i-manager Publications

i-manager's Journal on Instrumentation and Control Engineering (JIC)

Current Issue Vol. 12 Issue 1

Most Cited

Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models

Volume 2 Issue 1 November - January 2014

Research Paper

Fault Detection and Diagnosis of Induction Machine with On-Line Parameter Programming Facility

Sheikh Rafik Manihar Ahmed*

Associate Design Engineer, Control System, Fluor Daniel India Private Limited, Gurgaon, New Delhi, India.

Ahmed, S.R.M. (2014). Fault Detection and Diagnosis of Induction Machine with On-Line Parameter Programming Facility. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 1-8. https://doi.org/10.26634/jic.2.1.2787

Abstract

All instrumentation systems pertaining to industrial process controls as well as domestic application involves automatic fault finding facility. This facility detects the faulty condition of the system and draws the operator's attention towards it and enables to take suitable remedial actions to ensure proper operations of the system. The main purpose of all FDI methods is to monitor the system operations and in case of faults, accommodate the source of faults, so that timely corrective actions are taken. Fault Detection simply involves a decision, based on the monitoring data as to whether there is a fault or the system is running normally. Fault Isolation is then executed to identify the type and location of a fault after the fault detection has triggered an alarm so that corrective actions can be made. These two steps are known as Fault Detection and Isolation (FDI). Fault diagnosis is referred to as the combination of fault detection, identification and isolation. It is one such method of Annunciation in which the activation of visual or mechanical variable takes place when a removed switch or device has been activated as a result of fault in certain systems and an audio alarm may also be associated with annunciations. This FDI system is defined and the existing technique is to detect & isolate the fault with online parameter programming facility. The main advantage of the proposed approach of Control System based fault detection and isolation is its low cost. Low cost in terms of components used makes affordable in terms of easy handling and maintenance and various sensors can be used to give different types of input signals to circuit. An additional advantage is that the real time system still works when the host crashes, the matter that increases the reliability of the system & Data-logging facility can also be provided. A data-logger captures any measurement values which can be represented by a voltage. Nowadays, sensors and transducers are available for, practically, any physical quantity. The function of data-logger is to capture and store a specified number of sensor measurement values at predefined intervals and transfer the data, including date and time to a PC in the form of file.

References

[1]. Moseler O. et al, (2000). “Application of Model-based Fault Detection to a Brushless DC Motor” through IEEE Transactions on Industrial Electronics.

[2]. Xiang-Qun Liu et al, (200). “Fault Detection and Diagnosis of Permanent-Magnet DC Motor based on Parameter Estimation and Neural Network” through IEEE Transactions on Industrial Electronics.

[3]. T.W.S. Chow et al, (2000). “HOS-based Non-parametric and Parametric Methodologies for Machine Fault Detection” through IEEE Transactions on Industrial Electronics.

[4]. David A. Rennels et al “A Fault-Tolerant Embedded Micro- controller Test bed” in University of California

[5]. G. Heredia et al “Actuator Fault Detection in th Autonomous Helicopters” in 5th IFAC Symposium on Intelligent Autonomous Vehicle, Lisbon, Portugal.

[6]. M.L. Sin et al “A Survey on Induction Machine On-Line Condition Monitoring and Fault Diagnosis” in University of Adelaide.

[7]. Michal Young et al “Rethinking the Taxonomy of Fault Detection Techniques” in University of California.

[8]. Guo Qing et al, (2007). “Design and Implementation of Testing Network for Power Line Fault Detection Based on nRF905” through IEEE International Conference on Electronic Measurements and Instruments.

[9]. Rodrigo A. Carrasco et al, (2007). “Layered Architecture for Fault Detection and Isolation in Cooperative Mobile Robots” through European Control Conference.

[10]. Sirish L. Shah et al, (2005). “Fault detection and isolation in the presence of process uncertainties” through Control Engineering Practice.

[11]. Dev Anand M. et al, (2008). “Fault Detection and Isolation in Robotic Manipulator via Hybrid Neural Networks” in National Institute of Technology, Tiruchirappalli .

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Research Paper

Artificial Intelligent Control Of Induction MotorDrives

Prashant Menghal* , A. Jaya Laxmi**

* Faculty of Degree Engineering, Military College of Electronics & Mechanical, Engineering, Secunderabad, Research Scholar, EEE Department, JNTU, Anantapur, Andhra Pradesh, India.

** Professor, Department of EEE & Coordinator Centre for Energy Studies, Jawaharlal Nehru Technological University, College of Engineering, Kukatpally, Hyderabad, Andhra Pradesh, India.

Menghal, P.M., and Laxmi, A.J. (2014). Artificial Intelligent Control of Induction Motor Drives. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 9-22. https://doi.org/10.26634/jic.2.1.2788

Abstract

Induction Motors have many applications in the industries, because of the low maintenance and robustness. The speed control of induction motor is more important to achieve maximum torque and efficiency. The rapid development of power electronic devices and converter technologies in the past few decades, has made possible efficient speed control by varying the supply frequency and voltage, giving rise to various forms of adjustable-speed Induction Motor drives. In about the same period, there were also advances in control methods and Artificial Intelligence (AI) techniques, including expert system, fuzzy logic, neural networks and genetic algorithm. Researchers soon realized that the performance of induction motor drives can be enhanced by adopting Artificial Intelligent based methods. This paper presents an integrated environment for speed control of Induction Motor (IM) using artificial intelligent controller. The integrated environment allows users to compare simulation results between classical and artificial intelligent controllers. The fuzzy logic controller and artificial neural network controllers are also introduced to the system for keeping the motor speed to be constant when the load varies. The performance of fuzzy logic and artificial neural network based controllers is compared with that of the conventional proportional integral controller. The performance of the Induction motor drive has been analyzed for constant and variable loads.

References

[1] K. L. Shi, T. F. Chan, Y. K. Wong and S. L. HO, (1999). "Modeling and simulation of the three phase induction motor Using SIMULINK," Int.J. Elect. Engg. Educ., Vol. 36, pp. 163–172.

[2] Tze Fun Chan and Keli Shi, (2011). "Applied intelligent control of induction motor drives," IEEE Willey Press, First edition.

[3] P.C. Krause, (2000). "Analysis of Electrical Machinery and Drives System," IEEE Willey Press.

[4]. Ned Mohan, (2001). "Advanced Electric Drives: Analysis, Control Modeling using Simulink", MNPERE Publication.

[5]. P.M. Menghal, A Jaya Laxmi, (2014). “Dynamic Simulation of Induction Motor Drive Using Neuro Controller” International Journal on Recent Trends in Engineering & Technology, Vol. 10, No.1, pp 44- 58.

[6]. P. Menghal, A Jaya Laxmi, (2014). “Neural Network Based Dynamic Performance of Induction Motor” Springer Proceeding Advances in Intelligent Systems and Computing (AISC), Vol.259, pp.539-552.

[7]. P M Menghal, A Jaya laxmi (2013). “Application of Artificial Intelligence Controller for Dynamic Simulation of Induction Motor Drives” Asian Power Electronics Journal, Vol. 7, No. 1, pp 23-29.

[8]. P M Menghal, A Jaya Laxmi, N Mukhesh (2014). “Dynamic Simulation of Induction Motor Drive Using Artificial Intelligent Controller” IEEE International Conference on Control, Instrumentation, Energy & Communication (CIEC14), 28-31, pp 356-360.

[9]. P M .Menghal, A Jaya Laxmi, (2013). "Adaptive Neuro Fuzzy Based Dynamic Simulation of Induction Motor Drives," IEEE International Conference Fuzzy Systems, 7-10 , pp 1-8.

[10]. P M .Menghal, A Jaya Laxmi, (2013). " Neural Network Based Dynamic Simulation of Induction Motor Drive," IEEE International Conference on Power, Energy and Control (ICPEC-13), pp 566-571.

[11]. P M .Menghal, A Jaya Laxmi, (2012). "Adaptive Neuro Fuzzy Interference (ANFIS) based simulation of Induction motor drive," International Review on Modeling and Simulation (IRMOS), Vol. 5, No. 5, pp. 2007-2016.

[12]. P M .Menghal, A Jaya Laxmi, (2012). "Artificial intelligence based induction motor drive," Michael Faraday IET India Summit, Kolkata, India, pp. 208-212.

[13]. P M .Menghal, A Jaya Laxmi (2012). “Artificial Intelligence Based Dynamic Simulation of Induction Motor Drives” IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), ISSN: 2278-1676, Vol. 3, Issue 5, pp 37-45.

[14]. M. Nasir Uddin and Muhammad Hafeez, (2012). “FLC-Based DTC Scheme to Improve the Dynamic Performance of an IM Drive,” IEEE Trans.on Industry Applications, Vol. 48, No. 2, pp. 823-831.

[15]. M. Nasir Uddin and Muhammad Hafeez., (2012). “FLC-Based DTC Scheme to Improve the Dynamic Performance of an IM Drive,” IEEE Trans. on Industry Applications, Vol -48, No 2, 823-831.

[16]. M. Nasir Uddin, Hao Wen, (2007). “Development of a Self-Tuned Neuro- Fuzzy Controller for Induction Motor Drives,” IEEE Trans on Industry Application. Vol. 43, No. 4, pp. 1108-1116.

[17]. M Nasir Uddin, Tawfik S. Radwan and Azizur Rahman, (2002). “Performance of Fuzzy logic based indirect vector control for induction motor drive,” IEEE Trans on Industry application, Vol. 38, No.5, pp. 1219-1225.

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Research Paper

Fractional Order PI Controller Technique for a Nonlinear Spherical Tank System

D Marshiana* , Thiru Sakthi Murugan P**

* Research Scholar, Department of Electronics and Instrumentation Engineering, Sathyabama University, Chennai, Tamilnadu, India.

** Associate Professor, Department of Electronics and Instrumentation Engineering, Pondicherry Engineering College, Pondicherry, India.

Marshiana, D., and Thirusakthimurugan, P., (2014). Fractional Order PI Controller Technique for a Nonlinear Spherical Tank System. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 23-28. https://doi.org/10.26634/jic.2.1.2789

Abstract

Fractional Order PI Controller Technique (FOPIC) offers success due to emerging of effective methods in differentiation and integration of the no integer order equation. In this research, the controller design using FOPIC is determined for a nonlinear system. The nonlinear system is taken up for the study is a spherical tank which is approximated to a first order system. Simulation is made by the MATLAB software.

References

[1]. V.R.Ravi, T.Thyagarajan, (2011). "Application of adaptive control technique to interacting Non Linear Systems", IEEE pp. 386-392.

[2]. S. Nithya, Abhay Singh Gour, N. Sivakumaran T.K. Radhakrishnan, T. Balasubramanian, Anantharaman, (2008). "Design of Intelligent controllers for Nonlinear processes", AJAPS, pp. 33-45.

[3]. Anandanatarajan. R, "Design of controller using variable transformations for a nonlinear process with deadtime", ISA. trans., pp.81-91.

[4]. S. Nithya, N. Sivakumaran, T.K. Radhakrishnan, N. Anantharaman, (2010). "Soft Computing based controllers implementation for non-linear process in real time", WCECS, Vol. 2.

[5]. Deepyaman Maiti , Sagnik Biswas, Amit Konar, "Design of a fractional order PID controller using particle swarm optimization technique", ReTIS-08.

[6]. Subhransu Padhee, Abhinav Gautam, Yaduvir Singh, Gagandeep Kaur (2011). "A Novel Evolutionary tuning method for fractional order PID controller", IJSCE, Vol 1, pp. 2231-2307.

[7]. C.Priya, P.Lakshmi, (2011). " Fractional Order controller design and particle swarm optimization applied to a nonlinear system", ICTTIT, pp 959-964.

[8]. S. Nithya, K. Vijayarekha N. Sivakumaran, T. Balasubramanian, N. Anantharaman, (2008). "Controllers implementation based on soft computing for Nonlinear process," IEEE, pp 126-131.

[9]. Deepyaman Maiti,Ayan Achar ya, Mithun Chakraborty. Amit Konar and Ramdoss Janarthanan, (2008). "Tuning PID and PI ? D? controllers using the Integral time absolute error criterion", IEEE.

[10]. Chunna Zhao , Dingyu Xue and Yang Quan chen, (2005). "A fractional order PID tuning algorithm for class A of fractional order plants" International conference on Mechatronics and automation, Canada, pp 216-221.

[11]. Mohammad Reza Faieghi and Abbas Nemati. "On Fractional–Order PID Design". Islamic Azad University, Iran.

[12]. Bijoy K. Mukherjee and Santanu Metia, (2009). "Fractional order Modeling and GA BasedbTuning for Analog Realization with Lossy Capacitors of a PID Controller", IMECS, Hong Kong .

[13]. Arijit Biswas, Swagatam Das, Ajith Abraham, Sambarta Dasgupta, (2009). " Design of Fractional-order PI ? D? Controllers with an improved differential evolution". Engineering Applications of Artificial Intelligence, Vol.22, pp.343–350.

[14]. Igor, P. (1999). "Fractional–order systems and PI? D? Controllers" . IEEE Trans. Automatic control. 44(1), 208-214.

[15]. K.Vaithiyanathan, P.K.Bhaba. (2011). "Design and Real Time Implementation of Fractional Order Proportional- Integral Controllers (PI ? ) in a liquid level System". Published by Canadian Center of Science and Education, Vol. 5, No. 6, pp. 188-198.

[16]. Jun-Yi Cao and Bing-Gang Cao (2006). "Design of Fractional Urder Controller Based on Particle Swarm Optimization". International Journal of Control, Automation, and Systems, Vol. 4, No. 6, pp. 775-781.

[17]. Y.Luo, Y.Q,Chen, C.Y.Wang, Y.G.Pi. (2010). "Tuning Fractional Order Proportional Integral Controllers for Fractional Order Systems". Journal of Process Control, Vol 20, pp. 823-831.

[18]. Y.Q.Chen, I.Petras and D.Xue. (2009). “Fractional Order Control”- A Tutorial, Proceedings of American control Conference, pp. 1397-1411.

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Research Paper

A Novel Open End Slot Antenna for Ultra Wide Band Application

Sasikala M* , Duraisamy M**

* PG Scholar, Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Chennai.

** Assistant Professor, Sri Venkateswara College of Engineering, Chennai.

Sasikala, M., and Duraisamy, M. (2014). A Novel Open End Slot Antenna for Ultra Wide Band Application. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 29-32. https://doi.org/10.26634/jic.2.1.2790

Abstract

A novel open end slot antenna for UWB application is proposed in this paper. It occupies a compact size of 2 23.5×23.5mm² . Multiple resonances are generated by using an asymmetrical rectangular patch with the L-shaped open-slot structure. The proposed antenna provides wide bandwidth from 3.1 GHz to 11.02.6 GHz with -10 dB return loss.

References

[1]. WeiXing Liu,YinZeng Yin,WenLong Xu, and ShaoLi Zuo, (2011). “Compact Open-Slot antenna with bandwidth enhancement”.IEEE Antennas and Wireless Propagation, Vol. 10, pp. 850–853.

[2]. K.Song, Y.-Z.Yin,S.T.Fan, and B.Chen, (2011). ”Compact open-ended L-shaped slot antenna with asymmetrical rectangular patch for UWB applications'', Progress in Electro Magnetic Research C, Vol. 19, pp.235-243.

[3]. Behdad and K. Sarabandi, (2005). “A wide-band slot antenna design employing a fictitious short circuit concept,” IEEE Trans. Antennas Propagation, Vol. 53, No. 1, pp. 475–482,

[4]. J.-Y. Jan and J.- W. Su, (2005). “Bandwidth enhancement of a printed wide-slot antenna with a rotated slot,” IEEE Trans. Antennas Propagation ,Vol. 53, No. 6, pp. 2111–2114.

[5]. S. I. Latif, L. Shafai, and S. K. Sharma, (2005). “Bandwidth enhancement and size reduction of microstrip slot antennas,” IEEE Trans. Antennas Propagation, Vol. 53, No. 3, pp. 994–1003.

[6]. Z.-A. Zheng, Q.-X. Chu, and Z.-H. Tu, “Compact bandrejected ultrawideband slot antennas inserting with and resonators,” IEEE Trans. Antennas Propagation, Vol. 59, No. 2, pp. 390–397.

[7]. W. Chen,G.-M. Wang, and C.-X. Zhang, (2009). “Bandwidth enhancement of a microstrip-line-fed printed wide-slot antenna with a fractal-shaped slot,” IEEE Trans. Antennas Propagation, Vol. 57, No. 7, pp. 2176–2179.

[8]. J. R. Verbiest and G. A. E. Vandenbosch, (2006). “Lowcost small-size tapered slot antenna for lower band UWB applications,” Electron. Lett., Vol.42, pp. 670–671.

[9]. W. S. Chen and K. Y. Ku, (2008). “Bandwidth enhancement of open slot antenna for UWB applications,” Microw. Opt. Technol. Lett., Vol. 50, No.2, pp. 438–439.

[10]. M. Gopikrishna, D. D. Krishna, C. K. Aanandan, P. Mohanan, and K.Vasudevan, (2008). “Compact linear tapered slot antenna for UWB applications,”Electron. Lett., Vol. 44, No. 20, pp. 1174–1175.

[11]. M. Gopikrishna, D. D. Krishna, C. K. Aanandan, P. Mohanannd, and K. Vasudevan, (2009). “Design of a microstip fed step slot antenna for UWB communication,” Microw. Opt. Technol. Lett., Vol. 51, pp. 1126–1129.

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Review Paper

A Review on SVD Based Watermarking Schemes

samiksha soni* , Manisha Sharma**

*-** Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Soni, S., and Sharma, M. (2014). A Review on SVD Based Watermarking Schemes. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 33-37. https://doi.org/10.26634/jic.2.1.2791

Abstract

SVD transformation has gained a wide popularity in the field of digital watermarking due to its characteristics. In this paper, the detailed analysis of SVD based watermarking algorithms are presented. The authors discuss in detail about the unique features of SVD transformation and working principles of the typical SVD based image watermarking algorithms that also elaborate the advantages and disadvantages of each.

References

[1]. C.I.Podilchuk and E.J.Delp, (2001). “Digital Watermarking: Algorithms and Applications,” IEEE Signal Processing Magazine, pp.33-46.

2]. I.J.Cox, J.Kilian, T.Leighton and T.Shamoon, (1997). “Secure Spread Spectrum Watermarking for Multimedia,” IEEE Transactions on Image Processing, 6(12), 1673-1687.

[3]. Barni, F. Bartolini and A. Piva, (1998). “A DCT domain system for robust image watermarking”, IEEE Transactions on Signal Processing, Vol.66, pp.357-372.

[4]. M.Barni, M., Bartolini, F., V., Piva, A., (2001). “Improved wavelet based watermarking through pixel-wise masking,” IEEE Transaction Image Processing, 10, 783-791.

[5]. V. I. Gorodetski, L. J. Popyack, and V. Samoilov, (2001). “SVD-based approach to transparent embedding data into digital images,” in Proceedings of International Workshop, MMM-ACNS, St. Petersburg, Russia, pp. 263–274.

[6]. R.Liu, T.Tan, (2002). “An SVD-based watermarking scheme for protecting rightful ownership”, IEEE Transaction Multimedia, Vol.4, No.1, pp. 121-128.

[7]. Zude Zhou, Bing Tang and Xinhua Liu, (2006). “A Block- SVD Based Image Watermarking Method”, Proceedings of the 6th World Congress on Intelligent Control and Automation, 10347 – 10351

[8]. A. Sverdlov, S. Dexter, and A.M. Eskicioglu, (2005). ''Robust DCT-SVD Domain Image Watermarking for Copyright Protection: Embedding Data in all Frequencies,'' th Proceedings of 13 European Signal Processing Conference (Eusipco), http://www.theparticle.com/ documents/EUSIPCO_2005-WM.pdf.

[9]. Sun, R., Sun, H., Yao, T., (2002). “A SVD and quantization based semi-fragile watermarking technique for image authentication”, Proceedings of IEEE International Conference on Signal Processing, pp. 1592-95

[10]. C.C. Chang, P. Tsai, C.C. Lin, (2005). “SVD-based digital image watermarking scheme”, Pattern Recognition Letters, Vol. 26, pp.1577–1586.

[11]. Feng Liu, Ke Han, Chang Zheng Wang, (2009). A novel blind watermark algorithmvbased on SVD and DCT, in: Proceeding of IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), Shanghai, pp. 283– 286.

i-manager's Journal on Instrumentation and Control Engineering (JIC)

Current Issue Vol. 12 Issue 1

Most Read

Most Cited

Volume 2 Issue 1 November - January 2014

Fault Detection and Diagnosis of Induction Machine with On-Line Parameter Programming Facility

Sheikh Rafik Manihar Ahmed*

Associate Design Engineer, Control System, Fluor Daniel India Private Limited, Gurgaon, New Delhi, India.

Ahmed, S.R.M. (2014). Fault Detection and Diagnosis of Induction Machine with On-Line Parameter Programming Facility. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 1-8. https://doi.org/10.26634/jic.2.1.2787

Abstract

References

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Artificial Intelligent Control Of Induction MotorDrives

Prashant Menghal* , A. Jaya Laxmi**

Menghal, P.M., and Laxmi, A.J. (2014). Artificial Intelligent Control of Induction Motor Drives. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 9-22. https://doi.org/10.26634/jic.2.1.2788

Abstract

References

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Fractional Order PI Controller Technique for a Nonlinear Spherical Tank System

D Marshiana* , Thiru Sakthi Murugan P**

* Research Scholar, Department of Electronics and Instrumentation Engineering, Sathyabama University, Chennai, Tamilnadu, India. ** Associate Professor, Department of Electronics and Instrumentation Engineering, Pondicherry Engineering College, Pondicherry, India.

Marshiana, D., and Thirusakthimurugan, P., (2014). Fractional Order PI Controller Technique for a Nonlinear Spherical Tank System. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 23-28. https://doi.org/10.26634/jic.2.1.2789

Abstract

References

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A Novel Open End Slot Antenna for Ultra Wide Band Application

Sasikala M* , Duraisamy M**

* PG Scholar, Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Chennai. ** Assistant Professor, Sri Venkateswara College of Engineering, Chennai.

Sasikala, M., and Duraisamy, M. (2014). A Novel Open End Slot Antenna for Ultra Wide Band Application. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 29-32. https://doi.org/10.26634/jic.2.1.2790

Abstract

References

Full Article (HTML)

Pdf

A Review on SVD Based Watermarking Schemes

samiksha soni* , Manisha Sharma**

*-** Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Soni, S., and Sharma, M. (2014). A Review on SVD Based Watermarking Schemes. i-manager’s Journal on Instrumentation and Control Engineering, 2(1), 33-37. https://doi.org/10.26634/jic.2.1.2791

Abstract

References

Full Article (HTML)

Pdf

* Research Scholar, Department of Electronics and Instrumentation Engineering, Sathyabama University, Chennai, Tamilnadu, India.

** Associate Professor, Department of Electronics and Instrumentation Engineering, Pondicherry Engineering College, Pondicherry, India.

* PG Scholar, Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Chennai.

** Assistant Professor, Sri Venkateswara College of Engineering, Chennai.