48 research outputs found
Direct Shaping of Minimum and Maximum Singular Values: An H<sub>-</sub>/H<sub>∞</sub> Synthesis Approach for Fault Detection Filters
No full textThe performance of fault detection filters relies on a high sensitivity to faults and a low sensitivity to disturbances. The aim of this paper is to develop an approach to directly shape these sensitivities, expressed in terms of minimum and maximum singular values. The developed method offers an alternative solution to the H-/H∞ synthesis problem, building upon traditional multiobjective synthesis results. The result is an optimal filter synthesized via iterative convex optimization and the approach is particularly useful for fault diagnosis as illustrated by a numerical example.Team Jan-Willem van Wingerde
Closed-loop Aspects in MIMO Fault Diagnosis with Application to Precision Mechatronics
No full textFault detection is essential in precision mechatronics to facilitate maintenance and minimize operational downtime. The aim of this paper is to develop a systematic procedure from identification to accurate nullspace-based fault diagnosis, accounting for the influence of noise and interaction in multivariable closed-loop control configurations. The influence of noise and interaction on the model estimate and fault diagnosis system are investigated through the use of closed-loop operators and by means of an illustrative case study
Digital Twins in Mechatronics: From Model-based Control to Predictive Maintenance
No full textFault diagnosis systems are essential in precision mechatronics to facilitate maintenance and to minimize downtime. The aim of this paper is to describe the current trend in control for precision mechatronics and the related future challenges for digital twin-assisted predictive maintenance as well as recently developed approaches. The future generation of fault diagnosis systems is envisaged to rely on identified physics-based models, enriched by the available real-time data from a large number of sensors and actuators
A closed-loop perspective on fault detection for precision motion control: With application to an overactuated system
No full textFault diagnosis is crucial in high-tech production equipment to minimize operational downtime and to facilitate targeted maintenance. Future high-tech systems have numerous complex closed-loop control systems and require compatible fault diagnosis systems. The aim of this paper is to develop a procedure for decentralized fault detection in the presence of additional feedback interconnections. The influence of the additional feedback interconnections on the fault diagnosis system is investigated by means of an illustrative experimental study that resembles a next generation flexible motion system
Digital twins for precision mechatronics: Predictive maintenance via fault detection and isolation
No full text
Joint Estimation of Additive and Parametric Faults: A Model-Based Fault Diagnosis Approach towards Predictive Maintenance
No full textThe condition of systems, such as production equipment, typically deteriorates over time, increasing the risk of failure and associated unscheduled downtime. Predictive maintenance is a strategy to prevent failure, while maximizing the life cycle of equipment within a system. This paper contributes in this context to the theory of real-time fault diagnosis with an approach that can jointly estimate additive and parametric faults. The proposed fault diagnosis system consists of detection filters which are complemented with a residual evaluator, enabling effective fault isolation and fault estimation for open-loop and closed-loop controlled systems. The effectiveness of this unified approach is illustrated on a mass-spring-damper system
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach
No full textCross-coupled iterative learning control (ILC) can achieve high performance for manufacturing applications in which tracking a contour is essential for the quality of a product. The aim of this paper is to develop a framework for norm-optimal cross-coupled ILC that enables the use of exact contour errors that are calculated offline, and iteration-and time-varying weights. Conditions for the monotonic convergence of this iteration-varying ILC algorithm are developed. In addition, a resource-efficient implementation is proposed in which the ILC update law is reframed as a linear quadratic tracking problem, reducing the computational load significantly. The approach is illustrated on a simulation example.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Team Jan-Willem van Wingerde
