Abstract

This paper deals with the development and the performance characterization of a novel Fault-Tolerant Control (FTC) aiming to the diagnosis and accommodation of electrical faults in a three-phase Permanent Magnet Synchronous Motor (PMSM) employed for the propulsion of a modern lightweight fixed-wing UAV. To implement the fault-tolerant capabilities, a four-leg inverter is used to drive the reference PMSM, so that a system reconfiguration can be applied in case of a motor phase fault or an inverter fault, by enabling the control of the central point of the three-phase connection. A crucial design point is to develop Fault-Detection and Isolation (FDI) algorithms capable of minimizing the system failure transients, which are typically characterized by high-amplitude high-frequency torque ripples. The proposed FTC is composed of two sections: in the first, a deterministic model-based FDI algorithm is used, based the evaluation of the current phasor trajectory in the Clarke’s plane; in the second, a novel technique for fault accommodation is implemented by applying a reference frame transformation to post-fault commands. The FTC effectiveness is assessed via detailed nonlinear simulation (including sensors errors, digital signal processing, mechanical transmission compliance, propeller loads and electrical faults model), by characterizing the FDI latency and the post-fault system performances when open circuit faults are injected. Compared with reports in the literature, the proposed FTC demonstrates relevant potentialities: the FDI section of the algorithm provides the smallest ratio between latency and monitoring samples per electrical period, while the accommodation section succeeds in both eliminating post-fault torque ripples and maintaining the mechanical power output with negligible efficiency degradation.

Highlights

  • The model has been entirely developed in the MATLAB/Simenvironment, and its numerical solution is obtained via the Runge–Kutta method, with ulink−5environment, and its numerical solution is obtained via the Runge–Kutta method, a 10 sec integration step

  • It is worth noting that the choice of a fixed-step solver is strictly related to the objectives of this work, in which the model is used for “off-line”

  • Simulations testing the Fault-Tolerant Control (FTC), but it has been selected for the steps of the project, when simulations testing the FTC, but it has been selected for the steps of the project, when the FTC system will be implemented in the Electronic Control Unit (ECU) boards via automatic MATLAB compiler the FTC system will be implemented in the ECU boards via automatic MATLAB compiler and executed in “real-time”

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Summary

Introduction

The global market of Unmanned Aerial Vehicles (UAVs), despite the dramatic economic consequences of the COVID-19 pandemic, is estimated to reach USD 27.4 billion in 2021, and it is projected to increase to USD 58.4 billion by 2026 at a compound annual growth rate of 16.4% [1]. The increasing demand of ecofriendly air operations is driving the design of generation long-endurance UAVs to electrically powered propulsion solutions. Full-electric technologies are expected to obtain large investments in the near future, up to replace conventional Internal Combustion Engine (ICE), as well as hybrid or hydrogen-based solutions [2]. Full-electric propulsion systems would assure lower CO2 -emissions, lower noise, smaller thermal signature (for military applications), higher efficiency, and simplified maintenance [3]. Several reliability and safety issues are still open, especially for long-endurance UAVs flying in unsegregated airspaces.

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