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ASME International Design Engineering Technical Conferences / 41st Annual Computers and Information in Engineering Conference (IDETC-CIE) / 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

作者： Liang, Henghui Yu, Wei Chen, Rui Luo, Ying Foshan Univ Sch Mechatron Engn & Automat Foshan 528000 Guangdong Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9780791885437

Although the active disturbance rejection controller can obtain good control performance without relying on specific model information, it targets integer-order systems. Fractional-order characteristics are commonly existed in practical systems. For fractional-order systems, it is more targeted to use the order information of the fractional-order model to design the active disturbance rejection controller, so as to obtain better control performance. A fractional active disturbance rejection controller composed of FOESO and FOPID (IDE-FOPID-FOESO) is proposed in this paper. The fractional-order extended state observer (FOESO) is designed based on the order information and the nonlinear state error feedback is replaced by the fractional-order PID controller(FOPID) whose parameters are obtained by the improved differential evolution algorithm (IDE). For IDE algorithm, the basis vector is randomly selected from the optimal individual population in the mutation strategy, and the scaling factor and cross-probability factor are adaptively adjusted according to the information of the successfully mutated individual in the search process to improve the exploration and mining capabilities of the algorithm. The simulation results show that the IDE algorithm can obtain the better parameters of FOPID faster compared with traditional DE algorithm and the IDE-FOPID-FOESO controller can be better applied to fractional-order systems with better control performance.

关键词： Fractional active disturbance rejection controller Fractional-order extended state observer improved differential evolution algorithm Fractional-order PID controller

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An improved differential evolution algorithm for Solving a Distributed Flexible Job Shop Scheduling Problem 14

An Improved Differential Evolution Algorithm for Solving a D...

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14th IEEE International Conference on Automation Science and Engineering (IEEE CASE)

作者： Wu Xiuli Liu Xiajing Univ Sci & Technol Beijing Dept Logist Engn Beijing Peoples R China

ISBN: (纸本)9781538635933

The single-factory manufacturing is gradually transiting to the multi-factory collaborative production under the globalization. How to schedule the collaborative production among multiple factories effectively is extremely urgent. The distributed flexible job shop scheduling problem (DFJSP) is studied. To begin with, a DFJSP mixed integer linear programming model is formulated to minimize the makespan. Then, an improved differential evolution simulated annealing algorithm (IDESAA) is proposed. Two crossover and mutation operators are designed. Simulated annealing is integrated to local search the best solution(s). The tournament selection is employed to select the offspring. Finally, the numerical experiments are conducted and the results show that the proposed algorithm can solve the DFJSP effectively and efficiently.

关键词： Distributed Flexible Job Shop Scheduling Problem Multi-factory improved differential evolution algorithm simulated annealing

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Damage Detection in Laminated Composite Plates Using Modal Strain Energy and improved differential evolution algorithm

Damage Detection in Laminated Composite Plates Using Modal S...

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International Conference on Sustainable Development of Civil, Urban and Transportation Engineering (CUTE)

作者： Trung Vo-Duy Vinh Ho-Huu Hau Dang-Trung Du Dinh-Cong Trung Nguyen-Thoi Ton Duc Thang Univ Inst Computat Sci INCOS Div Computat Math & Engn CME Ho Chi Minh City 700000 Vietnam Ton Duc Thang Univ Fac Civil Engn Ho Chi Minh City 700000 Vietnam Ho Chi Minh City Univ Techol Ho Chi Minh City 700000 Vietnam Ho Chi Minh City Univ Technol HUTECH Fac Civil Engn Ho Chi Minh City 700000 Vietnam

In this paper, a model strain energy based method and an improved differential evolution algorithm are used to locate and quantify damage on the laminated composite plate. Firstly, the modal strain energy based method is employed to identify a set of potential damaged elements. Then the improved differential evolution algorithm is utilized to minimize a mode shape error with the damage variables to indicate the extent of elements defined in the previous task. The numerical examples carry out a three-layer square laminated composite plate with two damaged elements. In addition, the effect of noise on the accuracy of damage localization is also investigated. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： damage identification laminated composite plate improved differential evolution algorithm optimization

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COLREGs-compliant unmanned surface vehicles collision avoidance based on improved differential evolution algorithm

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EXPERT SYSTEMS WITH APPLICATIONS 2024年第PartB期237卷

作者： Xiao, Zhongming Lu, Xinzhu Ning, Jun Liu, Dapei Dalian Maritime Univ Nav Coll Dalian 116026 Peoples R China Univ Lisbon Inst Super Tecn Naval Architecture & Ocean Engn P-1049001 Lisbon Portugal

Unmanned surface vessel (USV) has a wide range of applications in oceanographic research, resource development, environment detection, and security rescue due to its advantages of maneuverability, flexibility, fast response, and intelligence. The ability of USVs to autonomously and effectively avoid obstacles in highly dynamic and uncertain marine environments is a prerequisite for the successful completion of their tasks. Therefore, in this article, a USV collision avoidance based on International Regulations for Preventing Collisions at Sea and the Collision Risk Model with the improved differential evolution algorithm (CRI-DE) has been considered. Based on the International Regulations for Preventing Collisions at Sea (COLREGs) and common practices of seafarers, an improved ship collision risk model is proposed. Specifically, the model is innovatively combined with the differential evolution algorithm (DE) as a constraint condition to further realize path planning in complex situations. Moreover, chaotic multi-population parallel optimization, parameter adaptive adjustment strategy, and the construction of fitness function based on individual path points are added to the DE. In this way, the ability to escape from local optima and enrich population diversity can be guaranteed. Finally, experiments based on the proposed CRI-DE are conducted and the results indicate the efficiency and effectiveness of the proposed method.

关键词： Multi-ship collision avoidance improved differential evolution algorithm Collision risk model Path planning

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Investigation of Energy-Saving Strategy for Parallel Variable Frequency Pump System Based on improved differential evolution algorithm

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ENERGIES 2022年第15期15卷 5360页

作者： Qin, Xuecong Luo, Yin Chen, Shengyuan Chen, Yunfei Han, Yuejiang Jiangsu Univ Res Ctr Fluid Machinery Engn & Technol Zhenjiang 212013 Jiangsu Peoples R China Wenling Fangyuan Test Co Ltd Wenling 317522 Peoples R China

This paper presents an energy-saving strategy that was applied to a parallel variable frequency pump system of a water circulation pumping station. Firstly, the mathematical model of shaft power consumption for the parallel pump system was established using quadratic polynomial fitting, with some constraints configured according to the system's water supply demands. Then, the algorithm program was designed with the goal of minimizing the energy consumption through the application of an improved differential evolution algorithm. Additionally, the energy consumption model and constraints were integrated and simplified in order to adapt to the algorithm calculation. In the end, the algorithm was implemented according to the pump design parameters and supply targets of the pumping station. Meanwhile, a comparison was done between the differential evolution (DE) algorithm and the genetic algorithm (GA). Furthermore, an experimental test was conducted in an aluminum company in order to verify the applicability of the energy-saving algorithm in practice. The results demonstrated the feasibility of using the improved differential evolution algorithm in order to achieve a minimum energy consumption operation strategy;the results consequently manifested the superiority of the differential evolution algorithm in both computing time and optimal solution aspects.

关键词： parallel variable frequency pump system energy-saving operation power consumption model improved differential evolution algorithm

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Optimization of Wave Energy Converter Arrays by an improved differential evolution algorithm

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ENERGIES 2018年第12期11卷 3522-3522页

作者： Fang, Hong-Wei Feng, Yu-Zhu Li, Guo-Ping Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China Beijing Kejitong Elect Engn Co Ltd Beijing 100000 Peoples R China

Since different incident waves will cause the same array to perform differently with respect to the wave energy converter (WEC), the parameters of the incident wave, including the incident angle and the incident wave number, are taken into account for optimizing the wave energy converter array. Then, the differential evolution (DE) algorithm, which has the advantages of simple operation procedures and a strong global search ability, is used to optimize the wave energy converter array. However, the traditional differential evolution algorithm cannot satisfy the convergence precision and speed simultaneously. In order to make the optimization results more accurate, the concept of an adaptive mutation operator is presented to improve the performance of differential evolution algorithm. It gives the improved algorithm a faster convergence and a higher precision ability. The three-float, five-float, and eight-float arrays were optimized, respectively. It can be concluded that the larger the size of the array is, the greater the interaction between the floats is. Hence, a higher efficiency of wave energy extraction for wave energy converter arrays is achieved by the layout optimization of the array of wave energy converters. The results also show that the optimal layout of the array system is inhomogeneously distributed and that the improved DE algorithm used on array optimization is superior to the traditional DE algorithm.

关键词： wave energy converter array improved differential evolution algorithm interaction adaptive mutation operator

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An improved differential evolution algorithm-based optimal series compensation voltage control strategy for an active distribution network

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2017年第10期27卷 n/a-N.PAG页

作者： Zhang, Zhihua Crossley, Peter Xu, Bingyin Ma, Jun China Univ Petr Informat & Control Engn Coll 66 Changjiang West Rd Qingdao 266580 Peoples R China Univ Manchester Sch Elect & Elect Engn Manchester M139PL Lancs England Shandong Univ Technol Coll Elect & Elect Engn Zibo 255049 Peoples R China State Grid Shandong Binzhou Power Supply Co Binzhou 256600 Peoples R China

A distribution network with distributed generation (DG) is usually called an active distribution network. The voltage quality in an active distribution network tends to degrade because of the bidirectional power flow in the network and the random output characteristic of DG. Existing voltage control methods cannot effectively address this issue. In this article, an improved differential evolution (DE) algorithm-based optimal series compensation voltage control method for an active distribution network is presented. It is assumed that the series compensating voltage is produced flexibly by modern power electronics equipment. The quantitative relationship connecting the node voltage deviation, network power loss and compensating voltage is analysed. The optimal control model, including the power loss and load node voltage, is constructed. Then an improved DE algorithm is proposed to solve the optimal model, which combines the standard DE approach with the simulated annealing and adaptive mutation operator method. The optimal control model can be solved effectively by the improved algorithm. A simulation model is developed based on the IEEE 33 standard distribution network with DG. Simulation results confirm the validity of the optimal control model and the advantages of the improved DE algorithm.

关键词： active distribution network improved differential evolution algorithm optimal voltage control series compensation

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Modeling the interaction between a new four-bar subsoiling mechanism and red soil using the improved differential evolution algorithm and DEM

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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2023年第1期208卷

作者： Zhang, Lei Zhai, Yibin Wu, Chuanyu Huang, Shouzhi Zhang, Zhien Zhejiang Sci Tech Univ Sch Mech Engn Hangzhou 310018 Peoples R China Key Lab Transplanting Equipment & Technol Zhejiang Hangzhou 310018 Peoples R China

Because of the poor subsoiling effects and high tillage resistances of small subsoiling machines when used on red soil in southern China, a new subsoiling mechanism based on functional bionics and an optimization method that employed an improved differential evolution (IDE) algorithm are proposed in this paper. The tillage performance was improved by causing the subsoiler to mimic the digging motion of a mole forefoot. The path synthesis of the subsoiling mechanism was solved by the IDE, and the tillage performance of the four-bar bionic subsoiling mechanism was evaluated by the discrete element method. First, the digging trajectory of the mole forefoot was mapped as the desired subsoiling trajectory. An optimization model for the path synthesis was established to minimize the position error between the desired subsoiling trajectory and the coupler curve of the mechanism;it was solved by the differential evolution algorithm with improvements in the mutation and crossover operations. It was found that the IDE could more rapidly search for a more accurate solution. The optimization results were used to design a bionic subsoiling mechanism that could mimic the digging trajectory of a mole forefoot. Second, the microscopic contact parameters among the soil particles were calibrated by soil accumulation and direct shear tests. In addition, a discrete element soil model was established that included dual coupling of variable contact models for the tillage layer and the plow pan. The tillage processes of an existing common subsoiling mechanism (CSM), the bionic subsoiling mechanism equipped with a common subsoiler (BSM&CS), and the bionic subsoiling mechanism equipped with a bionic subsoiler (BSM&BS) were analyzed by a joint ADAMS and EDEM simulation. The simulation results were analyzed according to established evaluation indexes for tillage performance. The comprehensive soil disturbance performance of the BSM&CS improved by 257.03% and its drag reduced by 10.87% from th

关键词： Functional bionics improved differential evolution algorithm Subsoiling mechanism DEM Soil model

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Damage Detection in Laminated Composite Plates Using Modal Strain Energy and improved differential evolution algorithm

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Procedia Engineering 2016年 142卷 182-189页

作者： Trung Vo-Duy Vinh Ho-Huu Hau Dang-Trung Du Dinh-Cong Trung Nguyen-Thoi Division of Computational Mathematics and Engineering (CME) Institute for computational Science (INCOS) Ton Duc Thang University700000 Vietnam Faculty of Civil Engineering Ton Duc Thang University 700000 Vietnam Ho Chi Minh City University of Techology 700000 Vietnam Faculty of Civil Engineering Ho Chi Minh City University of Technology (HUTECH) 700000 Vietnam

关键词： damage identification laminated composite plate improved differential evolution algorithm optimization

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Hybrid improved differential evolution and Wavelet Neural Network with load forecasting problem of air conditioning

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2014年 61卷 673-682页

作者： Liao, Gwo-Ching Fortune Inst Technol Dept Elect Engn Kaohsiung 83160 Taiwan

Air-conditioning load forecasting accuracy precludes high efficacy air-conditioning operation, and is also a key advantage in developing Smart Microgrid (SMG) power generating system control. The Wavelet Neural Network (WNN) was adopted as a principle element in air-conditioning load forecasting with improved differential evolution algorithm (IDEA) as an optimizing method for adjusting WNN parameters. This approach has replaced the formal feedback method used in solving network parameters. IDEA is an optimizing technique with simple calculation and fewer adjustable parameters, allowing the optimum solution for the entire system to be acquired more accurately and rapidly. After solving the optimum parameters WNN is further applied to accomplish air-conditioning load forecasting. A Fuzzy Expert System is adopted as an adjustment measure for special conditions, allowing ideal forecasting results to be reached. This study made practical comparisons among the generally applied methods for optimizing air-conditioning forecasting, such as the Artificial Neural Network (ANN), evolutionary Programming-Artificial Neural Network (EP-ANN), Genetic algorithm-Artificial Neural Network (GA-ANN), Ant Colony Optimization-Artificial Neural Network (ACO-ANN) and Particle Swarm Optimization-Artificial Neural Network (PSO-ANN), to prove the advantages and applicability of the proposed method. (c) 2014 Elsevier Ltd. All rights reserved.

关键词： improved differential evolution algorithm Wavelet Neural Network Fuzzy Expert System Load forecasting of air-conditioning

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