The existing normative and technical documentation of operating organizations does not allow for the reliable organization of the minimal possible inspection zone. The article presents research on the implementation o...
The existing normative and technical documentation of operating organizations does not allow for the reliable organization of the minimal possible inspection zone. The article presents research on the implementation of justified inspection zone for fault location on overhead transmission lines of 110 kV and above. The fault location research was carried out on an imitation model in the Simulink / MATLAB software package. Fault location formulae developed by the authors were used under consideration of multitude factors influencing the measurement using the Monte Carlo method. Only the methodological error of fault location was taken into account in the calculation for the implementation of the inspection zone. The most probable (justified) inspection zone was calculated based on the values of fault locations obtained using the calculation formulae. The generalized Gaussian distribution (GGD) and the functions of mathematical expectation and standard deviation were used to implement the justified inspection zone.
This paper builds on a body of work in the community which is focussed on sharing learning and teaching resources, especially those which might support a first course in control. Here attention is given to some of the...
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This paper builds on a body of work in the community which is focussed on sharing learning and teaching resources, especially those which might support a first course in control. Here attention is given to some of the mathematical, analytical and numerical computations which are required to support simple system and feedback analysis and design. The aim is to provide resources which allow students to focus on core concepts and understanding so that the numerical computations are not an obstacle to their investigations. More specifically, this paper focuses on a number of MATLAB livescript files which have been produced to help students visualise the impact of parameter and design choices on system behaviour, while simultaneously empowering them to understand the source code and thus upskill them for the future. The paper gives an overview of the livescripts available so users can decide whether these could be useful in their own context; all are freely available on the author's website (Rossiter, 2021).
control of multi-agent systems with physical couplings is motivated by their engineering applications, such as multiple mass-spring-damper systems, power grids, etc., in which each agent not only has information commu...
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Slot coating is a widely used technique in various manufacturing processes. The efficiency of the process mostly depends on the precise control of diverse inputs such as pump rate and gap. However, this method can be ...
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ISBN:
(数字)9798350374261
ISBN:
(纸本)9798350374278
Slot coating is a widely used technique in various manufacturing processes. The efficiency of the process mostly depends on the precise control of diverse inputs such as pump rate and gap. However, this method can be sensitive to minor disturbances in process conditions, which can disrupt the uniformity of the film thickness. To overcome the challenge, through the implementation of the generalized disturbance observer and compensator, the impact of disturbances can be attenuated in the output channel. In addition, by combining with an output tracking controller, the proposed composite architecture effectively compensates the disturbances while guaranteeing the tracking of the specified film thickness across a wide range of situations. The simulation results were illustrated to showcase the effectiveness of the disturbance observer-based optimal tracking control (DOBOTC) system.
This work introduces a method for closed-loop system identification using frequency analysis, employing Empirical Transfer Function Estimation (ETFE). By integrating optimization within a Monte Carlo framework, it enh...
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ISBN:
(数字)9798350373974
ISBN:
(纸本)9798350373981
This work introduces a method for closed-loop system identification using frequency analysis, employing Empirical Transfer Function Estimation (ETFE). By integrating optimization within a Monte Carlo framework, it enhances the precision of ETFE, resulting in minimized frequency response errors compared to actual system data. Leveraging controller information in an offline model fitting scheme, it achieves optimal realization of process dynamics. The method is evaluated on a data center rack-level cooling system, showing Bode magnitude plots of actual and estimated closed-loop and open-loop dynamics, with confidence intervals demonstrating algorithm consistency. Numerical evaluations confirm the feasibility and potential of the approach to improve offline closed-loop system identification performance in the frequency domain, beneficial for analysis and design. There will not be a comparative study for the introduced approach.
This work examines energy-balancing dual port grid-forming (GFM) control for high-voltage direct current (HVDC) transmission. In contrast to the state-of-the-art, HVDC converters controlled in this way do not require ...
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This work examines energy-balancing dual port grid-forming (GFM) control for high-voltage direct current (HVDC) transmission. In contrast to the state-of-the-art, HVDC converters controlled in this way do not require assigning GFM and grid-following roles to different converters. Moreover, this control enables primary frequency control and inertia support through HVDC links. A detailed stability and steady-state analysis results in conditions on the control gains such that i) the overall hybrid dc/ac system is stable, ii) asynchronous ac areas are quasi-synchronous, and iii) circulating power in cyclic topologies is avoided. Finally, a high-fidelity case study is used to illustrate and verify the analytical results.
International trade and logistics are subject to factors including geopolitical instability, climate change, and black swan events such as the unforeseen closure of the Suez Canal. The problem of predicting local pric...
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We study non-parametric frequency-domain system identification from a finite-sample perspective. We assume an open loop scenario where the excitation input is periodic and consider the Empirical Transfer Function Esti...
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ISBN:
(数字)9798350316339
ISBN:
(纸本)9798350316346
We study non-parametric frequency-domain system identification from a finite-sample perspective. We assume an open loop scenario where the excitation input is periodic and consider the Empirical Transfer Function Estimate (ETFE), where the goal is to estimate the frequency response at certain desired (evenly-spaced) frequencies, given input-output samples. We show that under sub-Gaussian colored noise (in timedomain) and stability assumptions, the ETFE estimates are concentrated around the true values. The error rate is of the order of $\mathcal{O}\left(\left(d_{u}+\sqrt{d_{u} d_{y}}\right) \sqrt{M / N_{\text {tot }}}\right)$, where $N_{\text {tot }}$ is the total number of samples, M is the number of desired frequencies, and $d_{u}, d_{y}$ are the dimensions of the input and output signals respectively. This rate remains valid for general irrational transfer functions and does not require a finite order state-space representation. By tuning M, we obtain a $N_{\text {tot }}^{-1 / 3}$ finite-sample rate for learning the frequency response over all frequencies in the ${\mathcal{H}}_{\infty}$ norm. Our result draws upon an extension of the Hanson-Wright inequality to semi-infinite matrices. We study the finite-sample behavior of ETFE in simulations.
The increasing of automation and digitization of 6(10) kV distribution networks remains a relevant task. The solution of this task may be associated with the widespread implementation of digital instrument transformer...
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ISBN:
(数字)9798350349818
ISBN:
(纸本)9798350349825
The increasing of automation and digitization of 6(10) kV distribution networks remains a relevant task. The solution of this task may be associated with the widespread implementation of digital instrument transformers and devices based on them. The article is dedicated to the development of a methodology of the function for determining the faulted section at a single-phase ground fault (SPGF) implemented in a digital instrument transformer 6(10) kV. The methodology involves the modeling of electromagnetic transient processes on the Real Time Digital Simulator (RTDS). The research is carried out on a model of a 10 kV electrical network area with the simulation of various types of single-phase ground faults (e.g. arc faults). The model parameters are varied automatically using a «script». Additionally, a database of real oscillograms containing single phase to ground faults is created to validate the function. The article discusses the main features of data collection and processing specific to the electrical energy sector. The oscillograms obtained from models and real energy objects will be used for conducting high-voltage laboratory tests of digital instrument transformers and the faulted section determination function. The test facility diagram is presented in the article.
Urban traffic congestion remains a pressing chal-lenge in our rapidly expanding cities, despite the abundance of available data and the efforts of policymakers. By leveraging behavioral system theory and data-driven c...
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ISBN:
(数字)9783907144107
ISBN:
(纸本)9798331540920
Urban traffic congestion remains a pressing chal-lenge in our rapidly expanding cities, despite the abundance of available data and the efforts of policymakers. By leveraging behavioral system theory and data-driven control, this paper exploits the Data-enabled Predictive control (DeePC) algorithm in the context of urban traffic control performed via dynamic traffic lights. To validate our approach, we consider a high-fidelity case study using the state-of-the-art simulation software package Simulation of Urban MObility (SUMO). Preliminary results indicate that DeePC outperforms existing approaches across various key metrics, including travel time and CO
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emissions, demonstrating its potential for effective traffic management.
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