iosr-JEEE   Volume-12 ~ Issue-4 ~ July-August 2017

Abstract: Automation is the use of control systems for operating equipment such as machinery, steering and otherapplications with minimal or reducedhuman intervention. The system explained in thisresearchpaperworks on driverless operation using automation. A communication linkis set up between the master and slave locomotive whichisused for distance minimizationbetweenthem, therebyimproving the frequency of operation. The system isalsoequippedwith certain specialfeatureslike anti collision system and automaticbrakingwhichcanbefruitful in lowvisibility and emergency conditions.
Key Words: Anti Collision, Automatic Braking, Automation, Communication, Distance minimization, Driverless

[1] Rolga Roy, StephyJohny and Arsha S, A Review on Technology Locomotives of Indian Railways, Imperial Journal of Interdisciplinary Research,Volume-2, Issue-5, 1998, 1260-1263
[2] Neha Deotale, Manish Katkar, S.P. Khandait, Automatic Train Operation, Scheduling, Simulation And Anti-Collision System With Termial's Station Backup of Train's Schedule – A Review, IOSR Journal of Computer Science(IOSR-JCE), e-ISSN: 2278-0661, p-ISSN: 2278-8727 PP 46-49

[3] Trima P. Fernandes e Fizardo, EgasNunes, YatishNaik, Jesuslee Pereira, Smart Metro Train, International Journal of Science and Research, Volume-6, Issue-2, February 2017, 480-483
[4] Ashfaq Hussain, Electric machines(NayiSarak Delhi: Dhanpat Rai and company Pvt Ltd.,2013)
[5] RobertBoylestad and Nashelsky, electronic devices and circuit theory(India: Prentice Hall, 2013).

Abstract: Contingency analysis is an important aspect of power system security assessment. Various probable outages is analyzed .Some cases may lead to transmission overload or bus limit violation. Such critical contingencies should be quickly identified for further detailed evaluation and for corrective measures. This process of identifying the critical contingencies is referred to as contingency selection. Conventional methods of contingency analysis are complete bounding methods; concentric.........
Key Words: Contingency Analysis, Neural Network, Genetic Algorithms, Particle swarm Optimization, Data mining

[1]. D.Thukaram, L.Jenkinsand K.Visakha"Improvement of system security with unified power flow controller at suitable locations under network contingencies of inter connected systems.IEE proc-Gener.Trans.Distrib vol 152, No.5, Sep 2005.
[2]. Aydogan ozdemir and chanan singh "Fuzzy logic based MW contingency ranking against masking problem"0-7803-6672-7/01/2001 IEEE
[3]. K.L.LO & A.K.I Abdelaal"Fuzzy logic based contingency analysis". International conference on electric utility deregulation and restructuring and power technology 2000
[4]. T.S.N.R .K srinivas,K.Ramesh Reddy ,V.K.D.devi "Composite criteria based Network contingency ranking using fuzzy logic approach.2009 . IEEE international Advance computing conference(IACC-2009)
[5]. R.C. Bansal Biblography on the Fuzzy set theory application in power system (1994-2001) IEEE transaction on power systems Vol-18 No.4 Nov 2003

Abstract: This paper presents a new meta-heuristic technique, Stud Krill Herd Algorithm (SKHA) for solving capacitor placement problem in radial distribution system (RDS). The algorithm predicted the optimal size of the capacitors and should be placed at the proper location for loss minimization and hence improvement in voltage. The Stud krill herd algorithm is established along the biological herding behavior of krills along with genetic operators namely Stud selection and Crossover operator........
Key Words: Capacitor placement, Power loss minimization, Radial distribution system (RDS), Stud Krill herd algorithm (SKHA)

[1] Shilpa Kalambe, Ganga Agnihotri, Loss minimization techniques used in distribution network: bibliographical survey, Renewable and Sustainable Energy Reviews, Vol. 29, 2014, 184–200
[2] M.M. Aman , G.B.Jasmon , A.H.A.Bakar , H.Mokhlis , M.Karimi , Optimum shunt capacitor placement in distribution system — A review and comparative study, Renewable and Sustainable Energy Reviews, Vol. 3, 2014, 429–439
[3] Y. Mohamed Shuaib, M. Surya Kalavathi , C. Christober Asir Rajan, Optimal capacitor placement in radial distribution system using Gravitational Search Algorithm, Electrical Power and Energy Systems, Vol. 64, 2015, 384–397
[4] Sneha Sultana , Provas Kumar Roy, Optimal capacitor placement in radial distribution systems using teaching learning based optimization, Electrical Power and Energy Systems, Vol. 54, 2014, 387–398
[5] K.R. Devabalaji , K. Ravi , D.P. Kothari, Optimal location and sizing of capacitor placement in radial distribution system using Bacterial Foraging Optimization Algorithm, Electrical Power and Energy Systems, Vol. 71, 2015, 383–390

Abstract: This study applies technique parallel distributed compensation (PDC) for position control of a Magnetic levitation system. PDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy model. It is shown that this technique can be successfully used to stabilize any chosen operating point of the system. All derived results are validated by experimental and computer simulation of a nonlinear mathematical model of the system. The controllers which introduced have big range for control the system
Key Words: Parallel Distributed Compensation, Magnetic Levitation System, Implementation

[1] L. Dong-kyu, L. Jun-Seong, H. Jae-Hung, and Y. Kawamura, "System modeling of a small flight vehicle using magnetic suspension
and balance system," in World Automation Congress (WAC), 2010, 2010, pp. 1-6.
[2] L. Xiaomei, L. Yaohua, L. Congwei, G. Qiongxuan, and Y. Zhenggang, "Study on status of parallel and multiple inverters for
traction system of Maglev," in Electrical Machines and Systems (ICEMS), 2010 International Conference on, 2010, pp. 210-214

[3] D. L. Trumper, S. M. Olson, and P. K. Subrahmanyan, "Linearizing control of magnetic suspension systems," Control Systems Technology, IEEE Transactions on, vol. 5, pp. 427-438, 1997.
[4] T. Wen and J.-c. Fang, "The exact feedback linerization control for the 2-DOF flywheel suspended by the passive and active hybrid magnetic bearings," in Electronics, Communications and Control (ICECC), 2011 International Conference on, 2011, pp. 2922-2926.
[5] Y. Zi-Jiang, K. Miyazaki, S. Kanae, and K. Wada, "Robust position control of a magnetic levitation system via dynamic surface control technique," Industrial Electronics, IEEE Transactions on, vol. 51, pp. 26-34, 2004.

Abstract: In this paper, a biologically motivated controller based on mammalian limbic system called Brain Emotional Learning Based Intelligent Controller (BELBIC) is used for velocity control of an Electro Hydraulic Servo System (EHSS) in presence of flow nonlinearities, internal friction and noise. It is shown that this technique can be successfully used to stabilize any chosen operating point of the system with noise and without noise. All derived results are validated by computer.........
Key Words: BELBIC, EHSS, Intelligent Control, Velocity Control

[1] H.E. Merritt,"Hydraulic Control Systems", New York:John Wiley John Wiley & Sons, Inc., 1967.
[2] J. Watton, "Fluid Power Systems", New York: Prentice Hall, 1989.
[3] Mihailo jovanovic "nonlinear control of an Electrohydraulic Velocity Servosystem", Proceedings of the American Control
Conference Anchorage, pp. 588-593, 2002.
[4] A. Mohseni, M. Teshnehlab, M. Aliyari. "EHSS Velocity Control by Fuzzy Neural Network", IEEE North American fuzzy
information processing society, pp. 13-18, 2006.
[5] H. Azimian, R. Adlgostar and M.Teshnehlab, "Velocitycontrol Of an Electrohydraulic servomotor by Neural Networks", Saint
Petersburg, RUSSIA, International Confernce Physcon, pp. 24-26, 2005

Abstract: Induction motors are widely used in industries these days. This is the reason they are manufactured in large numbers. This paper presents the comparative study of Artificial Neural Network (ANN), Fuzzy Control System, Adaptive Neuro-Fuzzy Inference System (ANFIS) and Proportional Integral. These all techniques are applied to AC machine drive to control current spikes. While AC induction motor is operating the load and the parameters varies accordingly........
Key Words: Current Controller, ANN, ANFIS, Fuzzy Logic Control, PI Control

[1]. P.M.Menghal, P., & A Jaya Laxmi. (2012, Octomber). Adaptive Neuro- Fuzzy Interference System (ANFIS) Based Simulation of Induction Motor Dirves. International Review on modelling and simulation, Vol 5.
[2]. P.M Menghal, P., & A Jaya Laxmi . (n.d.). Adaptive Neuro Fuzzy Based Dynamic Simulation of Induction Motor Drives.
[3]. P. M Menghal, P., & a Jaya Laxmi . (n.d.). A Comparative Performance Analysis of Artical Intelligene Technique for Induction Motor Drive.
[4]. BAHR, I. (2010). SoPC-based current controller for Permanent Magnet Synchronous Machines drive.
[5].

Abstract: Smart switch is a device which operates (ON/OFF) any electrical appliance with the help of mobile phone only by sending a SMS from any place (wherever GSM network is available). User sends a SMS to the mobile number, installed inside the GSM Module. The device first checks the authorization of the mobile number from which the SMS is received if it is from the user or not. If it is from the user, the device then compares the message body of the SMS which is treated as operating code or instruction with the predefined instruction which is already written in memory of the microcontroller & switches the state of the terminal, specified in the received instruction to ON or OFF..........
Key Words: SMS based Smart Switch, GSM Module, Microcontroller (ATMega32A-PU), User Interface, Drives.

[1]. Nnakwuzie, Doris Nkechi, Akobundu, Chinyere Ihuoma, Onah, M. U., SIM300 GSM Module Controller For Smart Home, International Journal Of Engineering And Computer Science, Volume 4 Issue 9 Sep 2015, Page No. 14126-14138.
[2]. G.RAGHAVENDRAN, Instrumentation and control engineering., Sri Sairam engineering college, Anna University, Chennai, India, SMS BASED WIRELSS HOME APPLIANCE CONTROL SYSTEM, 2011 International Conference on Life Science and Technology, IPCBEE vol.3 (2011) © (2011) IACSIT Press, Singapore

Abstract: This paper presents a robust control of DC Motor using fuzzy sliding mode control scheme and the additional Fractional PID controller. The additional controller relaying on the sliding-mode theory is used to improve the dynamical characteristics of the drive system. Sliding mode control method is studied for controlling DC motor because of its robustness against model uncertainties and external disturbances. In this method, using high control gain to overcome uncertainties.........
Key Words: Fractional PID Controller, PID Controller, Sliding Mode, Fuzzy logic, DC Motor.

[1]. Y. Heidari,A.R.Noee,H.Ali Shayanfar,S.Saheli," Robust Control of DC Motor Using Fuzzy Sliding Mode Control with Fractional PID Compensator" TJMCS vol.1 No.4(2010) 238-246.
[2]. Dr.B.M.Patre, V.M.Panchade, R.M.Nagrale," Sliding Mode Control Of DC Drives".In Tech Open,April-2011.
[3]. Tuning of Fractional PID Controllers by Using QFT, Joaquin Cervera, Alfonso Baños, University of Murcia, Concha A. Monje, Blas M. Vinagre, University of Extremadura.
[4]. K. D. Young, V. I. Utkin, and Ü. Özgüner, "A control engineer's guide to sliding mode control," IEEE Trans. Control Sys. Tech., vol. 7, 1999, pp. 328-342.
[5]. H. S. Choi, Y. H. Park, Y. S. Cho, and M. Lee, "Global sliding-mode control improved design for a brushless DC motor," IEEE Control Systems Magazine, vol. 21, 2001, pp. 27-35.

Abstract: In electric power systems that serve the load continuously should the voltage and frequency must remain constant, but if there is interference on one of the generators or the rail, then it is undeniable there will be disruption to the power supply. It is necessary to conduct a Research on the Stability of Power Systems relating to the Determination of Critical Breaking Angle and Critical Breaker Time on the generator, to find out how much the Critical Breaker Angle and how much of a Critical Breaker Time. In this paper used Runge Kutta Method 4th order with the help of Matlab software.
Key Words: Critical Breaker, Runge Kutta, Generator.

[1]. Cekdin Cekmas, 2006, "Sistem Tenaga Listrik", Penerbit Andi, Yogyakarta.
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[3]. Dibyo H. L., dan Suri A., 2012, "Studi Kestabilan Peralihan dengan Metoda Kriteria Sama Luas", Jurnal Teknika Vol.19 No.1 April 2012, Andalas.
[4]. Gross C.A., 1979, "Power System Analysis", John Wiley & Sons, New York.
[5]. Hanselman, D., dan B. Littlefield, 2000, "Matlab Bahasa Komputasi Teknis", Penerbit Andi, Yogyakarta

Abstract: Present-day power networks all over the world need to transfer bulk amount of power. This has resulted in vast interconnection of grids for assuring reliability, security, stability and economic operation. The challenges to ensure smooth system operation with stressed grid and averting system blackout provided the stimulus for research on voltage security. Voltage stability indices aid the security studies. Real-time voltage security assessment is based on synchronized phasor measurement obtained from phasor measurement units (PMUs). For fast accurate handling of data to synthesize.........
Key Words: Voltage security assessment(VSA), linear voltage security indicator(LVSI) Phasor measurement unit(PMU), Decision tree(DT), Fuzzy decision tree(FDT), Voltage stability indices(VSI),

[1] Breiman L, Friedman J, Olshen R A, and Stone C J, "Classification and Regression trees", Wadsworth Int Group, 1984
[2] Chakrabarty Kabir, Chakrabarty A, " Assessment of Voltage Security in Multi-bus Power System using ANN and Voltage Stability indicators", Journal of Electrical systems, 2010
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Abstract: Human life in the present runway is an extremely distressing system. Ordinarily, when we go out, we neglect to keep the house electric machine, gas catch, closed down the screen, home security can't be taken note. Arrangement is the home mechanization framework. (Automation is a framework in which you can keep our home and office from any area). Because of this above, we have a Home Computerization framework usage that will be done in the correct path with Home Machines and Home Security Handle. In this paper we present GSM based Home Computerization Framework in which we control the home apparatuses and keep up security framework. This framework will be the.........

[1] Manouchehr Gbahrmanian et.al " A new intelligent Remote control System for human Automation system for home Automation System and Reduce energy consumption"Fourth Asia International Conference on Mathematical Analytical Modelling and commputer simulation pp 174-180,2010
[2] M Van De, weff X Gui and W.L Xu 'mobile based home Automation System 2nd international conference on mobile technology Application and Sysem pp 1-5,2015
[3] Kyu Hwang et,al "Home Network configuring Scheme for all Electronics appliances using Ziggbee based integrated remote controller IEEE Transation on consumr electronics Vol 55 No 3 pp 1300-1307 Augest 2009
[4] Hyung bong Lee et.al "interactive remote control of legacy home appliance through a virtually wired Sensor netwok" IEEE Transaction on consumer Electronics vol 56 No 4, pp 2241-2248 2010
[5] Fabio. L. et.al "ZiggBee for bulding Control wireless sensor network" IMOC 2017 SBMOIIEEE MTT-S international Microwace and optoelectr unics confernce pp 511-515,2007