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This paper presents a study of a regenerative braking system for a Torus machine. The focus is on the analysis of a potential application in a system for energy recovery from regenerative braking. The energy generated is supplied to an energy storage system. One of the main results of this method is the possibility of braking intensity control through control of the energy stored in the inductance...
This paper proposes the use of an analog switching function in sliding mode control for a brushless DC motor speed, with the objective of input chattering reduction. The sliding mode control topology is used in the mechanical speed loop control as well as in the stator current loop control. The results show a good chattering reduction, a good machine performance and a good robustness of the controller...
This work proposes a study about using the successively evaluated state space model-based predictive control to drive a permanent magnet synchronous motor. The objective of this paper is to show as the control constraints and the anticipative reference characteristics influence in the drive. Still, it is done a brief analysis about the improvement of the drive efficiency with the proposed control...
In this paper a multisource renewable energy system for high-current applications is proposed. The power architecture is based on a multi-input power converter including control and reconfiguration subsystems. Independently of the type of connected renewable sources, a proper control of the output DC voltage bus is provided as well as a proper control on the operating point of each renewable source...
Bicycles (from bike sharing systems) are being introduced in cities as a clean, flexible, inexpensive shared personal mobility vehicle. New features were and are under development on smartBikeEmotion project: automatic location, authentication and locking/unlocking, healthcare capabilities, information services, electric motion assistance, etc.. Entitled as smart bicycle, this vehicles battery is...
A robust fuzzy control design based on gain and phase margins specifications for nonlinear systems, with time delay, via multiobjective genetic algorithm, in the continuous time domain, is proposed. A Fuzzy C-Means (FCM) clustering algorithm estimates the antecedent parameters and the rule number of a Takagi-Sugeno fuzzy model, through from input and output data of the process, whereas the least squares...
This paper presents an overview of a specific application fo computational intelligence techniques, specifically, evolving fuzzy systems: online fuzzy inference system with Takagi-Sugeno evolving structure, which employs an adaptive distance norm based on the maximum likelihood criterion online with instrumental variable recursive parameter estimation. The performance and application of the proposed...
In this paper, a novel adaptive control law for the micro/nano positioning system is proposed, where the parameterized hysteresis model is employed. The formulated control law guarantees the global stability of the controlled positioning system, and the position error can be driven to approach to zero asymptotically. The advantage is that only the parameters needed in the control design are estimated...
In order to extend the lifetime of lithium-ion batteries, an advanced thermal management concept is investigated. In battery modules, different cell temperatures lead to higher efforts in cell balancing and reduce the system's lifetime. Especially when battery systems with phase change material operate outside the phase transition range high temperature gradients can occur that result in different...
This paper presents the aging test results of a 100Ah prismatic LiFeMnPO4 battery cell at low temperatures. Accelerated aging tests have been carried out on 4 cells to address the effect of cold temperatures on Lithium-ion (Li-ion) batteries. Three of them were aged through a normalized driving cycle at three temperature tests (−20°C, 0°C and 25°C). The calendar test was carried out on one single...
In photovoltaic standalone systems it is crucial to absorb most of the available energy. Thus, in order to extract the maximum power of a solar panel for a given set of climatic conditions, it is used maximum power point tracker (MPPT). The MPPT consists in a power converter which controls the solar panel voltage. In this context, this work compares the instantaneous and dynamic efficiency of three...
This paper introduces a simulation model of battery-ultracapacitor hybrid energy storage system. The study aims at creating adequate model to investigate the benefits of energy storage system hybridization for an electric vehicle. The experimental tests have been carried out in order to identify the parameters of lithium battery and ultracapacitor. The dynamic models are able to simulate terminal...
Recently, special attention has been devoted to the health monitoring aspect of power electronics devices since it became an essential step to ensure and guarantee the availability of the overall power electronics systems. Dc-link capacitors, despite their type or technology are one of the main devices to monitor since they are responsible of more than 30% of the power electronics equipment breakdowns...
This paper presents a combinatorial approach used to solve an optimization problem including component sizing and energy management control applied to an offroad hybrid electric vehicle with durability constraints. The problem under consideration is the optimization of the hybrid power supply system of an electric mini-excavator. It is composed of a fuel cell system and one energy storage system,...
This paper proposes a new ZCS non-isolated bidirectional buck-boost DC-DC converter for energy storage applications. The conventional bidirectional converter was derived with auxiliary resonant cell to obtain ZCS turn-on/turn-off condition of the main switches. The proposed converter was operated in boost and buck modes with soft-switching operations in order to minimize the current stresses and switching...
This paper presents a 10 years experience of data driven models for sensor validation applied for petroleum and natural gas industry. Auto-associative kernel regression has been used as the main modeling method. The models achieved were embedded in software called Sentinell, which is used for sensors diagnosis. The software is being used in a natural gas compression station, and it has been evaluated...
There has long been a concern to improve the techniques of image processing for PCB's inspection. However, it is noticed the focus is mainly on the inspection of PCB in mass production. Even with a low volume of production, the small series production has become increasingly relevant. This work presents an image processing pipeline for mounted PCB inspection in small series production, strongly based...
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