1,720,976 research outputs found
Artificial Potential Field and Sliding Mode Strategies for Rendezvous Maneuver and Obstacle Avoidance
No full textRegular simplex method and chattering elimination for nonlinear sliding mode control of uncertain systems.
No full textSimplex sliding mode control and chattering elimination for systems with mono-directional actuators.
No full textWind Turbine Sliding Mode Control and Wind Farm Energy Optimization with Fatigue Constraints
No full textOn the sliding mode control of mechanical systems.
No full textSi studia il controllo di un sistema meccanico basato su tecniche del tipo superficie di scivolamento.
Si applica il metodo del simplesso al controllo di sistemi meccanici controllati da azioni monodirezionali
High-Order Sliding Mode Control for the Test Mass stabilization of the LISA MIssion: preliminary results
Full text linkThe main objective of this paper is the design of a controller for the test mass release of the
Laser Interferometer Space Antenna (LISA) mission. Since the test masses are used as sensors
in the science phase for environmental measurements, the control system can be able to robustly
deal with large initial deviations of the release mechanism. Moreover, the control system should
be able to maintain and stabilize the test masses with a precision. For this reason, two Sliding
Mode Control (SMC) are included in this study. A second-order SMC is mainly proposed for this
critical phase, which is able to handle uncertainties and noise introduced by the sensors system.
This controller is compared with a first-order SMC, which was used in LISA Pathfinder mission,
in terms of accuracy and stead-state error. A nonlinear orbital simulator is considered in the
simulations, with limitations both of the actuation system (with saturation and delay) and of the
update frequencies. Model uncertainties, different initial conditions and external disturbances are
also included in the performed simulations
Trade-off between power extraction maximisation and fatigue reduction in wind farms via second-order sliding mode control and min–max optimisation
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An Original Sliding Mode Approach to Autonomous Driving Based on Super-Twisting and Artificial Potential Fields
No full textA Sliding Mode Control Architecture for Autonomous Driving in Highway Scenarios Based on Quadratic Artificial Potential Fields
Full text linkAn approach for automated driving in highway scenarios based on Super-Twisting (STW) Sliding Mode Control (SMC) methodologies supported by the use of Artificial Potential Fields (APF) is presented. The use of APF allows us to propose an effective SMC solution based on the gradient tracking (GT) principle. In this regard, a novel formulation of the APF functions is introduced that exploits a sequence of attractive quadratic functions. This solution simplifies the computation of the fields and allows for trajectory generation with improved regularity properties. Extensive simulation tests, as well as comparisons with baseline and state of the art solutions, show the effectiveness of the proposed approach
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