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  • Open Access

    ARTICLE

    Networking Controller Based Real Time Traffic Prediction in Clustered Vehicular Adhoc Networks

    T. S. Balaji1,2, S. Srinivasan3,*

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2189-2203, 2023, DOI:10.32604/iasc.2023.028785 - 19 July 2022

    Abstract The vehicular ad hoc network (VANET) is an emerging network technology that has gained popularity because to its low cost, flexibility, and seamless services. Software defined networking (SDN) technology plays a critical role in network administration in the future generation of VANET with fifth generation (5G) networks. Regardless of the benefits of VANET, energy economy and traffic control are significant architectural challenges. Accurate and real-time traffic flow prediction (TFP) becomes critical for managing traffic effectively in the VANET. SDN controllers are a critical issue in VANET, which has garnered much interest in recent years. With this… More >

  • Open Access

    ARTICLE

    Real Time Control System for Metro Railways Using PLC & SCADA

    Ishu Tomar*, Indu Sreedevi, Neeta Pandey

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1403-1421, 2023, DOI:10.32604/iasc.2023.028163 - 19 July 2022

    Abstract This paper proposes to adopt SCADA and PLC technology for the improvement of the performance of real time signaling & train control systems in metro railways. The main concern of this paper is to minimize the failure in automated metro railways system operator and integrate the information coming from Operational Control Centre (OCC), traction SCADA system, traction power control, and power supply system. This work presents a simulated prototype of an automated metro train system operator that uses PLC and SCADA for the real time monitoring and control of the metro railway systems. Here, SCADA… More >

  • Open Access

    ARTICLE

    Modeling and Control of Parallel Hybrid Electric Vehicle Using Sea-Lion Optimization

    J. Leon Bosco Raj1,*, M. Marsaline Beno2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1441-1454, 2023, DOI:10.32604/iasc.2023.026211 - 19 July 2022

    Abstract This paper develops a parallel hybrid electric vehicle (PHEV) proportional integral controller with driving cycle. To improve fuel efficiency and reduce hazardous emissions in hybrid electric vehicles (HEVs) combine an electric motor (EM), a battery and an internal combustion engine (ICE). The electric motor assists the engine when accelerating, driving longer highways or climbing hills. This enables the use of a smaller, more efficient engine. It also makes use of the concept of regenerative braking to maximize energy efficiency. In a Hybrid Electric Vehicle (HEV), energy dissipated while braking is utilized to charge the battery. More >

  • Open Access

    ARTICLE

    Performance Analysis of Optimization Based FOC and DTC Methods for Three Phase Induction Motor

    V. Jesus Bobin*, M. MarsalineBeno

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2493-2511, 2023, DOI:10.32604/iasc.2023.024679 - 19 July 2022

    Abstract Three-phase induction motors are becoming increasingly utilized in industrial field due to their better efficiency and simple manufacture. The speed control of an induction motor is essential in a variety of applications, but it is difficult to control. This research analyses the three-phase induction motor’s performance using field-oriented control (FOC) and direct torque control (DTC) techniques. The major aim of this work is to provide a critical evaluation of developing a simple speed controller for induction motors with improving the performance of Induction Motor (IM). For controlling a motor, different optimization approaches are accessible; in More >

  • Open Access

    ARTICLE

    Frequency Control Approach and Load Forecasting Assessment for Wind Systems

    K. Sukanya*, P. Vijayakumar

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 971-982, 2023, DOI:10.32604/iasc.2023.028047 - 06 June 2022

    Abstract Frequency deviation has to be controlled in power generation units when there are fluctuations in system frequency. With several renewable energy sources, wind energy forecasting is majorly focused in this work which is a tough task due to its variations and uncontrollable nature. Whenever there is a mismatch between generation and demand, the frequency deviation may arise from the actual frequency 50 Hz (in India). To mitigate the frequency deviation issue, it is necessary to develop an effective technique for better frequency control in wind energy systems. In this work, heuristic Fuzzy Logic Based Controller… More >

  • Open Access

    ARTICLE

    Gaussian PI Controller Network Classifier for Grid-Connected Renewable Energy System

    Ravi Samikannu1,*, K. Vinoth2, Narasimha Rao Dasari3, Senthil Kumar Subburaj4

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 983-995, 2023, DOI:10.32604/iasc.2023.026069 - 06 June 2022

    Abstract Multi-port converters are considered as exceeding earlier period decade owing to function in a combination of different energy sources in a single processing unit. Renewable energy sources are playing a significant role in the modern energy system with rapid development. In renewable sources like fuel combustion and solar energy, the generated voltages change due to their environmental changes. To develop energy resources, electric power generation involved huge awareness. The power and output voltages are plays important role in our work but it not considered in the existing system. For considering the power and voltage, Gaussian… More >

  • Open Access

    ARTICLE

    Optimized Power Factor Correction for High Speed Switched Reluctance Motor

    R. S. Preethishri*, J. Anitha Roseline, K. Murugesan, M. Senthil Kumaran

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 997-1014, 2023, DOI:10.32604/iasc.2023.025510 - 06 June 2022

    Abstract The Power Factor Correction (PFC) in Switched Reluctance (SR) motor is discussed in this article. The SR motors are applicable for multiple applications like electric vehicles, wind mills, machineries etc. The doubly salient structure of SR motor causes the occurrence of torque ripples, which affects the power factor of the motor. To improve the power quality, the power factor has to be corrected and the ripples have to be minimized. In order to achieve these objectives, a novel power factor correction (PFC) method is proposed in this work. Here, the conventional Diode Bridge Rectifier (DBR)… More >

  • Open Access

    ARTICLE

    Design and Analysis of Novel Three-Phase PFC for IM Drives

    V. Kavitha1,*, K. Subramanian2

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 231-241, 2023, DOI:10.32604/iasc.2023.024257 - 06 June 2022

    Abstract Induction motor drives (IMDs) can achieve high performance levels comparable to dc motor drives. A major problem in getting high dynamic performance in an IMD is the coupling between the flux and torque producing components of stator current. This is successfully overcome in FOC (Field-Oriented Control) IM, making it to the industry standard control. The performance of an IMD with an improved power quality converter at the front end is presented in this study. In the IMD, boost converter is employed to reduce power quality difficulties at the utility interface. As the boost converter contains… More >

  • Open Access

    ARTICLE

    Machine Learning Controller for DFIG Based Wind Conversion System

    P. Srinivasan1,*, P. Jagatheeswari2

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 381-397, 2023, DOI:10.32604/iasc.2023.024179 - 06 June 2022

    Abstract Renewable energy production plays a major role in satisfying electricity demand. Wind power conversion is one of the most popular renewable energy sources compared to other sources. Wind energy conversion has two major types of generators such as the Permanent Magnet Synchronous Generator (PMSG) and the Doubly Fed Induction Generator (DFIG). The maximum power tracking algorithm is a crucial controller, a wind energy conversion system for generating maximum power in different wind speed conditions. In this article, the DFIG wind energy conversion system was developed in Matrix Laboratory (MATLAB) and designed a machine learning (ML) More >

  • Open Access

    ARTICLE

    Optimization of Adaptive Fuzzy Controller for Maximum Power Point Tracking Using Whale Algorithm

    Mehrdad Ahmadi Kamarposhti1,*, Hassan Shokouhandeh2, Ilhami Colak3, Kei Eguchi4

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5041-5061, 2022, DOI:10.32604/cmc.2022.031583 - 28 July 2022

    Abstract The advantage of fuzzy controllers in working with inaccurate and nonlinear inputs is that there is no need for an accurate mathematical model and fast convergence and minimal fluctuations in the maximum power point detector. The capability of online fuzzy tracking systems is maximum power, resistance to radiation and temperature changes, and no need for external sensors to measure radiation intensity and temperature. However, the most important issue is the constant changes in the amount of sunlight that cause the maximum power point to be constantly changing. The controller used in the maximum power point… More >

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