High-Order Sliding Mode Control of a Marine Current Turbine Driven Permanent Magnet Synchronous Generator

This work is supported by Brest Métropole Océane (BMO) and the European Social Fund (ESF). It is also supported by the GDR SEEDS CNRS N°2994 under the Internal Project HYDROLE. It is done within the framework of the Marine Renewable Energy Commission of the Brittany Maritime Cluster (Pôle Mer Bretagne).International audienceThis paper deals with the speed control of a Permanent Magnet Synchronous Generator (PMSG)-based Marine Current Turbine (MCT). Indeed, to increase the generated power and therefore the efficiency of an MCT, a nonlinear controller has been proposed. PMSG has been already considered for similar applications particularly wind turbine systems using mainly PI controllers. However, such kinds of controllers do not adequately handle some of tidal resource characteristics such as turbulence and swell effects. Indeed, these may decrease the MCT performances. Moreover, PMSG parameter variations should be accounted for. Therefore, a robust nonlinear control strategy, namely high-order sliding mode control, is proposed. The proposed control strategy is inserted in a global simulation tool that accounts for the resource and the marine turbine models. Simulations using tidal current data from the Raz de Sein (Brittany, France), and experiments on a 7.5-kW real-time simulator are carried out for validation purposes

High-Order Sliding Mode Control of a Marine Current Turbine Driven Permanent Magnet Synchronous Generator

This paper deals with the speed control of a Permanent Magnet Synchronous Generator (PMSG)-based Marine Current Turbine (MCT). Indeed, to increase the generated power and therefore the efficiency of an MCT, a nonlinear controller has been proposed. PMSG has been already considered for similar applications particularly wind turbine systems using mainly PI controllers. However, such kinds of controllers do not adequately handle some of tidal resource characteristics such as turbulence and swell effects. Indeed, these may decrease the MCT performances. Moreover, PMSG parameter variations should be accounted for. Therefore, a robust nonlinear control strategy, namely high-order sliding mode control, is proposed. The proposed control strategy is inserted in a global simulation tool that accounts for the resource and the marine turbine models. Simulations using tidal current data from the Raz de Sein (Brittany, France), and experiments on a 7.5-kW real-time simulator are carried out for validation purposes

Control strategy for state and input observer design

International audienceIn this note, an alternative to classical methods for observer design is discussed, based on a dual control approach: it is indeed highlighted how an observer (at least approximate) can be obtained for a system by designing a control law for an auxiliary copy of this system, so that it tracks the system output. An important ingredient in this approach is the use of high-gain in the control design. The strategy is illustrated by various examples, including the case of unknown input reconstruction

Prediction of Wind Park Output Power based on Turbine Effective Wind Speed - a Model Identification Approach

International audienceThis paper deals with off-shore wind park model identification for output power prediction purpose. The investigated solution is based upon identifying the so-called wind deficiency factor for each turbine and for each wind direction sector. This is done by employing the effective wind speed concept that can establish a link between output power of a wind turbine and the meteorological mast measures. Numerical simulations show the feasibility of the proposed approach

Identification-based prediction of wind park power generation

International audienceThis paper approaches the problem of output power prediction for an off-shore wind park. To this end, a so called wind deficiency factor for each turbine and for each wind direction sector is identified using past data. This identification is done by using the effective wind speed concept that can establish a link between output power of each wind turbine and meteorological mast measures in terms of wind speed and direction. Based on forecast wind speed and direction, a wind park simulator that uses the previously-identified deficiency factors, computes future output power time evolutions. Numerical simulations show the feasibility of the proposed approach

Determination of the Power Transformer Efficiency Monitoring the Electrical Insulation Parameters

The paper presents the monitoring methods for the insulating state of power transformers. For a transformer with oil-paper insulation system the ageing curves was obtained using the criterion of insulating resistance, and the correction coefficients for directly obtained the real insulation resistance. All these measurements are realized on the same transformer with S = 250 MVA power and 400/110/20 kV voltages. Using graphical method, the lifetime of insulation, respectively, of transformer is possible to be quickly obtained

Control-based strategy for e ffective wind speed estimation in wind turbines

International audienceThis paper deals with a control-based observer structure used for e ective wind speed estimation in a wind turbine operating in partial load. The central idea is that this input estimation can be achieved based on system output tracking using a high-gain control loop. One of the consequences is that the system entire state estimation can also be performed. The resulted observer is simple and easy to tune. Numerical simulations show that e ective wind speed is reconstructed with a good dynamic, thus being able to replace anemometer information for diagnosis and output power assessment purposes. The basic idea of this paper is quite general, as it can be applied to a large class of systems having unknown input

HILS-based Demonstrator for Real-time Validation of Robust Control Strategies: An Electric Vehicle Application Case

International audienceThis paper presents a demonstrator featuring closed-loop coupling of a robust-control-designed Power Management System (PMS) with a simulator-in the form of a mathematical model-of a multiple-storage-based microgrid, playing the role of the plant. The PMS ensures a reliability-aware coordinated control of the different energy storages, of various technologies, supplying a typically irregular load. Some usual applications are in stationary or mobile microgrids, like power supply systems on board of electric vehicles, the latter being the use case exemplified here. Being designed upon the hardware-in-the loop simulation (HILS) principle, the demonstrator allows calibration and real-time validation of the robust PMS and its pertinent closed-loop real-time tests in laboratory conditions. The rapid prototyping system dSPACE TM MicroAutoBox II is employed for embedding the microgrid model, whereas the robust PMS is embedded on a TI C2000 microcontroller unit. General design requirements and architecture of the demonstrator are detailed, then its customization to the considered application case is presented. Finally, a set of illustrative real-time tests-obtained by using a standard driving cycle-are presented and discussed