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This project aims to study the operation of a magnetic field sensor based on CMOS transistors, for the detection of bio-particles using magnetic beads. At first, the study will go through an analysis of the circuit and its design on Cadence. The overall assembly will then be studied and set to verify its proper operation. The rest of the work will consist in the optimization of parameters by parametric analyzes, in order to improve the characteristics of the sensor and to maximize the threshold of detection of the magnetic beads. Finally, for the purpose of optimizing the detection threshold, another magnetic field detection circuit will be designed.

International audience; The building is the largest consumer of energy, before the transport and industry. It also accounts for 25% of emissions of carbon dioxide on the national level, it consumes a lot of energy for the production of domestic hot water (DHW) and the heat and cold production. For this reason, the building is considered a huge reservoir of potential energy savings, hence the existence of numerous research studies on this topic, [1]. So to reduce this consumption we thought to integrate renewable sources of energy (RES) using a control strategy of DC building. The objective of this paper is to present a model of a building equipped with RES, different electrical loads, and behavior of the energy consumption of a building in real time using multi-physics description software package known as Simscape and we propose also a 230V DC microgrid which consists of a 20 KWp photovoltaic panel, batteries and DC loads and also a hierarchical control strategy to ensure balance power of the DC microgrid and the maintenance of common DC bus voltage is presented.

In this paper, a high performance fully integrated 900 MHz analog front end for UHF RFID tag EPC C1 G2 standard protocol is presented. The proposed analog front end consists of a voltage regulation which consists of an RF to DC converter, voltage regulator circuit which regulated the DC voltage to prefer value (0.5V), ASK modulator/demodulator, a clock generator and a power on reset circuit. To minimize the power consumption of RFID transponder we propose the minimizing of the input voltage of the converter. Proposed regulator is designed under following conditions: RF frequency’s 900 MHz, 50 Ω antenna, a sensitivity of -24 dBm and a maximum power consumption of 1 µW. At 0.5 V proposed demodulator can demodulate the minimum input power -24 dBm for a modulation index of 37–100 % with 160 kbps data rates and consumes only12.74 nW. The power consumption and layout of the analog front end proposed in this work are about 1 uW and only 79 μm × 67 μm respectively. The simulation results dawn in 0.18 μm CMOS technology confirm the performance of the proposed analog front-end.

The Renewable Energy Sources (RES) are more and more mixed and exploited in urban site buildings. The main goal of this paper is to understand the nonlinear dynamics of the energy consumption of a building in real time. This way will lead us to predict, in real time, the energy needed depending on the weather. The knowledge of good models is essential to design efficient predictors. This paper develops a simulation model for energy consumption and production of a house equipped with a multiple RE sources systems (PV, Thermal, Wind and storage system). Storage using batteries is also considered. This forward prediction is useful for the Energy Management System that will control the energy sources for the power production answering the demand. After the analysis of house consumption for thermal heating and the classical loads, we consider the modeling of the energy source. This analysis will be used to try new real time management approaches which decide on the optimum connection of the RES to be used for the power demands at each time instant depending on the weather conditions and the Hybrid RES operating states.

VSAS (Variable Structure Automatic Systems) control methodology is applied to clarify the rationale behind Maximum Power Point Tracking and get the best optimization algorithm. Two algorithms are developed the Modified and Enhanced Perturb and Observe Algorithm (MEPO) the Robust Unified Control Algorithm (RUCA). The maximum power is computed online using a very simple algorithm. Compared to the other algorithms like Perturb and Observe (PO), Hill Climbing, Incremental Encoder (InCod) and and SMC approach it is proven more efficient and faster despite using low frequency commutation. The proposed MPPT has several advantages: simplicity, high convergence speed and is independent on PV array characteristics. The obtained results have proven that the MPPT is tracked even under sudden change of irradiation level.

This paper presents, after a comparative review of the most often used algorithms, a control methodology that clarifies the control problems and shows how to design a robust control to track the maximum power point in VSAS. This approach clarifies the rationale behind MPP dynamic tracking problem and shows how to be optimal. This technique called VSAS (Variable Structure Automated Systems) is compared with some techniques existing in literature like PO, HC, InCond and SMC approach. The maximum power is computed online using a Modified Enhanced Perturb and Observe (MEPO) algorithm and a Robust Unified Control Algorithm (RUCA). The proposed MPPT has several advantages: simplicity, high convergence speed, robustness and is independent on PV array characteristics. The algorithm is tested under various operating conditions. The results show that the MPPT is tracked even under sudden change of irradiation level.