1,721,069 research outputs found
Vincenzo Cerulli
No full textNel presente articolo viene fornita una breve biografia di Vincenzo Cerulli, con particolare riguardo all'Osservatorio da lui fondato a Teramo
An Aerodynamic Torque Observer for the Robust Control of Variable-Speed Wind Turbines
No full textThis paper focuses on a robust power generation control strategy for
a variable speed wind energy conversion system based on a permanent
magnet synchronous generator. The proposed control strategy combines
a robust observer of the aerodynamic torque with a Sliding Mode (SM) based
field oriented control strategy. The robust vanishing of the observation error and the
tracking error is proved.
Reported numerical simulations show that the
proposed SM approach is effective in terms of optimal power extraction and
it is robust with respect to uncertainties affecting the system
Boost converter load estimation by a sliding mode approach
No full textThe control system for a boost converter with load uncertainties has been considered. A discontinuous boost converter model is considered taking into account also the inductor parasitic resistance and the diode threshold voltage. Exploiting the dynamics, internal and external, of the converter, a sliding mode regulator of the voltage has been designed by a change of coordinates. The load has been estimated by a sliding mode observer. The proposed solution has been numerically tested using a powerful software simulation platform
A sliding mode pitch controller for wind turbines operating in high wind speeds region
No full textThe paper focuses on variable-rotor-speed/variable-blade-pitch wind turbines operating in the region of high wind speeds, where control is aimed at limiting the turbine energy capture to the rated power value. A robust sliding mode approach is proposed, using the blade pitch as control input, in order to regulate the rotor speed to a fixed rated value, in the presence of uncertainties characterizing the wind turbine model. Closed loop convergence of the overall control system is proved. The proposed control solution has been validated on a 5 − MW three-blade wind turbine using the National Renewable Energy Laboratory (NREL) wind turbine simulator FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code. A comparison with the standard FAST baseline controller [1], [2] has been also included
A control strategy for variable-speed variable-pitch wind turbines within the regions of partial- and full-load operation without wind speed feedback
No full textIn this paper, the control of a variable-speed variable-pitch wind turbine in the whole wind speed range is addressed, without any feedback measurement of wind speed. In addition to an aerodynamic torque observer able to ensure the tracking of the maximum delivered power in the partial-load region, a novel wind speed observer is proposed for power regulation in the full-load region, along with a sliding surface ensuring finite-time set-point stabilization of the speed tracking error. The proposed control solution has been validated on the National Renewable Energy Laboratory 5-MW three-blade wind turbine model using the recognized high-fidelity simulation tool FAST
Proceedings of the 2020 IFAC World Congress
No full textIn this paper, the data-driven control approach known as Model-Free Adaptive Control technique is applied to the control of a class of general discrete-time Single-Input Single-Output nonlinear systems, making use of model obtained adopting a dynamic linearization technique based on pseudo-partial derivatives. The present study is inspired by the very recent paper (Liu and Yang 2019), where a data-driven adaptive sliding mode controller has been proposed able to account also for prescribed performance constraints. In particular, a rigorous stability analysis is here proposed, achieved modifying the forms of the sliding surface and of the control law but still retaining the main setup presented in the source paper. The careful analysis of the closed loop system here provided is shown to lead to the definition of suitable constraints on the gain of the sliding-mode based control term. A comparative study, by simulation, is also provided, performed using a test taken from the literature. Results show a remarkable improvement of control accuracy
Model Predictive Control for a Linear Parameter Varying Model of an UAV
No full textThis paper presents a Model Predictive Control (MPC) based autopilot for a fixed-wing Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named Aerosonde. Aerosonde missions are featured by predetermined operating conditions, allowing the design of ad-hoc controllers for each control task by using the future knowledge of the reference signals driving the aircraft during operations. To develop the controller, the nonlinear dynamics of the vehicle has been described by a Linear Parameter-Varying (LPV) model identified from the plant data by using a subspace identification technique. The LPV model is used to design a MPC to drive the UAV. Two different Linear Parameter-Varying MPC (MPCLPV) algorithms have been proposed by introducing the previewing technique in the controller due to the a priori knowledge of full reference signals. In the design of the inner Attitude Controller (AC), a future LPV scheduling parameters estimation policy has been introduced (PF −MPCLPV) for improving the control results of the standard Previewing MPCLPV (P-MPCLPV). Furthermore, an anticipative switching approach (PS −MPCS) has been considered for the altitude External Controller (EC) to improve the control performances of the standard previewing switching MPC (P-MPCS). Both PF −MPCLPV and PS −MPCS algorithms have been compared to the P-MPCLPV and P-MPCS baseline algorithms, showing the effectiveness of proposed methods
Robust Control of Variable-Speed Wind Turbines based on an Aerodynamic Torque Observer
No full textThis paper focuses on a robust power generation control strategy for a variable speed wind energy conversion system based on a permanent magnet synchronous generator. The proposed control strategy combines
a robust observer of the aerodynamic torque with a sliding mode based
field oriented control strategy. The robust vanishing of the
observation error and the tracking error is proved.
Reported numerical simulations show that the proposed control policy is effective in terms of optimal power extraction and it is robust with respect to uncertainties affecting the
system
Data-driven model-free adaptive control with prescribed performance: A rigorous Sliding-Mode based approach
No full textIn this paper, the data-driven control approach known as Model-Free Adaptive Control technique is applied to the control of a class of general discrete-time Single-Input Single-Output nonlinear systems, making use of model obtained adopting a dynamic linearization technique based on pseudo-partial derivatives. The present study is inspired by the very recent paper [Liu and Yang, 2019], where a data-driven adaptive sliding mode controller has been proposed able to account also for prescribed performance constraints. In particular, a rigorous stability analysis is here proposed, achieved modifying the forms of the sliding surface and of the control law but still retaining the main setup presented in the source paper. The careful analysis of the closed loop system here provided is shown to lead to the definition of suitable constraints on the gain of the sliding-mode based control term. A comparative study, by simulation, is also provided, performed using a test taken from the literature. Results show a remarkable improvement of control accuracy
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