Moving towards the more electric aircraft to be able to replace mechanic, hydraulic and pneumatic components of an aircraft, the aircraft industry calls for new technologies able to support this trend. One of these te...
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Moving towards the more electric aircraft to be able to replace mechanic, hydraulic and pneumatic components of an aircraft, the aircraft industry calls for new technologies able to support this trend. One of these technologies is the development of advanced electro-mechanical actuators for aircraft control surfaces. Step by step hydraulic actuators are replaced by their electro-mechanical alternatives featuring weight and cost savings. As hydraulic actuators are used for decades by the aircraft industry, they are augmented with advanced signal and model based fault detection and diagnosis systems able to monitor the actuator and initiate adaptations in case of failures. For electro-mechanical actuators such advanced monitoring systems are still in the initial stages. In this paper, fault detection and isolation filters are designed by applying advanced residual filter synthesis algorithms to be able to monitor the sensor of electro-mechanical actuators. This paves the way for possible adaptations in electro-mechanical actuator systems in case of failures.
The reliable detection of faults located in the control loop of safety critical systems is an important aspect in reducing potential hazards induced by possible faults. Any fault detection and diagnosis system for a s...
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An integrated fault diagnosis based fault tolerant longitudinal control system architecture is proposed for civil aircraft which can accommodate partial or total losses of angle of attack and/or calibrated airspeed se...
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This paper presents the torque vectoring control concept for a vehicle with two powerful wheel individual electric drives at the rear axle. The direct yaw moment control which is enabled by the torque difference offer...
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An investigation on the robustness of a torque vectoring control based on an inverse disturbance observer architecture for a rear wheel driven vehicle with electric single wheel drives is presented within this contrib...
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An integrated fault diagnosis based fault tolerant longitudinal control system architecture is proposed for civil aircraft which can accommodate partial or total losses of angle of attack and/or calibrated airspeed se...
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An integrated fault diagnosis based fault tolerant longitudinal control system architecture is proposed for civil aircraft which can accommodate partial or total losses of angle of attack and/or calibrated airspeed sensors. A triplex sensor redundancy is assumed for the normal operation of the aircraft using a gain scheduled longitudinal normal control law. The fault isolation functionality is provided by a bank of 6 fault detection filters, which individually monitor each of the 6 sensors using robust low order LPV residual generators. In the case of losses of up to 5 sensors, a fault estimation technique based on LPV estimators can be employed to reconstruct the missing sensor information necessary for gain scheduling. In the worst case of a total failure of all 6 sensors, a robust constant longitudinal control law is employed which ensures a basic longitudinal control performance. The proposed control architecture fulfils the basic requirements formulated in the Benchmark Problem in the RECONFIGURE project.
The reliable detection of faults located in the control loop of safety critical systems is an important aspect in reducing potential hazards induced by possible faults. Any fault detection and diagnosis system for a s...
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The reliable detection of faults located in the control loop of safety critical systems is an important aspect in reducing potential hazards induced by possible faults. Any fault detection and diagnosis system for a safety critical system has to fulfill strong safety specifications which can be expressed in terms of different performance criteria as detection time performance, missed detection rate, or false alarm rate. To satisfy all design requirements in the presence of unknown external signals and parametric uncertainties a tuning of the free parameters in the fault detection and diagnosis system often becomes necessary after the design of residual filters. In this paper an advanced approach to tune these free parameters based on a multi objective parameter optimization setup is presented.
Motion simulators based on industrial robots can produce high dynamic accelerations and velocities compared to classical hydraulic hexapod systems. In case of emergency stops, large and possibly harmful accelerations ...
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Motion simulators based on industrial robots can produce high dynamic accelerations and velocities compared to classical hydraulic hexapod systems. In case of emergency stops, large and possibly harmful accelerations can occur. This paper aims to provide an optimization procedure to generate worst case trajectories in order to test for these harmful accelerations, by maximizing the kinetic energy prior the emergency stop. The dynamical and mechanical limits of the robot are considered as constraints of the optimization criterion. An exemplary worst case trajectory is simulated using a braking model and the resulting Head Injury Criterion (HIC) is calculated and compared with older tests, using non-optimized trajectories. A significant higher, yet with the current robot dynamics not harmful HIC value can be generated.
A lifting-free computational method is proposed to solve approximate fault detection and isolation problems for periodic systems using an ℋ 2 -optimal model matching approach. The synthesis procedure relies on two key...
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A lifting-free computational method is proposed to solve approximate fault detection and isolation problems for periodic systems using an ℋ 2 -optimal model matching approach. The synthesis procedure relies on two key computational procedures: a numerically reliable algorithm to determine least order annihilators of periodic systems to reduce the periodic ℋ 2 -optimal model matching problem to a simpler standard form and a recently developed algorithm to compute inner-outer factorizations of periodic systems which allows a further reduction to a ℋ 2 minimal distance problem. If the resulting fault detection filter is not stable and/or not causal, then a final stabilization step is performed using periodic coprime factorization techniques. The overall computational algorithm has strongly coupled computational steps, where all available structural information at the end of each computational step are fully exploited in the subsequent computations.
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