The highly demanding operation of electrical machines in aerospace can lead to the degradation of electrical insulation systems within the machine windings over time. This paper presents a novel method for high freque...
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When implementing model predictive control (MPC) for hybrid systems with a linear or a quadratic performance measure, a mixed-integer linear program (MILP) or a mixed-integer quadratic program (MIQP) needs to be solve...
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One-Sided Lipschitz (OSL) fractional order modeling is a top choice for solving the stabilization issue of nonlinear systems. Despite numerous studies on the subject, there remains a gap in understanding when it comes...
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We created Aero Artificial Intelligence (Aero AI), an innovative AI platform for optimal Unmanned Aerial Vehicle (UAV) flight shape design. Aero AI guides designers to select UAV shape parameters intuitively. It assem...
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ISBN:
(数字)9798350360721
ISBN:
(纸本)9798350360738
We created Aero Artificial Intelligence (Aero AI), an innovative AI platform for optimal Unmanned Aerial Vehicle (UAV) flight shape design. Aero AI guides designers to select UAV shape parameters intuitively. It assembles an initial UAV model based on selected parameters for shape evaluation. Then, it utilizes Stanford University Unstructured (SU2) for aerodynamic analysis and employs AI for neural network deep learning to generate reliable aerodynamic parameters without extensive wind tunnel tests for design. Aero AI reduces reliance on wind tunnel tests, saves energy and resources, and expedites the shape design process. AI platforms have permeated human life at an expeditious pace in recent years. Aero AI furnishes instantaneous and personalized responses to aerodynamic parameters. The development of such platforms facilitates a diverse spectrum of aerodynamic configurations and designs from commonplace knowledge-based inquiries to intricate domain-specific topics. By employing natural language processing methodologies, user interrogatives and proffer corresponding resolutions are enabled. The Aero AI platform applies continuous learning algorithms to augment response accuracy and relevance. Being intelligent inquiry-based, ubiquitous applications across myriad domains are possible, including customer service provisioning on web-based platforms, educational instruction aids, enterprise knowledge management, and issue resolution paradigms.
This study addresses a key challenge in the CNC tool machining industry: automated in-machine chip removal. Initially, we designed and manufactured an innovative nozzle, incorporating elastic plastic hoses to replace ...
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In this paper,a new distributed consensus tracking protocol incorporating local disturbance rejection is devised for a multi-agent system with heterogeneous dynamic uncertainties and disturbances over a directed *** i...
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In this paper,a new distributed consensus tracking protocol incorporating local disturbance rejection is devised for a multi-agent system with heterogeneous dynamic uncertainties and disturbances over a directed *** is of two-degree-of-freedom ***,a robust distributed controller is designed for consensus tracking,while a local disturbance estimator is designed for each agent without requiring the input channel information of *** condition for asymptotic disturbance rejection is ***,even when the disturbance model is not exactly known,the developed method also provides good disturbance-rejection ***,a robust stabilization condition with less conservativeness is derived for the whole multi-agent ***,a design algorithm is ***,comparisons with the conventional one-degree-of-freedombased distributed disturbance-rejection method for mismatched disturbances and the distributed extended-state observer for matched disturbances validate the developed method.
作者:
Sejersen, Jonas le FevreKayacan, Erdal
Department of Electrical and Computer Engineering Aarhus University Aarhus C8000 Denmark Automatic Control Group
Department of Electrical Engineering and Information Technology Paderborn University Paderborn Germany
This study presents the conflict-aware multi-agent estimated time of arrival (CAMETA) framework, a novel approach for predicting the arrival times of multiple agents in unstructured environments without predefined roa...
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This work illustrates the use of an Active Disturbance Rejection control (ADRC) scheme for flat multivariable nonlinear systems. After a preliminary suitable dynamic extension of the system's control inputs, guide...
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This work illustrates the use of an Active Disturbance Rejection control (ADRC) scheme for flat multivariable nonlinear systems. After a preliminary suitable dynamic extension of the system's control inputs, guided by the flatness property, we focus on the resulting input-output coupling matrix simplification that preserves the required closed-loop performance. A rather general methodology is presented that simplifies the severe nonlinearities commonly appearing in the dynamic feedback linearization control scheme; linear ADRC controllers are proposed to achieve robustness. Numerical simulations of a non-trivial rocket control example are presented; a clear simplification of the nonlinear dynamic feedback controller is achieved without compromising the performance of a rest-to-rest trajectory tracking task.
In this paper, the problem of backward compatibility of active disturbance rejection control (ADRC) is investigated. The goal is to contextualize ADRC to deliver its interpretations from the established field of linea...
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electrical trees are defects originated and driven by partial discharges(PD)activity and this is the reason why their modelling and simulation are fundamental for the ageing mechanisms comprehension and diagnosis anal...
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electrical trees are defects originated and driven by partial discharges(PD)activity and this is the reason why their modelling and simulation are fundamental for the ageing mechanisms comprehension and diagnosis analyses of insulation systems compound by solid *** study presents a brief review of the different models implemented to simulate PD in electrical trees inside solid *** addition,an improved deterministic model as well as a stochastic model are presented,which allow predicting adequately the PD pulses distribution,in magnitudes and phase,for non‐conducting electrical trees of different shape and *** case studies were simulated and their results exhibit good agreement when compared with measurements presented in the *** is concluded that the main parameters that state the PD behaviour in trees are the inception and extinction voltage mag-nitudes,including their probability distributions,and the tree *** models can be used for prognosis analysis based on on‐line measurements.
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