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10th IEEE international Power Electronics and Motion control conference, IPEMC 2024 ECCE Asia

作者： Li, Zheyu Li, Xiaoyu Zhao, YingYing Li, Kun Zhu, Donghai Zou, Xudong Ministry of Education of China Huazhong University of Science and Technology Power Electronics and Energy Management Key Laboratory China State Grid Anhui Electric Power Co. Ltd. Economic Research Institute China

ISBN: (纸本)9798350351330

The application of MMC-HVDC decouples the frequencies between AC systems, which further deteriorates the inertia of the system. Virtual inertia control has been proposed to alleviate this problem. However, because of the complex coupling among controllers and DC voltage dynamics, the inertial characteristics of the MMC applying this strategy are not clear yet. In this paper, the magnitude-phase motion model of the MMC with virtual inertia control is first established. By analogy with the swing equation of a synchronous generator, the equivalent dynamic inertia of MMC is derived. On this basis, the impacts of each controller and circuit components on the inertia are analyzed. Finally, the analytical results are verified by MATLAB/Simulink simulation. © 2024 IEEE.

关键词： controllers

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Optimal amount of information determination for power system steady state estimation

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ENERGY REPORTS 2022年 8卷 1085-1092页

作者： Asanov, Murad Semenenko, Sergey Matrenin, Pavel Asanova, Salima Safaraliev, Murodbek Rusina, Anastasia Kyrgyz State Tech Univ Dept Theoret Fdn Elect Engn Bishkek Kyrgyzstan Ural Fed Univ Dept Automated Elect Syst Ekaterinburg Russia Novosibirsk State Tech Univ Dept Power Supply Syst Novosibirsk Russia Novosibirsk State Tech Univ Dept Power Stn Novosibirsk Russia Sirius Univ Sci & Technol Soci Russia

On the basis of literature sources analysis, the paper provides the rationale for the necessity of considering the limited digital devices capabilities when designing closed digital control systems for the complex electrical power grids. The problem of design is decomposed into two subproblems: design of current state observation vector digital transmission systems and current controlled process state estimation;design of digital systems for optimal control vector calculation, transmission and control actions realization. The paper presents consideration of the former problem, i.e. design of current state observation vector digital transmission systems and current controlled process state estimation: the mathematical model of digital system of information transmission and state estimation considering speed and reliability of technical means of implementation is presented;the functional structure of simulation complex is developed;the paper provides the formulation of the problem of estimating the optimal amount of information about the control object state, resulting in a solution of computational experiments simulating complex. (c) 2021 The Author(s). Published by Elsevier Ltd.

关键词： Power systems state estimation Optimal amount of information Digital systems Automation of control processes Information gathering Mathematical modeling and simulation Observation vector

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A Novel Model Predictive control Strategy for Continuum Robot: Optimization and Application

A Novel Model Predictive Control Strategy for Continuum Rob...

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international conference on Applied Nonlinear Dynamics, Vibration, and control, ICANDVC 2023

作者： Wang, Yakang Qian, Yuzhe Liu, Weipeng Hebei University of Technology College of Artificial Intelligence Tianjin300130 China

ISBN: (纸本)9789819705535

It is very important for continuous robots to achieve accurate and rapid control. However, the current continuum robot control faces many challenges. First, they often have complex nonlinear dynamics, including kinematics and dynamics equations, which makes it difficult to build accurate models, and conventional control methods do not work well on these complex systems. Secondly, the motion of a continuous robot system is continuous and coherent, requiring real-time control strategies to maintain stability and accuracy. These problems bring great challenges to the control of continuum robots. In this paper, the nonlinear system of continuum robot is modeled, and then the real-time control of continuum robot is realized by the model predictive control method. The real-time control problem of continuum robot is effectively solved and satisfactory control effect is obtained. In other words, for the continuous robot system, nonlinear modeling is first carried out, and then a new linear model of the system is obtained by linearizing and discretizing the nonlinear system model with feedback linearization method. On this basis, model prediction method is applied to the linearized model to achieve effective control of the target Angle. By solving the constraints of the model predictive control method, the control problem of the target Angle is successfully realized. The simulation also verifies the feasibility of the model predictive control method, which can realize the target Angle approaching the target value quickly. Compared with the traditional PD control method, the superiority of the model predictive control method is also proved. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Model predictive control

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Fine-Grained Prediction and control of Covid-19 Pandemic in a City: Application to Post-Initial Stages 24th

Fine-Grained Prediction and Control of Covid-19 Pandemic in ...

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24th international conference on Principles and Practice of Multi-Agent systems (PRIMA)

作者： Barat, Souvik Kulkarni, Vinay Paranjape, Aditya Parchure, Ritu Darak, Srinivas Kulkarni, Vinay Tata Consultancy Serv Res Pune 411013 Maharashtra India Prayas Hlth Grp Pune 411004 Maharashtra India

ISBN: (纸本)9783031212024;9783031212031

Predicting the evolution of the Covid-19 pandemic during its early phases was relatively easy as its dynamics were governed by few influencing factors that included a single dominant virus variant and the demographic characteristics of a given area. Several models based on a wide variety of techniques were developed for this purpose. Their prediction accuracy started deteriorating as the number of influencing factors and their interrelationships grew over time. With the pandemic evolving in a highly heterogeneous way across individual countries, states, and even individual cities, there emerged a need for a contextual and fine-grained understanding of the pandemic to come up with effective means of pandemic control. This paper presents a fine-grained model for predicting and controlling Covid-19 in a large city. Our approach borrows ideas from complex adaptive system-of-systems paradigm and adopts a concept of agent as the core modeling abstraction.

关键词： Covid-19 modeling Agent model complex system Digital twin Simulatable model

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Optimal PID control of a Novel Multirotor with Inclined Rotors and Spatial Configuration 6

Optimal PID Control of a Novel Multirotor with Inclined Roto...

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6th international conference on Networking and Advanced systems, ICNAS 2023

作者： Ghazali, Mohamed Bouzid, Yasser Derrouaoui, Saddam Hocine Belhocine, Mahmoud Ecole Militaire Polytechnique Complex Systems Control and Simulators Laboratory Algiers Algeria Ecole Superieure Ali Chabati Algiers Algeria Advanced Technology Development Centre Algiers Algeria

ISBN: (纸本)9798350319170

This work introduces an innovative multirotor UAV featuring a spatial configuration and inclined rotors to address under-Actuation challenges. The modeling of the multirotor is based on the Newton-Euler formalism, accounting for structural asymmetry and non-coincident center of gravity with the body frame origin. In addition, a Proportional Integral Derivative (PID) is used to control the considered drone, and optimal control gains are selected via a Particle Swarm Optimization (PSO) meta-heuristic algorithm. The simulation results for attitude change with hovering and helical trajectory tracking without changing orientations demonstrate the efficiency of the proposed design and controller. The paper concludes by discussing potential enhancements in mechanical design and control strategies. © 2023 IEEE.

关键词： Three term control systems

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Lyrebird-Optimized PI Regulator for Enhanced Load Frequency control in Two-Area systems

Lyrebird-Optimized PI Regulator for Enhanced Load Frequency ...

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2024 IEEE international conference on Information Technology, Electronics and Intelligent Communication systems, ICITEICS 2024

作者： Akila, P. Kumari, P. Kezia Joy Swetha, B.M. Kavitha, E. Mahesh, K. Kumar, V. Rajesh Sir M Visvesvaraya Institute of Technology Department of Ete Bengaluru562157 India

ISBN: (纸本)9798350382693

This paper introduces a groundbreaking approach to Load Frequency control (LFC) in two-area interconnected power systems through the development of a Lyrebird-Optimized Proportional-Integral (PI) controller. The crux of this research lies in the innovative application of a novel optimization algorithm inspired by the lyrebird's exceptional mimicry capabilities, aimed at auto-tuning the PI controller parameters for improved system response to load variations. Traditional PI controllers, while prevalent for their simplicity, often fall short in dynamic environments due to the criticality of parameter tuning. The proposed Lyrebird-Optimized Algorithm (LOA) addresses this limitation by iteratively adjusting the PI parameters to find an optimal balance, significantly enhancing the system's stability and response characteristics. The proposed controller demonstrate superior performance in minimizing frequency deviations, reducing settling times, and maintaining system stability under varying load conditions. This study not only paves the way for more efficient and resilient power system operations but also opens new avenues for applying bio-inspired algorithms in complex engineering optimization problems. © 2024 IEEE.

关键词： Proportional control systems

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Quadrotor UAV control Algorithm Based on Active Disturbance Rejection control

Quadrotor UAV Control Algorithm Based on Active Disturbance ...

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2023 international Annual conference on complex systems and Intelligent Science, CSIS-IAC 2023

作者： Liu, Junhao Wang, Zhuo Bei Hang University School of Instrumentation and Optoelectronic Engineering Beijing China

ISBN: (纸本)9798350309003

The quadrotor Unmanned Aerial Vehicle (UAV) possesses various advantages, such as miniaturization, full autonomy, and a simple structure. However, its attitude control stability is challenging to ensure due to inherent characteristics, including underactuation, high coupling, nonlinearity, and susceptibility to disturbances. To address these issues, this paper conducts dynamic modeling of the quadrotor's actuators, attitude ring, and position ring, followed by controller design. A comparative study is performed between the ADRC control algorithm and the cascade PID algorithm, which is currently applied in mainstream flight control. Through rigorous simulation validation and real-world testing, the proposed approach achieves better control performance in terms of smoothness during startup, reduced overshoot, and enhanced disturbance rejection compared to the cascade PID algorithm. This optimization significantly improves the control stability of the quadrotor UAV. © 2023 IEEE.

关键词： Disturbance rejection

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Power System Network Modelling to Predict Inter-area Low Frequency Oscillations

Power System Network Modelling to Predict Inter-area Low Fre...

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2024 IEEE international conference on modeling, Simulation and Intelligent Computing, MoSICom 2024

作者： Thakkar, Hemang Palleti, Vengala Reddy Rajagopalan, Gomathi Bhavani Energy Electrical Projects Emirates Global Aluminium Dubai United Arab Emirates Operations - Control Room Emirates Global Aluminium Dubai United Arab Emirates Bits Pilani Department of Electrical and Electronics Engineering Dubai Campus Dubai United Arab Emirates

ISBN: (纸本)9798331533311

This paper highlights the importance of accurately modeling power system network elements and controls using analytical software tools to effectively predict underlying network security issues, particularly under stressed system *** major network events like faults, interconnection trips, bulk load disconnections, and large generating unit trips under normal operating conditions can be analyzed with predictable impacts on system security, occurrences like small signal stability or low frequency oscillations may get overlooked unless highly degraded network states are accurately predicted and modeled in the software. This is especially pertinent for large power systems with multiple nodes, multiple generation sources, and high-impedance interconnectors that create significant electrical distances between power system nodes. Similarly, modelling of accurate controls to be implemented as mitigation measures are crucial to ensure power system security from these undetected *** paper presents a case study using power system analysis software tool - Cyme for a large industrial power system network of an Aluminium smelter. The results of the study underscore the importance of precise network element modeling. The results indicate that using simplified data may not be able to highlight the real problems related to inter-area oscillations, while the same could be clearly detected by accurately modeling the systems representing the degraded state of network with tested control parameters. Such accurate modeling assists system operators in avoiding specific operational modes and aids control engineers in deriving optimal control parameters to meet network security requirements. Such accurate prediction of the underlying network issues immensely improves overall Security of Supply (SoS) of an industrial power system. © 2024 IEEE.

关键词： Frequency stability

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Advanced Energy Flow and Power Quality Management in a Wind-PV-Battery Microgrid: AI-Driven Modelling and control

Advanced Energy Flow and Power Quality Management in a Wind-...

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2024 IEEE international conference on Signal Processing and Advance Research in Computing, SPARC 2024

作者： Pandey, Amit Kumar Tiwari, P. Nishad, D.K. MMMUT Electrical Engineering UP Gorakhpur India

ISBN: (纸本)9798350385199

This paper presents a comprehensive Analysis of artificial intelligence (AI) techniques for advanced energy flow and power quality management in wind-PV-battery microgrids. The study compares optimization, machine learning, and multi-agent approaches for microgrid energy management and explores AI-driven modeling of wind turbines, PV systems, and batteries to capture complex nonlinearities and uncertainties. AI-based control strategies for voltage and frequency regulation, harmonic mitigation, and reactive power compensation are investigated, highlighting their strengths and limitations. The paper identifies research gaps and future directions, emphasizing the need for scalable, secure, and resilient AI systems for large-scale microgrid energy management. Hybrid AI methods incorporating optimization, learning, and multi-agent approaches are recommended. The study concludes that AI enables intelligent, adaptive, and autonomous operation of renewable-rich microgrids, contributing to a more sustainable and reliable energy future. Simulation results demonstrate the effectiveness of AI-based control techniques in improving power quality and energy management in microgrids. © 2024 IEEE.

关键词： Windmill

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An Improved Remote-Center-of-Motion control Algorithm and Application Feasibility Evaluation 6

An Improved Remote-Center-of-Motion Control Algorithm and Ap...

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6th international conference on Intelligent control, Measurement and Signal Processing, ICMSP 2024

作者： Zhang, Genlai Jiang, Hao Mo, Yuming Hu, Yong Wang, Jue Diao, Yan Institute of Systems Engineering China Academy of Engineering Physics Mianyang China Sichuan University School of Mechanical Engineering Chengdu China

ISBN: (纸本)9798331516550

Remote-center-of-motion (RCM) constraint is widely used in all kinds of ophthalmic surgery. The RCM system based on mechanical structure is too large and complex. While the way based on robot control solves these problems well and has better flexibility. Therefore, the research on RCM control is of great significance. In our work, an improved RCM control algorithm based on general robot is proposed, which is characterized by the progressive design of the coefficient of robot control increment, so as to achieve better compliance and stability. In order to verify the application feasibility of our improved RCM control algorithm, numerical simulation and simulation mapping experiments were carried out. The results show that the control process using the improved algorithm is more stable and reliable than the traditional way, and has good application feasibility and expansibility. © 2024 IEEE.

关键词： Machine design

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