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International Conference on Applied nonlinear Dynamics, Vibration and Control, ICANDVC 2021

作者： Xiao, Binghang Huang, Jianzhe Liu, Wuji Teng, Yajun Qiao, Lingfeng Jing, Zhongliang Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9789811659119

In the flexible robot domain, due to the high nonlinear characteristics of flexible robot actuators, infinite degrees of freedom in theory, and multidisciplinary integration of mechanics, electricity, chemistry, etc., the establishment of its kinematics model is pretty difficult and imprecise. This paper analyzes the kinematics of a flexible manipulator driven by SMA spring. In the process of forward kinematics, based on Jacobian matrix, use both Newton-Raphson iteration method and Vpasolve function to solve and simulate the position of the end of the robot arm. In the process of inverse kinematics, use the SMA constitutive knowledge and genetic algorithm with nonlinear programming fusion to solve the posture of each joint. The simulation is carried out on Matlab platform, and the motion of the flexible robot arm can be well simulated. The kinematics analysis based on this paper provides a theoretical basis for the dynamic modeling, chaos analysis and nonlinear control of the flexible manipulator in the future. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： nonlinear programming

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Analytical Impulsive-to-Continuous Thrust Conversion in Linearized Relative Dynamics

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2021年第4期44卷 862-871页

作者： Maestrini, Michele Di Lizia, Pierluigi Topputo, Francesco Polytech Univ Milan Dept Aerosp Sci & Technol I-20156 Milan Italy

The control law proposed in this study has a mathematical analytic bound used to reliably estimate the required transfer time to guarantee that the maximum thrust constraint is not violated. Favored by its analytic and iteration-free nature, the transformation can be embedded into onboard guidance planning algorithms without affecting numerical efficiency and enabling an online assessment of the consequences of a bounded, continuous thrust. The resulting control law is compared against the solution of minimum-energy, minimum-time, and minimum-fuel optimal control problems in terms of propellant consumption and transfer time. Two alternative impulsive-to-continuous thrust conversion approaches are derived, and are referred to as forward and backward conversions. The approach proposed in this study makes use of third-order polynomials to shape the trajectory without iterative procedures.

关键词： Thrust Trajectory Optimization Monte Carlo Simulation nonlinear programming Shape Functions Exhaust Velocity Second Order Differential Equations Standard Gravitational Parameter Motion Planning Propellant

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Impact Analysis of CVR on Distribution System Protection Scheme

Impact Analysis of CVR on Distribution System Protection Sch...

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2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022

作者： Prasad, Udit Mohanty, Soumya R. Singh, S.P. Indian Institute of Technology Banaras Hindu University Dept. of Electrical Engineering Varanasi India

ISBN: (数字)9781665493659

ISBN: (纸本)9781665493659

This paper aims to investigate the impact of the Conservation of Voltage Reduction scheme (CVR) on a typical protection system of distribution systems (DS). CVR is an energy-saving scheme in which the bus voltages of a DS are maintained in the lower 5% range of the rated value. Changing the operating condition of a DS may have a significant impact on the deployed protection system. It has been observed that maloperation of protective devices is more frequent than the occurrence of a genuine fault. Such a condition arises due to the occurrence of any such event that has not been taken into consideration while designing the protection problem formulation. In this paper, the CVR scheme has been deployed by regulating the taps of OLTC governed by the Line Drop Compensation (LDC) scheme and switching action of Capacitor Banks (CB) to maintain the bus voltages at the desired levels. Whereas the protection objectives have been accomplished by determining optimal settings of the deployed directional overcurrent relays (DOCR) in the DS. A protection objective reassures the reliable functioning of the protective devices by determining optimal operating time and proper coordination among the relays. The protection problem formulation is non-linear programming (NLP) in nature and solved using Nature-Inspired Algorithms (NIA) based Particle Swarm Optimisation (PSO) optimisation technique. The study has been performed on the IEEE 13 node test feeder and distribution portion of the IEEE 14 bus system. The test systems have been modelled on the PowerFactory software by DIgSILENT to deploy the CVR scheme and the relay actions. Furthermore, the optimisation problem has been solved in MATLAB. Although the CVR scheme comes under the planning and operation aspects of distribution systems, its impact on the performance of protection infrastructure cannot be ignored as the effects of both phenomena come hand in hand, and the same has not been discussed in the literature yet. © 2022 IEEE.

关键词： nonlinear programming

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Research on daily scheduling optimization of integrated energy system considering equipment nonlinearity 4

Research on daily scheduling optimization of integrated ener...

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4th International Conference on Electrical Engineering and Control Technologies, CEECT 2022

作者： Zhou, Chunlei Yang, Haolan Li, Dou Yang, Chenchen Pan, Miao Wei, Huashuai Zhang, Junli China Jiangsu Frontier Electric Technology Co. Ltd Nanjing China Cmb Network Technology Chengdu China School of Energy and Environment Southeast University National Engineering Research Center of Power Generation Control and Safety Nanjing China

ISBN: (纸本)9781665498999

The integrated energy system has obvious economic, energy-saving and environmental protection characteristics, and is one of the important ways to achieve the carbon peak and carbon neutral strategy. The operation mode of the integrated energy system is very flexible, and the system can obtain better operation performance through scheduling optimization. To fully improve the system performance, this paper proposes a two-stage integrated energy system intraday scheduling optimization method considering equipment nonlinearity. First, to minimize the operation cost and consider the linear characteristic constraints of equipment, a linear programming model for the optimal scheduling of the intraday economy is established. Then, based on the linear optimization results and considering the nonlinear characteristics of equipment, a nonlinear optimal scheduling model is established, and the nonlinear optimization method is used to further improve the optimization accuracy of the load setting values of each equipment. Simulation results show that, compared with linear scheduling optimization, the deviation between the scheduling results and the actual operation of the system is reduced after considering nonlinear optimization, thus improving the economy, energy conservation, and environmental protection of the system. © 2022 IEEE.

关键词： nonlinear programming

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A novel nonlinear programming approach for estimating CAPM beta of an asset using fuzzy regression

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EXPERT SYSTEMS WITH APPLICATIONS 2013年第3期40卷 858-865页

作者： Kocadagli, Ozan Mimar Sinan FAU Dept Stat Istanbul Turkey

The evaluation of risky assets is one of the major research tasks in the finance theory. There are several Capital Asset Pricing Models (CAPM) in the literature;the most popular one of those is the Sharpe-Lintner-Black mean-variance CAPM. According to this model, the typical measure of systematic risk is the beta coefficient. The beta coefficient can be evaluated by means of least squares method (LSM), Robust Regression Techniques (RRT), or similar approaches. However, the statistical assumptions of LSM might be invalid in the existence of extreme observations in data set. In order to decrease influence on the beta coefficient of extreme observations, most analyst apply to RRT's. However, either RRT's remove the extreme observations from the data set, or decrease their influences on the beta coefficient. Whereas the omitted observations might be valuable for investors since they carry substantial information about the state of nature. In other words, there is a clash between statistical and financial theory. In this study, to overcome this incompatibility, and to take into account the extreme observations carried worthy information, a novel fuzzy regression approach is proposed. The proposed approach is based on both possibility concepts and central tendency in the estimation of beta coefficient. In application section of this paper, the beta coefficients of three assets traded in Istanbul Stock Exchange (ISE) are estimated by the proposed fuzzy approach and the traditional techniques, and then the results of analysis are compared, and discussed. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Fuzzy regression Fuzzy membership functions nonlinear programming CAPM Beta coefficient Robust regression

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Distribution Network Reactive Power Optimization Method Based on Filter Coordinated Quantum State Transfer Algorithm 2

Distribution Network Reactive Power Optimization Method Base...

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2022 2nd International Conference on Energy, Power and Advanced Thermodynamic Systems, EPATS 2022

作者： Ji, Chenyun Zhu, Xiaohan Chizhou Electric Power Supply Company State Grid Anhui Electric Power Co. Ltd Chizhou247000 China Dongzhi Electric Power Supply Company State Grid Anhui Electric Power Co. Ltd Chizhou247200 China

To solve the problem of mixed integer nonlinear programming in dynamic reactive power optimization of distribution networks, a two-stage dynamic reactive power optimization model is used to reduce the size of the reactive power optimization *** first stage is nonlinear planning, with the objective of minimizing the combined system network loss and node voltage offset. The second stage is a mixed-integer planning, with the objective of minimizing the incremental power system network loss on the basis of satisfying the constraints such as the number of equipment regulation throughout the day. In view of the fact that the conventional penalty function method to deal with the constraints will result in improper selection of penalty factors, an improved quantum state transfer algorithm with mixed filter technique is proposed. The algorithm adopts a two-population parallel search approach, and the individual adaptation degree and constraint violation degree are constituted as filter pairs as evaluation metrics to replace the penalty functions. Finally, the proposed algorithm, the traditional state transfer algorithm and Colony Algorithm are solved separately for the model using the IEEE 14 system as examples, and the correctness of the proposed model and algorithm is verified by comparing and analyzing the simulation results. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： nonlinear programming

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Aeroelastic Flutter Oscilations of Distributed Systems 3

Aeroelastic Flutter Oscilations of Distributed Systems

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Dovgyi, Stanislav Trofymchuk, Oleksandr Lebid, Oleksii Kaliukh, Iurii Berchun, Viktoriia Berchun, Yaroslav Institute of Telecommunications and Global Information Space National Academy of Science of Ukraine Department of Physical and Mathematical Modelling Kyiv Ukraine Institute of Telecommunications and Global Information Space National Academy of Science of Ukraine Department of Natural Resources Kyiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

Vertical bladeless wind turbine looks like a huge baseball bat fixed on a handle and swaying in the wind. The vortices are created in this flow at the back of the body and periodically are separated from either side of the body. This effect is called Von Kármán vortex street. It is destructive for civil structures. The Vortex Bladeless engineers decided to make use of this destructive effect. Vertical bladeless wind turbine starts to oscillate at the lower speeds of the wind. It is possible to locate stations much closer to each other. The turbines of the classical design with a dense arrangement do not receive enough wind flow, but this bladeless generator only benefits from a dense placement as its oscillatory effect is amplified by the vortices from the generators ahead. Also, it produces almost no harmful noise, it is safe for birds and doesn't close the horizon. The reasons and the set of parameters leading to aeroelastic flutter oscillations in distributed systems (DS) are investigated. The instability is caused by the combined influence of three factors: the disturbances drift along the DS in the flow, the bending stiffness, and the influence of an inertial force, which is a distributed load moving along the DS. The described mathematical concept and numerical algorithm, as well as the achieved results can be used to design and optimize the bladeless wind turbines operation modes. © 2022 IEEE.

关键词： nonlinear programming

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State Supervised Steering Function for Sampling-based Kinodynamic Planning 21

State Supervised Steering Function for Sampling-based Kinody...

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21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022

作者： Atreya, Pranav Biswas, Joydeep University of Texas at Austin AustinTX United States

ISBN: (纸本)9781713854333

Sampling-based motion planners such as RRT* and BIT*, when applied to kinodynamic motion planning, rely on steering functions to generate time-optimal solutions connecting sampled states. Implementing exact steering functions requires either analytical solutions to the time-optimal control problem, or nonlinear programming (NLP) solvers to solve the boundary value problem given the system's kinodynamic equations. Unfortunately, analytical solutions are unavailable for many real-world domains, and NLP solvers are prohibitively computationally expensive, hence fast and optimal kinodynamic motion planning remains an open problem. We provide a solution to this problem by introducing State Supervised Steering Function (S3F), a novel approach to learn time-optimal steering functions. S3F is able to produce near-optimal solutions to the steering function orders of magnitude faster than its NLP counterpart. Experiments conducted on three challenging robot domains show that RRT* using S3F significantly outperforms state-of-the-art planning approaches on both solution cost and runtime. We further provide a proof of probabilistic completeness of RRT* modified to use S3F. © 2022 International Foundation for Autonomous Agents and Multiagent Systems (***). All rights reserved

关键词： nonlinear programming

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Pulse width modulation control for stochastic Lagrange systems✩

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AUTOMATICA 2023年第1期155卷

作者： Wu, Zhaojing Yantai Univ Sch Math & Informat Sci Yantai 264005 Shandong Peoples R China

The pulse width modulation (PWM) control for Lagrange systems driven by servo motors in stochastic environment is researched in this paper. Principles of PWM for stochastic nonlinear systems are proved, a continuous control bounded in probability of stochastic Lagrange system is designed, and the stochastic closed-loop nonlinear programming is modeled in the same form as that in the deterministic case. Sure boundedness of the control is required as a hard constraint, and the stochastic quadratic programming problem is presented for which an analytic solution is constructed and the expression of the optimal duty ratio is obtained. Finally, the main procedures of design and implementation of the stochastic PWM are summarized, and the effectiveness of the proposed scheme is demonstrated by a simulation of articulated manipulator.& COPY;2023 Elsevier Ltd. All rights reserved.

关键词： Stochastic Lagrange system Pulse width modulation nonlinear programming

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Cost-Efficient Edge Cloud Deployment Method for Autonomous Driving 13

Cost-Efficient Edge Cloud Deployment Method for Autonomous D...

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13th International Conference on Information and Communication Technology Convergence, ICTC 2022

作者： Park, Changyu Ko, Haneul Kyung, Yeunwoong Korea University Computer and Information Science Sejong Korea Republic of Kyung Hee University Electronic Engineering Yongin Korea Republic of Kongju National University Information & Communication Engineering Cheonan Korea Republic of

ISBN: (数字)9781665499392

ISBN: (纸本)9781665499392

When edge clouds are deployed at all road side unit (RSU), autonomous vehicles (AVs) can offload the tasks and receive the results of the tasks with low latency. However, too excessive deployment of edge clouds can lead significant capital expenditure (CAPEX) of an offloading service provider. In this paper, we propose a cost-efficient edge cloud deployment method where the deployment locations of edge clouds are minimally decided by considering task offloading rates of road segments. To minimize the number of deployed edge clouds while supporting all generated traffic volumes, we formulate an integer non-linear programming (INLP) problem. For the practical deployment even at a huge target area, we propose a low-complexity heuristic algorithm called traffic-aware deployment algorithm (TADA). Evaluation results demonstrate that TADA can achieve a similar deployment cost with the optimal solution while handling all generated traffic. © 2022 IEEE.

关键词： nonlinear programming

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