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The most fundamental concept in designing multi-lane smart electromechanical actuation systems, besides meeting performance requirements, is the realization of high integrity. The essential requirements for realizing high integrity (and in any safety-critical system) are hardware redundancy and intelligent monitoring. To correctly detect, identify, isolate and replace redundant components, an intelligent fault detection and fault isolation scheme is required. The effectiveness of any fault detection and fault isolation system is assessed by examining promptness of detection, sensitivity, missed fault detection, the rate of false alarms, and incorrect fault identification. These terms are very much dependent on the threshold values of the monitoring devices imbedded in the system. The main aim of this paper is to provide fundamental consolidation designs and monitoring schemes in different architectures. It will address single-type and two-type summing architectures and highlight feedback sensor integration and monitoring strategies in the former, and explore the suitability of different threshold setting methodologies such as a simulation-graphical based Monte Carlo method, decision theory and analysis of variance. The paper will also address other fundamentals that are essential at the design stage, such as control surface load estimation, force fight (between mismatch lanes) reduction through lane equalization, and threshold setting concepts (scheduled and unscheduled) in a multi-mode operation system. The analysis is based on a four-lane actuation system capable of driving aerodynamic and inertial loads (with two lanes failed) of an aileron control surface similar to that of the Sea Harrier.
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Fawaz Annaz (2005) studied this question.
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