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2023 International Conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Nicola, Claudiu-Ionel Nicola, Marcel National Institute for Research Development and Testing in Electrical Engineering Icmet Craiova Research Department Craiova Romania University of Craiova Department of Automatic Control and Electronics Craiova Romania

ISBN: (纸本)9798350322972

Begining from the need to increase the accuracy of Permanent Magnet Synchronous Motor (PMSM) rotor speed estimation in the case of using of sensorless control, this article shows a PMSM sensorless system control structure that embeds a Field Oriented control (FOC) type control approach and a Model Reference Adaptive System (MRAS)-type observer. Furthermore, to achieve superior MRAS observer estimation performance, an Ant Colony Optimization (ACO) computational intelligence algorithm is used to perform optimal settling of the PI controller parameters embedded in the MRAS observer. Another method to increase the estimation performance for the MRAS observer is to use a special machine learning like Reinforcement Learning (RL) namely Twin-Delayed-Deep-Deterministic Policy Gradient (TD3)-type agent that can provide additional signals after proper training to obtain a more accurate estimate for the rotor speed of PMSM. The control structures, operating equations and control algorithms are presented. The validation of the proposed improvement methods for PMSM rotor speed estimation is achieved through numerical simulations using Matlab/Simulink programming environment. © 2023 IEEE.

关键词： Reinforcement learning

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Analysis and Classification of Simulated Partial Discharge Signals Using DWT and SVM

Analysis and Classification of Simulated Partial Discharge S...

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2023 IEEE International Conference on electrical, Computer and Energy Technologies, ICECET 2023

作者： Nicola, Marcel Nicola, Claudiu-Ionel Research Department National Institute for Research Development and Testing in Electrical Engineering - Icmet Craiova Craiova Romania Department of Automatic Control and Electronics University of Craiova Craiova Romania

ISBN: (纸本)9798350327816

Based on the importance of early detection of structural changes and insulation damage of high voltage (HV) equipment by measuring partial discharge (PD), in order to perform optimal maintenance that has the effect of both increasing the safety of non-operation and increasing the lifetime of HV equipment, this paper presents a method for automatic classification of theoretically simulated PD pulse signals based on support vector machines (SVM). A time and frequency characterisation of the main PD sources using the signal processing tool PD flex and the Matlab environment will be presented. Also, the paper presents the patterns for the main types of PD sources, and for the main types of signals that can be assimilated with the corresponding PD pulses are analytically described in the form of four categories of signals, their theoretical waveforms, their main characteristics in the time and frequency domain that will be used for training and signal recognition using SVM along with de-noising of these signals using Discrete Wavelet Transform (DWT). The main working assumptions needed in future approaches to achieve automatic classification of even PD source types according to the characteristics of PD pulse signals and the type of equipment under test are presented. © 2023 IEEE.

关键词： classification discrete wavelet transforms partial discharge signal de-noising support vector machines

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Delay Compensation in the PMSM control System by Using Predictive-PI controller

Delay Compensation in the PMSM Control System by Using Predi...

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2023 IEEE International Conference on electrical, Computer and Energy Technologies, ICECET 2023

作者： Nicola, Marcel Nicola, Claudiu-Ionel Popescu, Marian Iacob, Andreea Pîrvu, Cristian National Institute for Research Development and Testing in Electrical Engineering -ICMET Craiova Research Department Craiova Romania University of Craiova Department of Automatic Control and Electronics Craiova Romania

ISBN: (纸本)9798350327816

Based on the positive outcomes of using PI-type controllers in PMSM (Permanent Magnet Synchronous Motor) control systems, this paper introduces an extension of this controller type, namely Predictive-PI, to compensate for delays in the control system during sensor readings and computational effects involved in control algorithms and state observers. This extended controller offers a lower complexity suitable for real-time applications. The structure of the initial PI controller is improved by predicting the order size at the current time using the information given by the controller commands over the previous time interval equal to the delay, which is a predictive PI type controller. The structure and equations for a predictive PI controller are presented, along with numerical simulations for different delay values. The predictive PI controller demonstrates effective control performance and maintains a low complexity control algorithm, making it well-suited for real-time implementations. © 2023 IEEE.

关键词： closed-loop delay PMSM Predictive-PI transfer function

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Fuzzy-Model-Based Fault-Tolerant control for Stochastic Re-Entrant Manufacturing systems

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IEEE Transactions on systems, Man, and Cybernetics: systems 2025年第5期55卷 3542-3556页

作者： Zhang, Kexin Gao, Qing Ding, Steven X. Lu, Jinhu Qiu, Jianbin Guo, Yige Beihang University School of Cyber Science and Technology Beijing100191 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Hangzhou Innovation Institute Beihang University Hangzhou310051 China Zhongguancun Laboratory Beijing100095 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150001 China Zhongguancun Laboratory Beijing China

This study addresses the problem of guaranteed cost fault-tolerant fuzzy control for multiline re-entrant manufacturing systems (RMSs) against stochastic disturbances and workstation faults. Initially, a nonlinear hyperbolic impulsive partial differential equation model is employed to describe the complex and hybrid dynamics of RMSs suffering from unexpected faults within the working stations, and then the corresponding approximation T-S fuzzy model is constructed. In what follows, with the aid of the parallel distributed compensation fuzzy control scheme, the main results of stability analysis and controller synthesis for the closed-loop re-entrant manufacturing control system are derived using a timer-dependent Lyapunov functional with spatio-temporal auxiliary variables. It is found that by means of the proposed fault-tolerant control approach, the RMS can be effectively and robustly driven to a desired production mode with steady feeding and production rates while the upper bound of a quadratic cost function is minimized. Finally, the effectiveness of the proposed control approach is validated through numerical simulations. © 2013 IEEE.

关键词： Fuzzy control

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Output Tracking control of a Nonlinear System Based on Takagi-Sugeno Fuzzy Model: Generalized Partial Eigenstructure Assignment Approach

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IEEE Access 2024年 12卷 18520-18535页

作者： Soltanian, Farzad Shasadeghi, Mokhtar Mobayen, Saleh Skruch, Pawel University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2M9 Canada Shiraz University of Technology Electrical Engineering Faculty Shiraz71557-13876 Iran National Yunlin University of Science and Technology Graduate School of Intelligent Data Science Yunlin Douliu64002 Taiwan AGH University of Science and Technology Department of Automatic Control and Robotics Kraków30-059 Poland

This paper introduces an innovative optimal control approach to achieve output tracking while incorporating H2-performance specifications in a specific class of nonlinear dynamics modeled by the Takagi-Sugeno fuzzy model (TSFM). The primary innovation lies in extending partial eigenstructure assignment to TSFM-based nonlinear systems within the framework of sliding mode control (SMC). We propose a two-step methodology for designing optimal sliding surface gains. Initially, optimal state feedback gains are computed for each rule consequence containing a linear subsystem, adhering to predetermined eigenvalues and satisfying H2-performance criteria. Subsequently, using a convex combination, the overall state feedback gain is calculated and utilized to design sliding matrix gains. The sliding matrix gains are then determined by strategically combining previously calculated state-feedback gains in a convex optimization problem. We reframe the output tracking strategy as a stabilization problem using a virtual control input and reformulate the optimization task concerning tracking state errors. This process yields state feedback gains, sliding gains, and the formulation of the virtual control input. The effectiveness of our approach is verified through comprehensive simulations, emphasizing its capability in addressing output tracking challenges within nonlinear systems. © 2013 IEEE.

关键词： Transient analysis

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Nonlinear Study of SRG Configurations Using Finite Element Analysis 23

Nonlinear Study of SRG Configurations Using Finite Element A...

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23rd International Middle East Power systems Conference, MEPCON 2022

作者： Abdo, Asmaa E. Ghoneim, Walid A. M. Ashour, Hamdy A. Arab Academy for Science Electrical Engineering and Automatic Control Department Technology and Maritime Transport Alexandria Egypt

ISBN: (纸本)9781665463638

This paper, presents the non-linear analysis of the most common configurations of Switched Reluctance Generators (SRG). Finite Element Analysis (FEA) of two-phase (4/2), three-phase (6/4), and four-phase (8/6) SRGs have been carried out using (ANSYS Maxwell 16 - 3D Modeler - Transient solution). The simulation process was performed utilizing the Asymmetric Half Bridge Converter (AHBC) model as an external excitation circuit for the SRG model. Research interests have been dedicated recently to SRG as a promising and reliable candidate in both low-speed and high-speed applications, especially for small-scale renewable applications. However, this study includes the non-linear validation for both the conventional short-pitched and the fully-pitched SRG winding configurations at low-speed simulation conditions. This study aims to analyze the non-linear performance of SRG and validate the influence of stator and rotor pole angles (\beta{s} and \beta{r}) variation in addition to the excitation current patterns on the induced output voltage. The dynamic performance of SRG has been simulated, with the exact description of rotor angular position, number of conductors per phase, and the excitation current pattern for each case study. The FE simulation was applied to the same SRG test model;i.e., the same dimensions, the same angular speed, and the same number of conductors per phase. Moreover, SRG FEA output results have been recorded and compared to the corresponding results delivered from a related SRG linear analysis study done by the authors;hence the final proposed design was highlighted for further prototype implementation. The outcome of this study provides the recommended SRG design that can generate the maximum induced output voltage for the same machine design parameters. © 2022 IEEE.

关键词： Finite element method

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Finite-time robust performance improvement for non-linear systems in the presence of input non-linearity and external disturbance

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IET control Theory and Applications 2023年第6期17卷 672-682页

作者： Wang, Haoping Ghaffari, Valiollah Mobayen, Saleh Bartoszewicz, Andrzej Fekih, Afef Assawinchaichote, Wudhichai School of Automation Nanjing University of Science and Technology Nanjing China Department of Electrical Engineering Persian Gulf University Bushehr Iran Graduate School of Intelligent Data Science National Yunlin University of Science and Technology Yunlin Douliou Taiwan Institute of Automatic Control Lodz University of Technology Lodz Poland Department of Electrical and Computer Engineering University of Louisiana at Lafayette LafayetteLA United States Department of Electronic and Telecommunication Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand

The main focus of this research is on improving the performance of dynamic systems with actuator non-linearities and time-varying disturbances. To this end, using the concept of finite-time stability, a novel observer is presented to estimate the disturbances in systems with input non-linearities. Then, introducing an innovative sliding manifold, a robust observer-based technique is derived to guarantee the finite-time stability of the sliding surface. Hence, the closed-loop system would be stable in the presence of hard non-linearities and time-varying disturbances. The performance of the proposed approach was assessed in using a simulation study of two numerical examples. The obtained results and comparison with a conventional method confirmed the benefits of the suggested approach. © 2022 The Authors. IET control Theory & Applications published by John Wiley & Sons Ltd on behalf of The Institution of engineering and Technology.

关键词： Closed loop systems

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Filler Size Effect on Tuning electrical,Mechanical,and Thermal Properties of Field Grading Composites

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CSEE Journal of Power and Energy systems 2023年第2期9卷 743-750页

作者： Xiaolei Zhao Jun Hu Xiao Yang Zhiwen Huang Xingming Bian Yuanbao Lin Jinliang He Key Laboratory of Control of Power Transmission and Conversion Ministry of EducationShanghai Jiao Tong UniversityShanghai200240 China Department of Chemistry University of OxfordOxfordOX13TAUK State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua UniversityBeijing 100084China North China Electric Power University School of Electrical and Electronic EngineeringBeijing 102206China

field-grading composite with a low switching field,stable nonlinear conductivity performance,and excellent mechanical and thermal properties was prepared by using hybrid ZnO micro-spherical varistors of different particle sizes as the fillers and silicone rubber as the *** hybrid effects of particle size on the electrical,mechanical,and thermal properties of ZnO micro-spherical varistors composites are *** increase in the ZnO micro-spherical varistor size in the composites will lower the switching field but lead to degradation of the mechanical properties and stability of the nonlinear conductivity *** silicone rubber is incorporated with a mixture of hybrid ZnO micro-spherical varistors of different sizes at an optimal mass ratio range exhibited low switching field,stable nonlinear conductivity performance,and excellent mechanical and thermal *** findings are helpful to comprehensively regulate performance of advanced field-grading materials and increase stability and durability of electronic and electrical devices.

关键词： electrical properties field grading material hybrid effect mechanical properties ZnO micro-spherical varistor

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Design of a Mechatronic Endoskeleton Robot for Inspection Tasks: Model Reference Adaptive control (MRAC) for Serpentine Locomotion with Stability Analysis 17

Design of a Mechatronic Endoskeleton Robot for Inspection Ta...

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17th International Conference on Developments in esystems engineering, DeSE 2024

作者： Al Mhdawi, Ammar K. Wright, Nick Younis, Mohammed I. Humaidi, Amjad J. School of Engineering and Sustainable Development De Montfort University LeicesterLE19BH United Kingdom Department of Electrical and Electronic Engineering Newcastle University Newcastle United Kingdom Department of Computer Engineering University of Baghdad Iraq Department of Control and Systems Engineering University of Technology Baghdad Iraq

ISBN: (纸本)9798350368697

An advantage of bio-inspired robots is the versatility of their locomotion on a wide range of terrains that conventional robots are not able to traverse. The snake-like robot, which is a mechanism designed to move in the manner of a biological snake, is an example of a bio-inspired platform. This paper aims to implement and validate, using real and simulation tests on flat terrain, a snake-like endoskeleton robot that permits serpentine movement with adaptive control capabilities. The prototype mechatronic robot was comprised of eleven segments that were 3D printed sequentially. A simulation using Matlab’s Multibody Mechanics tool determines the necessary torques for each motor. In this simulation, a parameterized virtual model of the robot is created, where rectilinear gaits are programmed. In accordance with simulation and experimental results, the robot undertakes different times to reach the goal trajectory or end points depending on the frequency, angular position, and wave length (duty cycle). As a result, there is a high degree of similarity between the simulation tests and those conducted with the prototype endoskeleton. Furthermore, the robot is equipped with machine vision capabilities that allow it to detect faults within oil and gas pipes for the purpose of inspection and maintenance. Furthermore, a Model Reference Adaptive control (MRAC) method based on Lyapunov stability analysis and MIT rules is proposed. The theoretical analysis and numerical simulation show that the designed trajectory tracking control law can make the multi-joint snake-like robot track the trajectory of the front joint when the robot encounters disturbances and stabilize the angular position and velocity of the first two head joints when disturbances occur. © 2024 IEEE.

关键词： Model reference adaptive control

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Fractional-order binary bat algorithm for feature selection on high-dimensional microarray data

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Journal of Ambient Intelligence and Humanized Computing 2023年第6期14卷 7453-7467页

作者： Esfandiari, Ahmad Farivar, Faezeh Khaloozadeh, Hamid Department of Computer and Mechatronics Engineering Science and Research Branch Islamic Azad University Tehran Iran Department of Systems and Control Faculty of Electrical Engineering K. N. Toosi University of Technology Seyed-Khandan Shariati Ave. Tehran16317-14191 Iran

High-dimensional microarray data suffer from the confounding effects of irrelevant, redundant and noisy genes on the scalability and efficiency of classification algorithms. In order for an effective dimensionality reduction and the selection of informative genes, this paper introduces a novel approach using fractional calculus concepts. This study proposes a modified version of binary the bat algorithm named fractional-order binary bat algorithm (FBBA) able to control the convergence process using more historical memory of bat behaviors. The gene selection technique contains a two-stage hybrid filter/wrapper method which employs a new correlation-based feature clustering (CFC) algorithm in the filter stage and the FBBA in the wrapper stage. The CFC-FBBA is evaluated on ten microarray gene expression datasets by employing the support vector machine classifier with a k-fold Monte Carlo cross validation data partitioning model. Furthermore, the results show that the CFC-FBBA, while minimizing the size of the gene subset, achieves the highest classification accuracy in most cases compared to several state-of-art hybrid techniques. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Classification (of information)

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