i-manager Publications

i-manager's Journal on Embedded Systems (JES)

Current Issue Vol. 12 Issue 2

Most Cited

Volume 2 Issue 4 November - January 2014

Research Paper

A Hybrid EP-SA-TS Method To Solve The Hydro – Thermal Unit Commitment Problem

Nimain Charan Nayak*

Professor, MNM Jain Engineering College, Chennai, India.

Nayak,N,C. (2014). A Hybrid EP-SA-TS Method to Solve the Hydro – Thermal Unit Commitment Problem. i-manager’s Journal on Embedded Systems, 2(4), 1-11. https://doi.org/10.26634/jes.2.4.2801

Abstract

This paper presents a new approach to solve the Hydro – Thermal short-term unit commitment problem using hybrid algorithm based on Evolutionary Programming, Simulated Annealing and Tabu Search Method. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also means that it is desirable to find the optimal generating unit commitment in the power system for the next H hours. Evolutionary programming is a Global Optimization Technique for solving Unit Commitment Problem that operates on a system, which is designed to encode each unit's operating schedule with regard to its minimum up/down time. Simulated Annealing and Tabu Search methods improve the status by avoiding entrapment in local minima. A seven unit utility power system with twelve generating units in India demonstrates the effectiveness of the proposed approach; Extensive studies have also been performed for different IEEE test systems consisting of 10, 26 and 34 Units. Numerical results are shown comparing the cost solutions and computation time obtained by the proposed hybrid method and other conventional methods like Dynamic Programming, Legrangian Relaxation in reaching proper unit commitment.

References

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[2]. Hsu. Su, Y.Y. Liang, C.C. Lin, C.J. Huang, C.T. (1991). “Dynamic Security Constrained Multi-Area Unit Commitment”. IEEE Trans. Power Systems, Vol.6, pp.1049- 1055.

[3]. Tao Li, Mohammad Shahidehpour (2005). “Price- Based Unit Commitment: A Lagrangian Relaxation Versus Mixed Integer Programming”. IEEE Trans. Power Systems, Vol. 20, No. 4, pp. 2015-2025.

[4]. Samer Takriti. John R.Birge. (2000). Using Integer Programming To Refine Lagrangian – Based Unit Commitment Solutions. IEEE Trans. Power Systems, Vol.15, No.1, pp.151-156.

[5]. Bakirtzis, A.G. Zoumas, C.E. (2000). “Lambda of Lagrangian relaxation solution to unit commitment problem”. IEEE Proc. Generation, Transmission and Distribution, Vol.147, No.2, pp.131-136.

[6]. Chuan-ping Chang. Chih-wen Liu. Chun-chang Liu.: (2000). “Unit Commitment by Lagrangian Relaxation and Genetic Algorithm”. IEEE Trans. Power Systems, Vol.15, No.2, pp.707-714.

[7]. Weerakorn Ongsakul, Nit Petcharaks (2004). “Unit Commitment by Enhanced Adaptive Lagrangian Relaxation”. IEEE Trans. Power Systems, Vol. 19, No. 1, pp. 620-628.

[8] Cohen A.I. Yoshimura, M. (1983). “A Branch and Bound Algorithm for Unit Commitment”. IEEE Trans. Power and Apparatus, Vol. 102, No.2, pp.444-451.

[9]. Ouyang, Z. Shahiderpour, S.M. (1990). “Short term Unit Commitment Expert System”. International Journal of Electrical Power System Research, Vol. 20, pp.1-13.

[10]. Su, C.C. Hsu, Y.Y. (1991). “Fuzzy Dynamic Programming: an application to Unit Commitment”. IEEE Trans. Power Systems, Vol.6, No.3, pp.1231-1237.

[11]. Anbazhagan S. and N. Kumarappan (2012). “A neural network approach to day-ahead deregulated electricity market prices Classification”, Electric Power Systems Research, Vol.86, No.3, pp.140-150.

[12]. Senjyu, T. Saber, A.Y. Miyagi, T. Shimabukuro, K. Urasaki, N. and Funabashi, T. (2005). “Fast Technique for Unit Commitment by Genetic Algorithm Based on Unit Clustering”. IEEE Proc. Generation, Transmission and Distribution, Vol. 152, No.5, pp. 705-713.

[13]. Ioannis G. Damousis, Anastasios G. Bakirtzis, Petros S. Dokopoulos (2004). “A Solution to the Unit Commitment Problem Using Integer-Coded Genetic Algorithm”. IEEE Trans. Power Systems, Vol. 19, No. 2, pp. 1165-1172.

[14]. Azadeh A. et al. (2012), “A New genetic algorithm approach for optimizing bidding strategy viewpoint of profit maximization of a generation company”, Expert Systems with Applications, Vol. 39, No.4, pp.1565–1574.

[15]. Padhy, N.P. (2000). Unit Commitment using Hybrid Models: “A Comparative Study for Dynamic Programming, Expert Systems, Fuzzy System and Genetic Algorithm”. International Journal of Electrical Power & Energy Systems, Vol.23, No.1, pp.827-836.

[16]. Zhuang, F. Galiana, F.D. (1990). “Unit Commitment by Simulated Annealing”. IEEE Trans. On Power Systems, Vol. 5, No.1, pp. 311-318.

[17]. Kirkpatrick, S. Gelatt, JR., C.D. Vecehi, M.P. (1983). “Optimisation by Simulated Annealing”. Science, Vol. 220, pp. 4598.

[18]. Shokri Z. Selim. Alsultan, K. (1991). “A Simulated Annealing Algorithm for the Clustering Problem”, Pattern Recognition, Vol. 24, No. 10, pp. 1003-1008.

[19]. Mantawy, A.H. Youssef L. Abdel-Magid. Shokri Z. Selim. (1998). “A Simulated Annealing Algorithm for Unit Commitment”. IEEE Trans. On Power Systems, Vol. 13, No. 1, pp. 197-204.

[20]. Mantawy, A.H. Youssef L. Abdel-Magid, Shokri Z. Selim. (1998). “A Unit Commitment By Tabu Search”. IEE Proc. Generation, Transmission and Distribution, Vol. 145, No. 1, pp.56-64.

[21]. Whei-Min Lin. Fu-Sheng Cheng. Ming-Tong Tsay. (2002). “An Improved Tabu Search for Economic Dispatch with Multiple Minima”. IEEE Trans. Power Systems, Vol.17, No.1, pp.108-112.

[22]. Yong-Gang Wu. Chun-Ying Ho. Ding-Yi Wang. (2000). “A Diploid Genetic Approach to Short-Term Scheduling of Hydro-Thermal System”. IEEE Trans. Power Systems, Vol.15, No.4, pp.1268-1274.

[23]. Ying-Yi Hong. Chih-Yuan Li.: (2002). “Genetic Algorithm Based Economic Dispatch for Cogeneration Units Considering Multiplant Multibuyer Wheeling”. IEEE Trans. Power Systems, Vol.17, No.1, pp.134-140.

[24]. Mantawy, A.H. Youssef L. Abdel-Magid, Shokri Z. Selim. (1999). “Integrating Genetic Algorithm, Tabu Search and Simulated Annealing For the Unit Commitment Problem”. IEEE Tans. Power Systems, Vol.14, No.3, pp.829-836.

[25]. Bai, X. Shahidehpour, M. (1996). “Hydro-Thermal Scheduling by Tabu Search and Decomposition Method”. IEEE Trans. Power Systems, Vol.11, No.2, pp.968-975.

[26]. Bai, X. Shahidehpour, M. (1997). “Extended Neighbourhood Search Algorithm for Constrained Unit Commitment”. International Journal of Electrical Power and Energy Systems, Vol.19, No.5, pp.349-356.

[27]. Juste, K.A. Kita, H. Tanaka, E. Hasegawa, J. (1999). An Evolutionary Programming Solution to the UC Problem. IEEE Trans. Power Systems, Vol.14, No.4, pp.1452-1459.

[28]. Yang, H.T. Yang P.C. Huang, C.L. (1996). “Evolutionary Programming Based Economic Dispatch for Units with Non-smooth Fuel Cost Functions”. IEEE Trans. Power Systems, Vol.11, No.1, pp.112-117.

[29]. Teuvo Kohonen, (1998). “An Introduction to Neural Computing”. Neural Networks Journal, Vol. 1, No.1, pp. 3- 16.

[30]. Wood A.J. Woollenberg, B.F. (1996). “Power Generation and control” 2nd Edn.. John Wiley and Sons, New York.

[31]. Fogel, D.B.: (1995). “Evolutionary Computation, Toward a New Philosophy of Machine Intelligence”. IEEE Press, New York.

[32]. Back, T.: (1996). “Evolutionary Algorithms in Theory and Practice”. Oxford University Press, New York.

[33]. Fogel, L.J. Owens, A.J. Walsh, M.J.: (1996). “Artificial Intelligence through Simulated Evolution”. John Wiley & Sons, New York.

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Research Paper

Fault Detection Methods for Interconnects in ReconfigurableHardware

Pradeep C* , Radhakrishnan R**

* Research Scholar, Anna University, Tamilnadu.

** Professor, SSIET, Tamilnadu.

Pradeep.C., and Radhakrishnan.R. (2014).Fault Detection Methods for Interconnects in Reconfigurable Hardware. i-manager’s Journal on Embedded Systems, 2(4), 12-19. https://doi.org/10.26634/jes.2.4.2803

Abstract

The testing of reconfigurable hardware is performed in logic block and interconnects. There are two methods of testing, application independent and application dependent. Simulation results of detection method for permanent faults and transient faults in interconnects are presented in this paper. This method for permanent fault detection, tests the resources that are utilized by a specific design implemented on Field Programmable Gate Array (FPGA). A possible approach to reduce the number of test configurations will shorten test time with complete coverage and less power consumption which is presented. In the proposed method, an activating input is connected to multiple nets, thus generating a compact set of activating test vectors. This method achieves good fault coverage with reduced number of test configurations. It covers all possible stuck-at and bridging faults in the interconnects.Transient fault detection used in this paper is an application independent method.The proposed methods are useful for building self repairable systems.The simulation is performed using the Xilinx ISE 13.6 and ModelSim 6.6b.

References

[1]. R. Ellison, R. Linger, H. Lipson, N. Mead, and A. Moore, (2002). “Foundations for survivable systems engineering,” The Journal of Defense Software Engineering, pp. 10–15, July.

[2]. Y. Kasai, H. Sakanashi, M. Murakawa, S. Kiryu, N. Marston, and T. Higuchi, (2000), “Initial evaluation of an evolvable microwave circuit,” in Proc. 3rd Int. Conf. Evolvable Systems, pp. 103–112.

[3] T. Anderson and P. A. Lee. (1992). “Fault Tolerance - Principles and Practice”. Springer–Verlag, New York.

[4]. M.B. Tahoori, (2006). “Application-Dependent Testing of FPGAs,” IEEE Trans. Very Large Scale Integration Systems, Vol. 14, No. 9, pp. 1024- 1033.

[5]. M.B. Tahoori, E.J. McCluskey, M. Renovell, and P. Faure, (2004). “A Multi-Configuration Strategy for an Application Dependent Testing of FPGAs,” Proc. 22nd IEEE VLSI Test Symp., pp. 154-159.

[6]. D. Das and N.A. Touba, (1999). “A Low Cost Approach for Detecting, Locating. and Avoiding interconnect Faults in FPGA-Based Reconfigurable System,” Proc. Int'l Conf. VLSI Design, pp. 266-269.

[7]. M.B. Tahoori, (2003). “Using Satisfiability in Application- Dependent Testing of FPGA Interconnects,” Proc. 40th Design Automation Conf., pp. 678-681.

[8]. L.T. Wang, C. Stroud & N. Touba, (2007). System-on- Chip Test Architectures: Nanometer Design for Testability, Morgan Kaufmann.

[9]. M. Bushnell and V. Agrawal, (2000). “Essentials of Electronic Testing for Digital, Memory and Mixed-Signal VLSI Circuits”, Springer.

[10]. C. Stroud, (2002). “A Designer's Guide to Built-In Self- Test”, Boston, Springer.

[11]. “IEEE Standard Testability Method for Embedded Core-Based Integrated Circuits”, IEEE Std. 1500-2005, New York, 2005.

[12]. M. Abramovici and C. Stroud, (2001). “BIST-based test and diagnosis of FPGA logic blocks,” IEEE Trans. on VLSI Syst., Vol. 9, No. 1, pp. 159-172,

[13]. Omana, M. et al. (2006). “Low-Cost and Highly Reliable Detector for Transient and Crosstalk Faults Affecting FPGA Interconnects.” Proceedings of the Design Automation & Test in Europe Conference.

[14]. Kumar, T. Nandha, and Fabrizio Lombardi. (2013). “A Novel Heuristic Method For Application-Dependent Testing Of A SRAM-Based FPGA Interconnect”. IEEE Transactions on Computers, pp163-172.

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Research Paper

Influencing Parameters Of Image Display Acceleration

N. Harathi* , V. Meenakshi, C.H. Suneetha*

- Assistant Professor, Department of EIE, Sree Vidyanikethan Engineering College Tirupati.

Associate Professor, Department of ECE, Vignana Bharathi Institute of Technology, Aushapur.

Harathi.N., Meenakshi.V., and Suneetha.CH. (2014).Influencing Parameters Of Image Display Acceleration. i-manager’s Journal on Embedded Systems, 2(4), 20-30. https://doi.org/10.26634/jes.2.4.2804

Abstract

Based on the idea of combining Embedded system with Image processing, this paper designs an embedded system which simulates the weapon mode. In this a background picture should be moved quickly by S3C2440 processor which is based on ARM9.Due to the limitation of hardware resources in embedded systems, it is difficult to realize high speed image processing with conventional solution. In this paper, the authors discussed about the DMA technology and Software Algorithm that provides smooth, stable and fast moving images. It provides good reference for graphic development on embedded systems.

References

[1]. Samsung Electronics Co.,Ltd. S3C2440A 32-Bit RISC Microprocessor User' s Manual[Z]. 2007.

[2]. Aylor A P. (2004). Intelligent transport systems: emerging technologies and methods in transportation and traffic [J].Transportation Research Part C: Emerging Technologies, 6, (6) :167-169.

[3]. SHEN X S,LIU J Y,SUN Y R,et al. (2005). Research on multi-function vehicle navigation and monitoring system for urban vehicle[J]. Transactions of Nanjing University of Aeronautics & Astronautics, 22 (2) :183-187.

[4]. Video Acceleration API,(http://freedesktop.org/wiki/ Software/vaapi).

[5]. Windows Embedded (http://go.microsoft.com/ fwlink/? LinkId=192020).

[6]. Lin, C. Y. Chang, S. F. A robust (2001). image authentication method distinguishing JPEG compression from malicious manipulation, Source: IEEE Transactions on Circuits and Systems for Video Technology, vol 11, no 2, February, 153-168.

[7]. Stephen Balacco, S. Lanfear, Linuxs (2002). Future in the Embedded Systems Market, Industry analysis, Venture Development Corporation.

[8]. Haritaoglu I, Harwood D and Davis L. (2002). Realtime surveillance of people and their activities, IEEE Trans Pattern Analysis and Machine Intelligence, 22(8).

[9]. Jue Sun, Ham Hua Ng, Peter Ryser, (2006). Minimal Footprint Tri - Mode Ethernet MAC Processing Engine.www.xilinx.com.2.

[10]. Li Hui, Bai Lin, Ji Yuefeng. Building Network Management System for Video conference

[11]. System in Intranet, Proceedings of SPIE- (2004). The International Society for Optical Engineering, 868-876.

[12]. ZhanJun Sun, XiaoWu Luo, Shengen Luo. (2005), USB Device Driver Development Based on the Embedded Linux System, ICEMI, (1) 668.

[13]. Stringa E. (2000), Morphological change detection algorithms for surveillance applications. In: British Machine Vision Conference, Bristol, UK, 402-411.

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Research Paper

An Empirical Study on Privacy-Preserving Models

M.Giri* , S. Madhumitha**

* Professor and Head, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

** M.Tech Scholar, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

Giri.M., and Madhumitha.S. (2014). An Empirical Study On Privacy-Preserving Models. i-manager’s Journal on Embedded Systems, 2(4), 31-36. https://doi.org/10.26634/jes.2.4.2805

Abstract

In real world many organizations deal with large amount of data, which are the private information collected from individuals. They need to provide security measures to the private data, to provide the results without revealing private information. Many individuals are afraid of exposing their own information and give false inputs and the organizations should be careful about when and where to expose the privacy information and provide security controls. This is how the privacy preserving data mining has become more popular in recent years. In this paper we discuss about various privacy preserving data mining models and also provide comparative study on it. Measuring different techniques, the authors propose that secure multiparty computation mechanism is the best solution for protecting the private information.

References

[1]. M. Kantarcioglu and W. Jiang. (2013). “Incentive Compatible Privacy Preserving Data Analysis”. IEEE Transactions on Knowledge and Data Engineering, Vol. 26, No. 6, pages 1323- 1335,June.

[2]. J. Wang, Y. Zhao, J. Le, Y. Luo. A (2009). “Survey on Privacy Preserving Data Mining”. First International Workshop on Database Technology and Applications, pages 111-114,

[3]. X. Ge and J. Zhu. (2011). “New Fundamental Technologies from Data Mining” edited by K. Funatsu, In Tech. Privacy Preserving Data Mining, Vol. 29, pages 535- 560, January.

[4]. Y. Shoham and M. Tennenholtz. “Non- Cooperative: Boolean functions with correctness and exclusivity”. Pages 1-21.

[5]. F. Al-Yarimi and S. Minz. (2012). “Multilevel Privacy Preserving in Distributed Environment using Cryptographic Technique”. Proceedings of the World Congress on Engineering, Vol. I.

[6]. B. Pinkas and Y. Lindell. (2009). “Secure Multi-party Computation for Privacy Preserving Data Mining”. The Journal of Privacy and Confidentiality, No. 1, pages 59- 98.

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Research Paper

Design of New Multilevel Inverter Topology for Various Unipolar Inverted Sine Carrier PWM Strategies

C. R. Balamurugan* , S. P. Natarajan, M. Arumugam*, R. Bensraj****

, Department of EEE, Arunai Engineering College, Tiruvannamalai, Tamilnadu, India.

,****Annamalai University, Chidambaram, Tamilnadu, India

Balamurugan.C.R., Natarajan.S.P., Arumugam.M., and Bensraj.R. (2014). Design Of New Multilevel Inverter Topology For Various Unipolar Inverted Sine Carrier PWM Strategies. i-manager’s Journal on Embedded Systems, 2(4), 37-43. https://doi.org/10.26634/jes.2.4.2806

Abstract

Multilevel Inverters have been widely used for high power and high voltage applications as their performance is highly superior to that of conventional two level inverters due to reduced harmonic distortion, lower electromagnetic interference, and higher dc link voltages, but it has some disadvantages such as increased number of components, complex pulse width modulation control method and voltage-balancing problem. In order to compensate the above described disadvantages a new topology with a reversing voltage component is proposed to improve the multilevel performance. This topology requires fewer components compared to existing inverters (particularly in higher levels) and requires fewer carrier signals and gate drives. Therefore, the overall cost and complexity are greatly reduced particularly for higher output voltage levels. Finally, a prototype of the seven level proposed topology is built and tested with different modulation strategies to show the performance of the inverter by experimental results using MATLAB-SIMULINK. By comparing the various PWM techniques, it is observed that UAPODPWM provides less THD, and UCOPWM techniques provide higher fundamental RMS output voltage.

References

[1]. Domingo Ruiz-Caballero, Luis Martinez, Reynaldo Ramos and Samir A. Mussa, “New Asymmetrical Hybrid Multilevel Voltage Inverter”, Process. IEEE conf Rec. 978-1- 4244-3370-4/09, pp.354-361.

[2]. Nasrudin Abd. Rahim, Mohamad Fathi Mohamad Elias and Wooi Ping Hew, (2011). “Transistor-Clamped HBridge Based Cascaded Multilevel with New Method of Capacitor Voltage Balancing Inverter”, Process. IEEE conf Rec., pp.1-14.

[3]. Suroso and Toshihiko Noguchi, “A Multilevel Voltage- Source Inverter Using H-bridge and Two-Level Power Modules with a Single Power Source”, Process. IEEE conf Rec.978-1-4577-0001-9/11, pp. 262-266.

[4]. Murugesan.G, Jagabar sathik.M and Praveen.M, (2011). “A new multilevel inverter topology using less number of switches”, ISSN: 0975-5462, International Journal of Engineering Science and Technology, Vol.3 No.2, pp.1500-1510.

[5]. Rahilal, M. Santhi and A. Kannabhiran, (2012). “A New 81 Level inverter with reduced number of switches”, Process. IEEE conf Rec. ISBN: 978-81-909042-2-3, pp.485- 489.

[6]. K.K. Gupta and S. Jain, (2012). “Topology for multilevel inverters to attain maximum number of levels from given DC sources”, IET Power Electron., Vol. 5, No. 4, pp. 435–446.

[7]. Zahra Bayat and Ebrahim Babaei, “A New Cascaded Multilevel Inverter with Reduced Number of Switches”, Process. IEEE conf Rec, ISBN: 978-1-4673-0113/12, PP.416- 421.

[8]. Ho-Dong Sun, Honnyong Cha, Heung-Geun Kim and Tae-Won Chun,Eui-Cheol Nho, 'Multi-level Inverter Capable of Power Factor Control with DC Link Switches',IEEE:978-1-4577-1216-6/12, pp.1639-1643.

[9]. P. Roshankumar, P. P. Rajeevan, K.Mathew, K. Gopakumar, Jose I. Leon & Leopoldo G. Franquelo, (2012). “A Five-Level Inverter Topology with Single-DC Supply by Cascading a Flying Capacitor Inverter and an H-Bridge”, IEEE Transactions on Power Electronics, Vol. 27, No. 8, pp.3505-3515.

[10] . Javad Ebrahimi, Ebrahim Babaei (2012). “A new multilevel converter topology with reduced number of power electronic components”, IEEE Transactions on Industrial Electronics, Vol. 59, No. 2, pp.655-667.

[11] . Max A. Parker, Li Ran and Stephen J. Finney, (2013). “Distributed Control of a Fault-Tolerant Modular Multilevel Inverter for Direct-Drive Wind Turbine Grid Interfacing”, IEEE Transactions on Industrial Electronics, Vol. 60, No. 2, Feb , pp-509-522.

i-manager's Journal on Embedded Systems (JES)

Current Issue Vol. 12 Issue 2

Most Read

Most Cited

Volume 2 Issue 4 November - January 2014

A Hybrid EP-SA-TS Method To Solve The Hydro – Thermal Unit Commitment Problem

Nimain Charan Nayak*

Professor, MNM Jain Engineering College, Chennai, India.

Nayak,N,C. (2014). A Hybrid EP-SA-TS Method to Solve the Hydro – Thermal Unit Commitment Problem. i-manager’s Journal on Embedded Systems, 2(4), 1-11. https://doi.org/10.26634/jes.2.4.2801

Abstract

References

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Fault Detection Methods for Interconnects in ReconfigurableHardware

Pradeep C* , Radhakrishnan R**

* Research Scholar, Anna University, Tamilnadu. ** Professor, SSIET, Tamilnadu.

Pradeep.C., and Radhakrishnan.R. (2014).Fault Detection Methods for Interconnects in Reconfigurable Hardware. i-manager’s Journal on Embedded Systems, 2(4), 12-19. https://doi.org/10.26634/jes.2.4.2803

Abstract

References

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Pdf

Influencing Parameters Of Image Display Acceleration

N. Harathi* , V. Meenakshi**, C.H. Suneetha***

*-** Assistant Professor, Department of EIE, Sree Vidyanikethan Engineering College Tirupati. *** Associate Professor, Department of ECE, Vignana Bharathi Institute of Technology, Aushapur.

Harathi.N., Meenakshi.V., and Suneetha.CH. (2014).Influencing Parameters Of Image Display Acceleration. i-manager’s Journal on Embedded Systems, 2(4), 20-30. https://doi.org/10.26634/jes.2.4.2804

Abstract

References

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An Empirical Study on Privacy-Preserving Models

M.Giri* , S. Madhumitha**

* Professor and Head, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India. ** M.Tech Scholar, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

Giri.M., and Madhumitha.S. (2014). An Empirical Study On Privacy-Preserving Models. i-manager’s Journal on Embedded Systems, 2(4), 31-36. https://doi.org/10.26634/jes.2.4.2805

Abstract

References

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Design of New Multilevel Inverter Topology for Various Unipolar Inverted Sine Carrier PWM Strategies

C. R. Balamurugan* , S. P. Natarajan**, M. Arumugam***, R. Bensraj****

*,*** Department of EEE, Arunai Engineering College, Tiruvannamalai, Tamilnadu, India. **,****Annamalai University, Chidambaram, Tamilnadu, India

Balamurugan.C.R., Natarajan.S.P., Arumugam.M., and Bensraj.R. (2014). Design Of New Multilevel Inverter Topology For Various Unipolar Inverted Sine Carrier PWM Strategies. i-manager’s Journal on Embedded Systems, 2(4), 37-43. https://doi.org/10.26634/jes.2.4.2806

Abstract

References

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* Research Scholar, Anna University, Tamilnadu.

** Professor, SSIET, Tamilnadu.

N. Harathi* , V. Meenakshi, C.H. Suneetha*

- Assistant Professor, Department of EIE, Sree Vidyanikethan Engineering College Tirupati.

Associate Professor, Department of ECE, Vignana Bharathi Institute of Technology, Aushapur.

* Professor and Head, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

** M.Tech Scholar, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

C. R. Balamurugan* , S. P. Natarajan, M. Arumugam*, R. Bensraj****

, Department of EEE, Arunai Engineering College, Tiruvannamalai, Tamilnadu, India.

,****Annamalai University, Chidambaram, Tamilnadu, India