2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)最新文献

Application of embedded control for automation of Hardware-In-Loop test benches 嵌入式控制在硬件在环试验台自动化中的应用

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633494

Snehal Naikawadi, Sandeep B Hake

引用次数: 1

Smart Agriculture Implementation using IoT and Leaf Disease Detection using Logistic Regression 使用物联网实现智能农业和使用逻辑回归进行叶病检测

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633608

T. Rajeshwari, P. A. Harsha Vardhini, K. Manoj Kumar Reddy, K. K. Priya, K. Sreeja

{"title":"Smart Agriculture Implementation using IoT and Leaf Disease Detection using Logistic Regression","authors":"T. Rajeshwari, P. A. Harsha Vardhini, K. Manoj Kumar Reddy, K. K. Priya, K. Sreeja","doi":"10.1109/RDCAPE52977.2021.9633608","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633608","url":null,"abstract":"The need of robotics, automation, IoT and its implementation based on precision agriculture is very much necessary to eliminate the usage of manpower in farming. In order to make this more efficient system, adding machine learning based leaf disease detection is very much needy. This can result in saving the time, energy of the farmer and thereby improve productivity and efficiency. Usage of various electronic sensors and use of cloud-based service can also facilitate accurate measurement of any parameters and fast processing in regard to farming. A prototype of an agricultural rover to perform ploughing and seed sowing, a separate automatic irrigation, and fertilizer sprinkling system are made to facilitate effective cultivation. The rover is controlled by a smartphone through Wi-Fi module. The irrigation, fertilizer sprinkling system is automated and the parameters are made to be displayed on a cloud based IoT analytics service called thing speak and OLED. For the leaf disease detection part, machine learning based logistic regression is used with some optimizations to improve the accuracy.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125260076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Analysis of electric vehicle battery system 电动汽车电池系统分析

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633532

Manasi Pattnaik, M. Badoni, YogeshTatte, H. Singh

{"title":"Analysis of electric vehicle battery system","authors":"Manasi Pattnaik, M. Badoni, YogeshTatte, H. Singh","doi":"10.1109/RDCAPE52977.2021.9633532","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633532","url":null,"abstract":"Research in the field of Electric Vehicles (EV) is significantly increasing. EV is powered by the battery pack. Therefore, an improvement in the accuracy of the battery model is required. Batteries have several operational challenges, which required a proper Battery Management System (BMS) to achieve optimal performance. This paper provides an analysis of EV batteries and a study on battery management systems in EV applications. This review focuses on many issues, challenges, and problems of Electric Vehicles. This review enhances the development effort of the advance Battery Management system. The purpose of modelling is to detect internal variables such as state of charge (SOC) and internal resistance, calculated based on external variables such as battery voltage, current, and temperature. BMS is responsible for safe operation, performance and quality of life under various charge/discharge, and environmental conditions. When designing a BMS, cell voltage, temperature, state of charge (SOC), state of health (SOH) should be controlled and maintained. Accurate battery models are required for the proper design and operation of battery-powered systems. This paper shows a battery model based on the Simulink and simscape of MATLAB, to build and parameterize the Li-ion battery model. The performance of the battery model is tested in the Urban Dynamometer Driving Schedule (UDDS) cycle. The test results obtained from a Li-ion polymer battery were compared with data provided for the models.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Classification and Analysis of Power System Faults in IEEE-14 Bus System using Machine learning Algorithm 基于机器学习算法的IEEE-14总线系统电力系统故障分类与分析

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633750

Praveen Kumar, Baidyanath Bag, N. Londhe, Anurag Tikariha

{"title":"Classification and Analysis of Power System Faults in IEEE-14 Bus System using Machine learning Algorithm","authors":"Praveen Kumar, Baidyanath Bag, N. Londhe, Anurag Tikariha","doi":"10.1109/RDCAPE52977.2021.9633750","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633750","url":null,"abstract":"The complexity in the Power transmission and distribution sectors is increasing day by day with a continuous increase in power demand. Due to the increased complexity, the frequency of symmetrical and unsymmetrical fault has significantly increased, leading to frequent tripping of circuit Breakers. Due to which the reliability and quality provided at the consumer end are jeopardizing, therefore, it is necessary to develop an intelligent mechanism that can easily identify the power system fault so that occurrence of failure is more frequent in transmission and distribution lines due to symmetrical and unsymmetrical faults. As a result, the power reliability and the quality of the service provided by the Power Sector are identified to be at risk. Providing an adequate system that can identify the power system faults is very essential for the faster restoration of the faults in the power supply. In this paper, the analysis and performance of machine learning algorithms for the classification of faults in the power system are studied. Current and Voltage data were taken from a standard IEEE-14 bus system normal, symmetrical, and unsymmetrical fault cases were simulated in MATLAB Simulink. The data extracted is then used to train and tested through the SVM model. The main objective of this work is to classify the different types of fault happening in power systems with accuracy for faster restoration.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121162958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Implement an Economical Automatic CNC Wood Lathe Machine 经济型自动数控木材车床的设计与实现

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633378

Nancy Rastogi, Hardik Rastogi, Neelam Shrivastava

{"title":"Design and Implement an Economical Automatic CNC Wood Lathe Machine","authors":"Nancy Rastogi, Hardik Rastogi, Neelam Shrivastava","doi":"10.1109/RDCAPE52977.2021.9633378","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633378","url":null,"abstract":"The purpose of this research is to create a low-cost Computer numeric control wood lathe with our efficient resources which have sufficient features as required. It reduces time, space and production cost, from this research, you can implement this system in Manual lathe and update into automatic CNC lathe. In this paper the hardware and software parts are combined and engineered the design of this CNC machine during this system, we use UNIVERSAL G CODE SENDER as the programming software for sending the G-code to CNC controller. Within the machine there’s a computer that contains the application, in this you send the CNC program, and the application sends orders to the controller and controller translate them into some reasonably signals to the motor drivers then, finally motor driver drives the motor in according to the G code and move the tool and make the work you wish. It consists two stepper motors for X, Z axis movement, Tailstock, main Spindle, bed, tool holder, and a few security features to avoid accidents also it's had adjustable feature this could make both small and big products.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116152438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Single Area & Two Area Multimachine Load Frequency Control Strategy 单区和双区多机负荷频率控制策略

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633366

P. K. Nayak, H. Singh, Kamlesh Pandey, S. Sinha

引用次数: 0

Smart Traffic Light Control System for Lovely Professional University 可爱专业大学智能交通灯控制系统

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633649

Sourabh Thakur, Kanishak Sharma, Sonu Kumar, Velpula Upendra, Javed Dhillon

引用次数: 0

Security Margin Enhancement in Deregulated Power System Implementing TCSC 实施TCSC的放松管制电力系统安全裕度的提高

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633486

Anurag Gautam, Ibraheem, Gulshan Sharma

{"title":"Security Margin Enhancement in Deregulated Power System Implementing TCSC","authors":"Anurag Gautam, Ibraheem, Gulshan Sharma","doi":"10.1109/RDCAPE52977.2021.9633486","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633486","url":null,"abstract":"Efficient and secure operation of any power system solely depends on the balance between power generation and delivery of energy to customers in an optimal way, especially in competitive deregulated electricity markets. To ensure system reliability, it is necessary to avoid complications in voltage profile, power losses, and system security margin due to the congestion in the system. This paper presents a method to implement multiple flexible alternating current transmission systems (FACTS) in the pool electricity market for reducing voltage deviation and enhancement of the security margin of the system. The location of FACTS being determined with the help of line utilization factor (LUF) and disparity line utilization factor (DLUF) as sensitivity factor while the parameter setting of FACTS is done with the help of hybrid grey wolf particle swarm optimization (HGWPSO) algorithm. The obtained results are compared with the well-established algorithms. The results for the present research work are validated through modeling and simulation on standard IEEE 30 bus systems.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131468795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Study on Development of CNTFET Based Analog and Digital Circuits 基于CNTFET的模拟和数字电路开发研究

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633592

Manoj Kumar Tomar, Vimlesh Singh, Laxya Laxya

{"title":"A Study on Development of CNTFET Based Analog and Digital Circuits","authors":"Manoj Kumar Tomar, Vimlesh Singh, Laxya Laxya","doi":"10.1109/RDCAPE52977.2021.9633592","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633592","url":null,"abstract":"In the electronic manufacturing industry approximately 95% of electronic devices are manufactured by silicon. Due to excessive use of silicon its reaches to the saturation level because to exploit more properties of its make this extraction process expensive. Carbon is one such material which has potential to replace silicon. Carbon nano tubes (CNT) are one of promising structure of carbon atoms that work on 22nm more effectively than silicon. Design of Field effect transistor (FET) by the CNT is encouraging because it enriches the fundamental silicon-based Metal oxide semiconductor field effect transistor (MOSFET) and it could lead to an increase in the effectiveness of Moore's law even further. The CNT-based FET (Cntfet) is a CNTFET that has been used appreciably within the implementation of electronic circuits. This article gives the maximum superior literature associated with carbon nanotube structure, CNT based FET and CNTFET associated circuit design. An assessment based on analog and digital circuits on design by CNTFET is discussed. CNTFET has advanced the overall performance of each analog and digital circuit. The work is going to be terribly helpful for folks operating within the field of Carbon Nano Tube based analog and digital electronic circuit design.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131737032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning enabled Condition Monitoring Models for Predictive Maintenance of Boilers 机器学习支持锅炉预见性维护的状态监测模型

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633534

V. Prabhu, Daksh Chaudhary

{"title":"Machine Learning enabled Condition Monitoring Models for Predictive Maintenance of Boilers","authors":"V. Prabhu, Daksh Chaudhary","doi":"10.1109/RDCAPE52977.2021.9633534","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633534","url":null,"abstract":"The fourth industrial revolution (Industry 4.0) encompasses three major technological trends driving this transformation: Connectivity, Intelligence and Flexible Automation. Predictive maintenance allows the organizations to identify potential problems in the production devices far before the failure occurs. This paper aims at implementing an interdisciplinary approach by studying key performance indicators of the boiler and modelling the data acquired, using machine learning algorithms.The efficiency of the boiler is mapped by analyzing the performance of its various components. It is observed that the performance of the oil heater and feedwater pump affect the efficiency of the boiler significantly. Predictions for the future are made by implementing a polynomial regression model on the Key Performance Indicators of the boiler. The critical point is defined as the point below which the performance of the boiler deteriorates significantly and affects productivity at a large scale.This study determines the number of days in which the oil heater and the water pump would reach their respective critical points. This eventually helps to gain valuable insights into the efficiency of the boiler and predict the consistency of the equipment so as to minimize the losses and make important decisions well ahead in time.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131149173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2