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2011 - Thèse soutenue par Fayu WAN

Publié le 06-07-2011

Solutions logicielles défensives pour améliorer la susceptibilité électromagnétique d'un microcontrôleur à partir d'une mesure in-situ du niveau de perturbation.

This dissertation discusses the immunity measurement and improvement of intelligent components in the automotive field.

The wide frequency band and the failure criterion to represent the behavior of component under the pressure of interference are the difficulties in the immunity measurement. To improve the immunity of components without adding too much cost is another main task in this dissertation.

The dissertation is divided into three chapters. The first chapter concentrates on the immunity measurement. The injection circuit is important to the immunity test bench because it limits the measurement bandwidth and the accuracy of the measurement. A broadband bias tee extends the measurement bandwidth from 15 kHz to 1 GHz. A measurement algorithm, which could avoid the non-uniform comparison between the sampling data and the reference signal, improves the accuracy of the immunity result. Two failure criterions can identify the linear and nonlinear distortion of an analogue digital converter (ADC).

The second chapter presents interference signal detection and compensation technique. A simple technique is used to detect the continuous wave interference (CWI) on the power supply and at the analogue input port of the microcontroller without adding too many components. The simulation of the schematic circuit and the measurement can validate the effectiveness of the method. Finally, based on the detection result; a compensation technique compensates both the interference signal on the power supply and at the input port of the microcontroller.

The third chapter is composed of three small sections. The first section introduces the defensive software methods and hardware methods to protect the microcontroller. Then the second section presents the application of the interference detection technique to improve the immunity of components in the automotive field. Finally the third section gives the influence of interference signal on a proportional integral derivative (PID) control system; the PID control system is modelled in Matlab, also the interference detection is used in the fault tolerant control field to avoid the false fault detection.

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