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A novel disturbance rejection factor based stable direct adaptive fuzzy control strategy for a class of nonlinear systems

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EXPERT SYSTEMS 2021年第3期38卷

作者： Das Sharma, Kaushik Chatterjee, Amitava Siarry, Patrick Rakshit, Anjan Univ Calcutta Dept Appl Phys 92 APC Rd Kolkata India Jadavpur Univ Dept Elect Engn Kolkata India Univ Paris Est Creteil Lab LiSSi Vitry Sur Seine France

This paper proposes a unique disturbance rejection factor (DRF) based design of direct stable adaptive fuzzy logic controllers (AFLCs) for a class of non-linear systems with large and fast disturbances. The proposed AFLCs are realized by employing hybrid combinations of Lyapunov theory based local adaptation and harmony search algorithm based global optimization technique. These hybrid AFLCs are designed with the objective of optimizing both the structure and free parameters of it with guaranteed stability and, at the same time, simultaneously achieving satisfactory tracking performance and disturbance rejection. The novelty of the proposed work lies in the fact that, in a bid to perform the disturbance rejection, the nature of the disturbance itself is used in designing the tracking control law. The proposed DRF based hybrid stable AFLCs are implemented for several benchmark case studies and extensive performance evaluations demonstrate their usefulness.

关键词： adaptive fuzzy logic controller (AFLC) disturbance rejection harmony search algorithm Lyapunov theory variable structure fuzzy controller

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Anti-swing control of the overhead crane system based on the harmony search radial basis function neural network algorithm

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ADVANCES IN MECHANICAL ENGINEERING 2019年第3期11卷

作者： Miao, Yubin Xu, Fenglin Hu, Yanwei An, Jianping Zhang, Ming Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China

The swing of the grab is a main factor affecting the working efficiency of overhead cranes. Thus, planning the optimal motion path can reduce the adverse effects caused by the grab swing and improve the loading and unloading efficiency. The dynamic model of the trolley-grab system is established by considering factors like the change of rope length, wind load, and air resistance. First, the radial basis function neural network is applied to generate a feasible motion trajectory of the crane trolley. Taking the swing angle and angular velocity of the grab at the discharge point as evaluation, the harmony search algorithm is then applied to optimize the neural network parameters and obtain the optimal anti-swing motion trajectory. The numerical simulation and practical testing results show that the harmony search-radial basis function algorithm generates a smooth motion trajectory with good convergence, achieving anti-swing control of the trolley-grab system.

关键词： Overhead crane anti-swing control radial basis function harmony search algorithm

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Power and Resource Allocation in Wireless Communication Network

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WIRELESS PERSONAL COMMUNICATIONS 2021年第4期119卷 3529-3552页

作者： Nazir, Mohsin Sabah, Aneeqa Sarwar, Sana Yaseen, Azeema Jurcut, Anca Lahore Coll Women Univ Lahore Pakistan

Present-day wireless methods are necessary to support a variety of higher-speed data communication facilities for its subscribers such as cloud-based video streaming facilities. One method to attain this is by using efficient resource allocation systems for transmitters and receivers using wireless communication methods. Wireless strategies and technologies are ubiquitous and enhancing progressively in the present world. In wireless communication technology, power and resource allocation remain the main issue due to the lack of resources by optimizing the number of subscribers and services. Hence, in this paper, we discuss different algorithms and techniques such as power-efficient resource allocation algorithm, real-time scheduling algorithm, NOMA, SCMA, Device-to-Device (D2D) communication, OFDMA, power and resource distribution in 5G, wireless sensor networks (WSNs), smart grids, cloud computing, and fog computing which converges stably and quickly. The harmony search algorithm is also another way used for resources in wireless communication networks and discussed in this paper.

关键词： Wireless communication network Power and resource allocation 5G Energy and spectral efficiency harmony search algorithm

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Adaptive optimum coordination of overcurrent relays for deregulated distribution system considering parallel feeders

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ELECTRICAL ENGINEERING 2021年第3期103卷 1849-1867页

作者： Elsadd, Mahmoud A. Kawady, Tamer A. Taalab, Abdel-Maksoud, I Elkalashy, Nagy, I Menoufia Univ Fac Engn Dept Elect Engn Shibin Al Kawm 32511 Egypt

This paper proposes an adaptive optimum overcurrent protection for deregulated distribution networks containing parallel feeders. The proposed adaptive coordination eliminates the maloperation of conventional overcurrent protection under different fault scenarios. These scenarios take place when faults occur close to the end of the parallel feeders specially when faults are associated with significant fault resistances. Under these faults, the current at the backup relay is almost double that at the corresponding primary. Thus, adaptive pickup setting is recommended. However, this problem is complicated remarkably when distributed generation units feed the upstream source side faults or under the removal of the power source due to the interruption of a source side breaker. Simultaneously, the proposed coordination approach enhances the sensitivity and keeps on the optimum speed by automatically identifying the faulted zone. The faulted zone is identified by monitoring both the status concerning a single feeder or two parallel feeders in service and the faulted phase current direction of each pair of relays. Thus, a new fault direction identification method is presented. This method is based on comparing the angle of the post-fault current and that of the pre-fault current. Three optimization algorithms (genetic, harmony search, and water cycle algorithms) have competed to find the optimal settings of the installed overcurrent relays for each faulted zone. The reliability of the proposed method is examined as compared to conventional coordination concepts based on a detailed simulation of an actual 11-kV cascaded parallel series distribution feeder in the Egyptian distribution network. Sample results are examined.

关键词： Adaptive coordination Directional relay Distributed generator Doubly fed induction generator (DFIG) Photovoltaic (PV) Genetic algorithm harmony search algorithm Water cycle algorithm Overcurrent protection

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Weight Optimization of Discrete Truss Structures Using Quantum-Based HS algorithm

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BUILDINGS 2023年第9期13卷

作者： Lee, Seungjae Ha, Junhong Shon, Sudeok Lee, Donwoo Korea Univ Technol & Educ Sch Ind Design & Architectural Engn 1600 Chungjeol Ro Byeongcheon Myeon 31253 Cheonan South Korea Korea Univ Technol & Educ Sch Liberal Arts 1600 Chungjeol Ro Byeongcheon Myeon 31253 Cheonan South Korea

Recently, a new field that combines metaheuristic algorithms and quantum computing has been created and is being applied to optimization problems in various fields. However, the application of quantum computing-based metaheuristic algorithms to the optimization of structural engineering is insufficient. Therefore, in this paper, we tried to optimize the weight of the truss structure using the QbHS (quantum-based harmony search) algorithm, which combines quantum computing and conventional HS (harmony search) algorithms. First, the convergence performance according to the parameter change of the QbHS algorithm was compared. The parameters selected for the comparison of convergence performance are QHMS, QHMCR, QPAR, & epsilon;, and & theta;r. The selected parameters were compared using six benchmark functions, and the range for deriving the optimal convergence performance was found. In addition, weight optimization was performed by applying it to a truss structure with a discrete cross-sectional area. The QbHS algorithm derived a lower weight than the QEA (quantum-inspired evolutionary algorithm) and confirmed that the convergence performance was better. A new algorithm that combines quantum computing and metaheuristic algorithms is required for application to various engineering problems, and this effort is essential for the expansion of future algorithm development.

关键词： weight optimization truss structure discrete area quantum computing harmony search algorithm

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Applying optimized relevance vector regression approach for indirect forecasting rock mass deformation modulus

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ENVIRONMENTAL EARTH SCIENCES 2021年第22期80卷 1-10页

作者： Fattahi, Hadi Arak Univ Technol Fac Earth Sci Engn Arak Iran

Rock mass deformation modulus is a significant design parameter in surface/underground projects such as foundations, slopes and tunnels. Due to the presence of discontinuities in the rock mass, determining this deformation modulus by analyzing cylindrical core samples is very difficult. Since it is difficult to determine the deformability of rock masses at the laboratory scale, several in situ test techniques have been developed, such as dilatometer, plate-loading tests, and so on. However, determining the deformation modulus from in situ test techniques is highly costly, time-consuming and sometimes impossible to perform. To address this issue, in this paper, the results of the application of relevance vector regression (RVR) optimized by harmony search (HS) to create an estimation model for the indirect predicting rock mass deformation modulus was presented. The RVR-HS model was applied to data from open access literature. In this model, the deformation modulus was used as the output, while elastic modulus of intact rock (E-i), uniaxial compressive strength of intact rock (UCS), rock mass rating (RMR) and depth were as the input variables. The RVR-HS model, with MSE = 0.0172 and R-2 = 0.8696, is a dependable technique for forecasting the deformation modulus with a high level of precision and reliability.

关键词： Relevance vector regression Deformation modulus harmony search algorithm Rock mass

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Power system frequency control enhancement by optimization of wind energy control system

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AIN SHAMS ENGINEERING JOURNAL 2021年第4期12卷 3711-3723页

作者： Soliman, Mohammad H. Talaat, Hossam E. A. Attia, Mahmoud A. Ain Shams Univ Elect Power & Machines Dept Cairo Egypt Future Univ Egypt Elect Engn Dept Cairo Egypt

Future trends are increasingly directed towards replacing traditional energy sources by new and renewable energy ones, with Wind Energy coming first in the row of these sources worldwide. The Egyptian electric power system still has a relatively low penetration level, around 3%, of Wind Energy to its generation mix. However, it is planned to increase this ratio to 14.6% by the year 2035. This paper studies the frequency dynamics associated with significant penetration levels of Wind Energy into the Egyptian grid, which leads to reducing the overall system inertia. The control strategy adopted depends on maximizing the wind energy contribution to frequency control, in order to compensate that reduction of system inertia. The Real data of the Egyptian power system model used is verified by the National Electricity Control Centre, updated to the latest values declared and tested under the lowest and highest loads recorded. A modified control loop is added to the control system in order to allow the Wind Energy Conversion System to significantly contribute to the Load Frequency Control. The PI controller gains used in that loop are tuned using three methods;Local Unimodal Sampling, harmony search algorithm and Equilibrium Optimizer (EO). The Equilibrium Optimizer (EO) proved its superiority to the other methods, as it gave the best dynamic response. The simulated results are presented using MATLAB/SMULINK. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.

关键词： Wind Energy Frequency control Doubly Fed Induction Generator Local unimodal sampling harmony search algorithm

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Size and Topology Optimization of Truss Structures Using Quantum-Based HS algorithm

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BUILDINGS 2023年第6期13卷

作者： Lee, Donwoo Shon, Sudeok Lee, Seungjae Ha, Junhong Korea Univ Technol & Educ Sch Ind Design & Architectural Engn 1600 Chungjeol Ro Cheonan 31253 South Korea Korea Univ Technol & Educ Sch Liberal Arts 1600 Chungjeol Ro Cheonan 31253 South Korea

With the development of various metaheuristic algorithms, research cases that perform weight optimization of truss structures are steadily progressing. In particular, due to the possibility of developing quantum computers, metaheuristic algorithms combined with quantum computation are being developed. In this paper, the QbHS (Quantum based harmony search) algorithm was proposed by combining quantum computation and the conventional HS (harmony search) algorithms, and the size and topology optimization of the truss structure was performed. The QbHS algorithm has the same repetitive computational structure as the conventional HS algorithm. However, the QbHS algorithm constructed QHM (Quantum harmony Memory) using the probability of Q-bit and proposed to perform pitch adjusting using the basic state of Q-bit. To perform weight optimization of truss structures using the proposed QbHS algorithm, 20 bar, 24 bar, and 72-bar truss structures were adopted as examples and compared with the results of the QE (Quantum Evolutionary) algorithm. As a result, it was confirmed that the QbHS algorithm had excellent convergence performance by finding a lower weight than the QE algorithm. In addition, by expressing the weight optimization results of the truss structure with an image coordinate system, the topology of the truss structure could be confirmed only by the picture. The results of this study are expected to play an important role in future computer information systems by combining quantum computation and conventional HS algorithms.

关键词： quantum-bit quantum-gate harmony search algorithm truss structure weight optimization image coordinate system

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Large-scale mobile users deployment optimization based on a two-stage hybrid global HS-DE algorithm in multi-UAV-enabled mobile edge computing

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 124卷

作者： Ouyang, Haibin Liu, Kang Zhang, Chunliang Li, Steven Gao, Liqun Guangzhou Univ Sch Mech & Elect Engn Guangzhou 510006 Peoples R China Guangzhou Univ Guangzhou Key Lab Condit Monitoring & Control Mech Guangzhou Peoples R China RMIT Univ Grad Sch Business & Law Melbourne 3000 Australia Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Peoples R China

Multi-UAV (unmanned aerial vehicle)-supported mobile edge computing system deploys multiple UAVs as flight edge clouds for large-scale users. In this system, how to optimize the deployment of UAVs is important for providing good service for all mobile users. Specifically, for each mobile user, we need to determine whether the task can be performed locally or on the drone (i.e., the unload decision) and how much resources should be allocated. In this paper, a new two-level optimization method is proposed for UAV deployment and task scheduling problem to minimize the system energy consumption. The proposed algorithm is named TSHGHSDE algorithm, in which a few features are designed to enhance the algorithm performance. Firstly, a two-stage optimization strategy is proposed based on HS-DE algorithm. In the early stage, HS algorithm is used for the local search in a limited space, and the DE algorithm is employed for the global search in the late stage. Secondly, we design an effective control parameter to adjust the search process, which aims to effectively combine the local search ability of HS algorithm and the global search ability of DE algorithm. Thirdly, a novel encoding mechanism is proposed in the process of the UAV deployment optimization. A global search strategy is designed to enhance the performance of the proposed algorithm. To assess the performance of the proposed algorithm, some well-known algorithms are used for comparison in experiments. The results demonstrate that the proposed algorithm performs better in terms of the search efficiency, search accuracy and stability.

关键词： Multi-UAV-enabled mobile edge computing Differential evolution algorithm harmony search algorithm Global search

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Optimization of Dam Operation and Interaction with Groundwater: An Overview Focusing on Greece

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WATER 2023年第21期15卷

作者： Karakatsanis, Diamantis Patsialis, Thomas Kalaitzidou, Kyriaki Kougias, Ioannis Ntona, Maria Margarita Theodossiou, Nicolaos Kazakis, Nerantzis Aristotle Univ Thessaloniki Sch Civil Engn Dept Engn & Hydraul Thessaloniki 54124 Greece Aristotle Univ Thessaloniki Dept Chem Engn Thessaloniki 54124 Greece Thessaloniki Water Supply & Sewerage Co SA Thessaloniki 54124 Greece Elpedison SA Regulatory & Business Dev Div Athens 15231 Greece Campania Univ Luigi Vanvitelli Dept Environm Biol & Pharmaceut Sci & Technol Via Vivaldi 43 I-81100 Caserta Italy Univ Patras Dept Geol Lab Hydrogeol Patras 26500 Greece

The optimization of dam operations to transform them into multi-objective facilities constitutes a challenge for both hydrology, hydrogeology, and hydropower generation. However, the use of the optimal algorithm for such transformation is critically important. Additionally, the literature has highlighted that dams might negatively influence the recharge of groundwater. Within this study, we provide an overview of the available algorithms for the optimization of dam operations. Additionally, an overview focusing on hydropower generation in Greece illustrates the high potential of the Mediterranean region for hydropower generation and the application of MAR. The water quality of the reservoirs is also highlighted as a critical parameter. Within this study, we present indices for water quality monitoring in dam reservoirs, while the most prevailing index is the SRDD. This study constitutes a guide for researchers in choosing the optimal tools for the optimization of dam operations and the water quality monitoring of reservoirs. The present study suggests a meta-heuristic optimization methodology using the harmony search algorithm. The model uses a geometric model of the reservoir and calculates the level-supply curve. Furthermore, a multi-criteria optimization model was developed with two objective functions: the maximum power output from the hydroelectric power plant turbines and the optimal groundwater recharge. The model with appropriate parameter modifications can be applied to any small dam as it is a decision- and policy-making methodology, independent of local conditions. A further step is the application of these approaches dealing with field data and the numerical modeling of case studies. The interdisciplinary approach of this study links deferent aspect and scientific perceptions, providing a comprehensive guide to optimal water resource management and environmental sustainability.

关键词： dams energy renewable energy managed aquifer recharge Greece harmony search algorithm meta-heuristic multi-objective optimization

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