presented. Considered underwater glider is a torpedo-shaped autonomous underwater vehicle installing adjustable buoyancy bag and movable battery in it.
Moon G. Joo
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Adaptive Neural-Fuzzy controller design combined with LQR to control the position of gantry crane
, 2023 Dinh Do Van
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MachinesExtreme pantograph–catenary contact force (PCCF) oscillations pose a serious challenge to the stable coupling between pantograph and catenary in high-speed railway systems.
Zhun Han +7 more
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Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
, 2017 Reinforcement learning (RL) algorithms for real-world robotic applications need a data-efficient learning process and the ability to handle complex, unknown dynamical systems.
Chebotar, Yevgen +5 more
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