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  • Open Access

    ARTICLE

    PSO Based Torque Ripple Minimization Of Switched Reluctance Motor Using FPGA Controller

    A. Manjula1,*, L. Kalaivani2, M. Gengaraj2

    Intelligent Automation & Soft Computing, Vol.29, No.2, pp. 451-465, 2021, DOI:10.32604/iasc.2021.016088 - 16 June 2021

    Abstract The fast-growing field of mechanical robotization necessitates a well-designed and controlled version of electric drives. The concept of control concerning mechanical characteristics also requires a methodology in which the system needs to be modeled precisely and deals with uncertainty. The proposed method provides the enhanced performance of Switched Reluctance Motor (SRM) by controlling its speed and minimized torque ripple. Proportional-Integral-Derivative (PID) controllers have drawn more attention in industry automation due to their ease and robustness. The performances are further improved by using fractional order (Non-integer) controllers. The Modified Particle Swarm Optimization (MPSO) based optimization approach… More >

  • Open Access

    ARTICLE

    Resource Allocation and Optimization in Device-to-Device Communication 5G Networks

    Fahad Ahmed Al-Zahrani1, Imran Khan2, Mahdi Zareei3,*, Asim Zeb4, Abdul Waheed5,6

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1201-1214, 2021, DOI:10.32604/cmc.2021.018386 - 04 June 2021

    Abstract The next-generation wireless networks are expected to provide higher capacity, system throughput with improved energy efficiency. One of the key technologies, to meet the demand for high-rate transmission, is device-to-device (D2D) communication which allows users who are close to communicating directly instead of transiting through base stations, and D2D communication users to share the cellular user chain under the control of the cellular network. As a new generation of cellular network technology, D2D communication technology has the advantages of improving spectrum resource utilization and improving system throughput and has become one of the key technologies… More >

  • Open Access

    ARTICLE

    Hybrid BWO-IACO Algorithm for Cluster Based Routing in Wireless Sensor Networks

    R. Punithavathi1, Chinnarao Kurangi2, S. P. Balamurugan3, Irina V. Pustokhina4, Denis A. Pustokhin5, K. Shankar6,*

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 433-449, 2021, DOI:10.32604/cmc.2021.018231 - 04 June 2021

    Abstract Wireless Sensor Network (WSN) comprises a massive number of arbitrarily placed sensor nodes that are linked wirelessly to monitor the physical parameters from the target region. As the nodes in WSN operate on inbuilt batteries, the energy depletion occurs after certain rounds of operation and thereby results in reduced network lifetime. To enhance energy efficiency and network longevity, clustering and routing techniques are commonly employed in WSN. This paper presents a novel black widow optimization (BWO) with improved ant colony optimization (IACO) algorithm (BWO-IACO) for cluster based routing in WSN. The proposed BWO-IACO algorithm involves… More >

  • Open Access

    ARTICLE

    Complex Problems Solution as a Service Based on Predictive Optimization and Tasks Orchestration in Smart Cities

    Shabir Ahmad1, Jehad Ali2, Faisal Jamil3, Taeg Keun Whangbo1, DoHyeun Kim3,*

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1271-1288, 2021, DOI:10.32604/cmc.2021.017773 - 04 June 2021

    Abstract Smart cities have different contradicting goals having no apparent solution. The selection of the appropriate solution, which is considered the best compromise among the candidates, is known as complex problem-solving. Smart city administrators face different problems of complex nature, such as optimal energy trading in microgrids and optimal comfort index in smart homes, to mention a few. This paper proposes a novel architecture to offer complex problem solutions as a service (CPSaaS) based on predictive model optimization and optimal task orchestration to offer solutions to different problems in a smart city. Predictive model optimization uses More >

  • Open Access

    ARTICLE

    Speed Control of Motor Based on Improved Glowworm Swarm Optimization

    Zhenzhou Wang1, Yan Zhang1, Pingping Yu1,*, Ning Cao2, Heiner Dintera3

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 503-519, 2021, DOI:10.32604/cmc.2021.017624 - 04 June 2021

    Abstract To better regulate the speed of brushless DC motors, an improved algorithm based on the original Glowworm Swarm Optimization is proposed. The proposed algorithm solves the problems of poor robustness, slow convergence, and low accuracy exhibited by traditional PID controllers. When selecting the glowworm neighborhood set, an optimization scheme based on the growth and competition behavior of weeds is applied to a single glowworm to prevent falling into a local optimal solution. After the glowworm’s position is updated, the league selection operator is introduced to search for the global optimal solution. Combining the local search… More >

  • Open Access

    ARTICLE

    LOA-RPL: Novel Energy-Efficient Routing Protocol for the Internet of Things Using Lion Optimization Algorithm to Maximize Network Lifetime

    Sankar Sennan1, Somula Ramasubbareddy2, Anand Nayyar3,4, Yunyoung Nam5,*, Mohamed Abouhawwash6,7

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 351-371, 2021, DOI:10.32604/cmc.2021.017360 - 04 June 2021

    Abstract Energy conservation is a significant task in the Internet of Things (IoT) because IoT involves highly resource-constrained devices. Clustering is an effective technique for saving energy by reducing duplicate data. In a clustering protocol, the selection of a cluster head (CH) plays a key role in prolonging the lifetime of a network. However, most cluster-based protocols, including routing protocols for low-power and lossy networks (RPLs), have used fuzzy logic and probabilistic approaches to select the CH node. Consequently, early battery depletion is produced near the sink. To overcome this issue, a lion optimization algorithm (LOA)… More >

  • Open Access

    ARTICLE

    Operation Strategy Analysis and Configuration Optimization of Solar CCHP System

    Duojin Fan1, Chengji Shi2, Kai Sun2, Xiaojuan Lu2,*

    Energy Engineering, Vol.118, No.4, pp. 1197-1221, 2021, DOI:10.32604/EE.2021.014532 - 31 May 2021

    Abstract This paper proposed a new type of combined cooling heating and power (CCHP) system, including the parabolic trough solar thermal (PTST) power generation and gas turbine power generation. The thermal energy storage subsystem in the PTST unit provides both thermal energy and electrical energy. Based on the life cycle method, the configuration optimization under eight operation strategies is studied with the economy, energy, and environment indicators. The eight operation strategies include FEL, FEL-EC, FEL-TES, FEL-TES&EC, FTL, FTL-EC, FTL-TES, and FTL-TES&EC. The feasibility of each strategy is verified by taking a residential building cluster as an… More >

  • Open Access

    ARTICLE

    Bilateral Filter for the Optimization of Composite Structures

    Yuhang Huo1, Ye Tian1, Shiming Pu1, Tielin Shi1, Qi Xia1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1087-1099, 2021, DOI:10.32604/cmes.2021.015694 - 24 May 2021

    Abstract In the present study, we propose to integrate the bilateral filter into the Shepard-interpolation-based method for the optimization of composite structures. The bilateral filter is used to avoid defects in the structure that may arise due to the gap/overlap of adjacent fiber tows or excessive curvature of fiber tows. According to the bilateral filter, sensitivities at design points in the filter area are smoothed by both domain filtering and range filtering. Then, the filtered sensitivities are used to update the design variables. Through several numerical examples, the effectiveness of the method was verified. More >

  • Open Access

    ARTICLE

    Topology and Shape Optimization of 2-D and 3-D Micro-Architectured Thermoelastic Metamaterials Using a Parametric Level Set Method

    Ellie Vineyard1, Xin-Lin Gao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 819-854, 2021, DOI:10.32604/cmes.2021.015688 - 24 May 2021

    Abstract 2-D and 3-D micro-architectured multiphase thermoelastic metamaterials are designed and analyzed using a parametric level set method for topology optimization and the finite element method. An asymptotic homogenization approach is employed to obtain the effective thermoelastic properties of the multiphase metamaterials. The -constraint multi-objective optimization method is adopted in the formulation. The coefficient of thermal expansion (CTE) and Poisson’s ratio (PR) are chosen as two objective functions, with the CTE optimized and the PR treated as a constraint. The optimization problems are solved by using the method of moving asymptotes. Effective isotropic and anisotropic CTEs More >

  • Open Access

    ARTICLE

    CFD Analysis and Optimization of an Engine with a Restrictor Valve in the Intake System

    Huali Guo*, Zhilong Zhang*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.4, pp. 745-757, 2021, DOI:10.32604/fdmp.2021.014651 - 17 May 2021

    Abstract In some competitions the rules clearly state that all participating cars must install a restrictor valve structure in the intake system of the engine. The intake air volume of the engine is considerably affected due to the existence of such a valve. Indeed, a small interface diameter through which gas flows can lead to considerable flow resistance and loss. In this study, a four-cylinder engine for FSC racing is analyzed using a combined method based on numerical simulation and experiments. The analysis reveals that the main factors affecting the intake air volume are the intake More >

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