i-manager Publications

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

Current Issue Vol. 11 Issue 2

Neural Network-Based Monitoring of Critical Parameters in Drinking Water for Enhanced Quality Assurance
Monitoring and Improvement of PV Panel Efficiency Due to Thermal Effect
Model Predictive Control of a Serial Link Robot Manipulator
Direct Torque Control (DTC) and Three Phase Induction Motor Simulation in MATLAB/Simulink
IoT-Enabled Smart Water Tank Monitoring System with Android Application Control

Most Cited

Volume 6 Issue 1 November - January 2018

Research Paper

Analysis of Power Quality Enhancement using Custom Power Devices

R. Shilpa * , P. S. Puttaswamy**

* Research Scholar, Department of Electrical and Electronics Engineering, PES College of Engineering, Mandya, India.

** Professor and Head, Department of Electrical and Electronics Engineering, PES College of Engineering, Mandya, India.

Shilpa, R., and Puttaswamy, P.S. (2018). Analysis of Power Quality Enhancement using Custom Power Devices. i-manager’s Journal on Instrumentation and Control Engineering, 6(1), 1-10. https://doi.org/10.26634/jic.6.1.13931

Abstract

Discrepancies with generation and transmission infrastructure have led to severe and increasing strain in recent years in power system. A few of the important factors, include issue concerning environment, variations in the energy portfolio and deregulated energy markets. The concern for voltage instability has increased because of the stress that has been developed in the system. Amid the most recent twenty years there has been one or more expansive voltage collapse every year, the reason being more number of interconnections, maximum utilization, and load characteristics. Two instances are an extensive utilization of air conditioners and electrical heating appliances. The definite capacity limits of generation and transmission units should not be surpassed in a healthy power system. When the system is loaded heavily, Voltage stability issue occurs. The Voltage instability state occurs in a power system mainly because of increase in load demand power which in turn causes disturbances. The work done in the investigation of the power quality problems at the distribution end is very much less compared to the transmission side. The electrical disturbance leads to network failure which affects the power distribution system. In this system where consumers are the end users, face various power relevant issues like voltage fluctuations, short circuits, overheating of electronic gadgets, etc. Thus the complete reliability of the system is dependent solely on the power quality supplied. The objective of the proposed work is to meet the consumer demand by using custom power devices like Distribution Static Compensator (DSTATCOM) and Dynamic Voltage Restorer (DVR) which helps in enhancing the quality of power so as to increase the reliability of the system.

References

[1]. Ali, S. M., Prusty, B. K., & Dash, M. K. (2012). Role of FACTS devices in improving power quality in a grid connected renewable energy system. In Journal of Engineering Research and Studies, 3(3), 33-35.

[2]. Aziz, M., Kumar, V., Chauhan, A., & Thakur, B. (2013). Power quality improvement by suppression of current harmonics using Hysteresis Controller. In International Journal of Recent Technology and Engineering (IJRTE), 2(2),186-191.

[3]. Banaei, M. R., & Salary, E. (2014). Mitigation of voltage sag, swell and power factor correction using solid-state transformer based matrix converter in output stage. Alexandria Engineering Journal, 53(3), 563-572.

[4]. Chaudhary, D., Rana, A., Singh, D., & Bhardwaj, V. (2014). A comparative study of DSTATCOM and DVR for Power Quality Improvement. In International Journal of Emerging Technology and Advanced Engineering, 4(1), 489-496.

[5]. De Almeida, A., Moreira, L., & Delgado, J. (2003, April). Power quality problems and new solutions. In International Conference on Renewable Energies and Power Quality, 1(1), 25-33.

[6]. Georgilakis, P. S., & Vernados, P. G. (2011). Flexible AC transmission system controllers: An evaluation. In Materials Science Forum (Vol. 670, pp. 399-406). Trans Tech Publications.

[7]. Hazarika, S., Roy, S. S., Baishya, R., & Dey, S. (2013). Application of dynamic voltage restorer in electrical distribution system for voltage sag compensation. Int. J. Eng. Sci., 2(7), 30-8.

[8]. Krishna, A. R., & Reddy, C. K. R. K. (2013). Power Qualiy Problems and it is improvement using FACTS devices. International Journal of Engineering Trends and Technology (IJETI), 4(5), 1462-1466.

[9]. Kumar, P. R. K., Anjaneyulu, K. S. R., & Krishna, T. M. (2008, December). A New Technique for Improving the Power Quality in Power Transformers by FPGA. In Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on (pp. 767-772). IEEE.

[10]. Kumar, S. R., & Nagaraju, S. S. (2007). Power quality improvement using D-STATCOM and DVR. International Journal of Electrical and Power Engineering, 1(3), 368-376.

[11]. Petit, J. F., Amarís, H., & Robles, G. (2005, August). Control schemes for shunt active filters to mitigate th harmonics injected by inverted-fed motors. In Proc. 15 Power Systems Computation Conference-PSCC'05 (pp. 1-7).

[12]. Russell, M. J. (2000, October). The impact of mains impedance on power quality. In Power Quality 2000 (Boston, MA).

[13]. Sharanya, M., Basavaraja, B., & Sasikala, M. (2012). An overview of Dynamic Voltage Restorer for voltage profile improvement. International Journal of Engineering and Advanced Technology (IJEAT), 2(2), 26-29.

[14]. Solanki, J., Frohleke, N., Bocker, J., & Wallmeier, P. (2013). Comparison of thyristor-rectifier with hybrid filter and chopper-rectifier for high-power, high-current application. In Proc. PCIM Europe. (pp. 1391-1398).

[15]. Tejwani, V. S., Kapadiya, H. B., Pandya, A. S., & Bhati, J.B. (2013). Power quality improvement in power distribution system using D-STATCOM. In Engineering (NUiCONE), 2013 Nirma University International Conference on (pp. 1-6). IEEE.

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Research Paper

Fault Tolerant Control Systems: A Passive Approaches for Single Tank Level Control System

Himanshukumar R. Patel* , Vipul A. Shah**

* Assistant Professor, Department of Instrumentation and Control Engineering, Dharmsinh Desai University, Nadiad, India.

** Professor, Department of Instrumentation and Control Engineering, Dharmsinh Desai University, Nadiad, India.

Patel, H.R., Shah, V.A. (2018). Fault Tolerant Control Systems: A Passive Approaches for Single Tank Level Control System. i-manager’s Journal on Instrumentation and Control Engineering, 6(1), 11-18. https://doi.org/10.26634/jic.6.1.13934

Abstract

The paper construes Passive Fault-Tolerant Control Systems (PFTCSs) by examining the approaches from both philosophical and practical points of view. The objective of PFTCS approach is to maintain the desired performance and system stability with the system, actuator faults, and process disturbances. In this paper passive model-based fault tolerant control system in case of a system, actuator faults, and process disturbances are designed for single-tank system and are simulated with the linear model using Matlab. The faults are in single-tank system faults that are modeled as a leak in tank and actuator faults that are modeled as a fall in actuators (control valve) opening, which could lead to a large loss in the nominal performance. The model-based passive fault tolerant control system is designed using a combination of Neural Network (NN) and PI controller to detect faults in the system and maintain the performance and stability. Simulation results are shown and compared between fault tolerant control system and non-fault-tolerant control system with faults and process disturbances. The simulation results are shown in terms of MSE, hence there is a promising performance increase due to the designed controller strategy.

References

[1]. Alwi, H., Edwards, C., & Tan, C. P. (2009). Sliding mode estimation schemes for incipient sensor faults. Automatica, 45(7), 1679-1685.

[2]. Blanke, M., Izadi-Zamanabadi, R., Bøgh, S. A., & Lunau, C. P. (1997). Fault-tolerant control systems - A holistic view. Control Engineering Practice, 5(5), 693-702.

[3]. Buciakowski, M., de Rozprza-Faygel, M., Ocha?ek, J., & Witczak, M. (2014). Actuator fault diagnosis and faulttolerant control: Application to the quadruple-tank process. In Journal of Physics: Conference Series (Vol. 570, No. 8, p. 082002). IOP Publishing.

[4]. Cheng, Y., Jiang, B., Fu, Y., & Gao, Z. (2011). Robust observer based reliable control for satellite attitude control systems with sensor faults. International Journal of Innovative Computing, Information and Control, 7(7), 4149-4160.

[5]. Gertler. J. (1998a). Fault Detection and Diagnosis in Engineering Systems. New York, NY: Marcel Dekker Inc.

[6]. Gertler, J. J. (1988b). Survey of model-based failure detection and isolation in complex plants. IEEE Control Systems Magazine, 8(6), 3-11.

[7]. Isermann, R. (2005). Model-based fault-detection and diagnosis–status and applications. Annual Reviews in Control, 29(1), 71-85.

[8]. Jiang, J. (2005). Fault-tolerant control systems-an introductory overview. Acta Automatica Sinica, 31(1), 161- 174.

[9]. Ma, J., & Jiang, J. (2011). Applications of fault detection and diagnosis methods in nuclear power plants: A review. Progress in Nuclear Energy, 53(3), 255-266.

[10]. Manikandan, P., & Geetha, M. (2014). Takagi Sugeno fuzzy expert model based soft fault diagnosis for two tank interacting system. Archives of Control Sciences, 24(3), 271-287.

[11]. Merheb, A. R., Noura, H., & Bateman, F. (2013, October). Passive fault tolerant control of quadrotor uav using regular and cascaded sliding mode control. In Control and Fault-Tolerant Systems (SysTol), 2013 Conference on (pp. 330-335). IEEE.

[12]. Merheb, A. R., Noura. H., & Bateman, F. (2015). Design of passive fault–tolerant controllers of a quadrotor based on sliding mode theory. International Journal of Applied Mathematics and Computer Science, 25(3), 561-576.

[13]. Parikh, N., Rathore, S., Misra, R., & Markana, A. (2017, January). A comparison between NMPC and LQG for the level control of three tank interacting system. In Control Conference (ICC), 2017 Indian (pp. 200-205). IEEE.

[14]. Patton, R. J. (1997). Fault-tolerant control: The 1997 situation. IFAC Proceedings Volumes, (Vol. 30, No. 18, pp. 1029-1051).

[15]. Shi, Y. T., Kou, Q., Sun, D. H., Li, Z. X., Qiao, S. J., & Hou, Y. J. (2014). H fault tolerant control of WECS based on the ∞ PWA model. Energies, 7(3), 1750-1769.

[16]. Tohidi, H., Erenturk, K., & Shoja-Majidabad, S. (2017). Passive fault tolerant control of induction motors using nonlinear block control. Control Eng. Appl. Inform., 19(1), 49-58.

[17]. Varma, S., & Kumar, K. D. (2010). Fault tolerant satellite attitude control using solar radiation pressure based on nonlinear adaptive sliding mode. Acta Astronautica, 66(3- 4), 486-500.

[18]. Yang, G. H., & Ye, D. (2010). Reliable H Control of ∞ Linear Systems with Adaptive Mechanism. IEEE Transactions on Automatic Control, 55(1), 242-247.

[19]. Ye, L., Wang, S., Bing, F., Malik, O. P., & Zeng, Y. (2001). Control/maintenance strategy fault tolerant mode and reliability analysis for hydro power stations. IEEE Transactions on Power Systems, 16(3), 340-345.

[20]. Zhang, Y., & Jiang, J. (2008). Bibliographical review on reconfigurable fault-tolerant control systems. Annual Reviews in Control, 32(2), 229-252.

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Research Paper

Overview of Existing Engine System for Rail Application

Namrata Vijay Narwade* , Rajani P.K, Bhairavi Patil*

* PG Scholar, Department of Electronics and Communication Engineering, Pimpri Chinchwad College of Engineering, Pune, India.

Assistant Professor, Department of Electronics and Communication Engineering, Pimpri Chinchwad College of Engineering, Pune, India.

* Group Leader, VPI, Cummins India Ltd, Pune, India.

Narwade, N.V., Rajani, P. K., Patil, B. (2018). Overview of Existing Engine System for Rail Application. i-manager’s Journal on Instrumentation and Control Engineering, 6(1), 19-24. https://doi.org/10.26634/jic.6.1.13935

Abstract

The engine is the heart of any hardware which may relate to various applications like Vehicles, Railway, etc. The rail application is the application where the engine will work as a main unit of the system. Cummins India Limited is the company which provides the diesel engine to various applications. The diesel engine to rail application is one of the new trends in Cummins. The modification to the railway engine and their system may give better facility to the engine. The engine is of a various type depending on their fuel consumption. The engine is classified into two types depending on which fuel is used for the engine, they are gasoline and diesel engine. The engine is further classified into two types depending on the combustion taking place in the engine, they are internal and external combustion engine. In the rail application, the diesel engine is selected because it has some advantages over the gasoline engine, where the diesel engine falls under the internal combustion type of engine. The rail application with the diesel engine further provided with the engine safety parameters will give the better rail application system. The existing system for the railway has some drawbacks which are explained in this paper and what provision necessary to be taken to provide the best system for the rail application is explained here. The existing system for the rail application consists of the display panel, the drawbacks of the existing panel, and need for the new digital display panel is also explain here.

References

[1]. Bingamil, A., Alsyouf, I., & Cheaitou, A. (2017). Condition monitoring technologies, parameters and data processing techniques for fault detection of internal combustion engines: A literature review. International Conference on Electrical and Computing Technologies and Applications (ICECTA) (pp. 1-5).

[2]. Bretterklieber, T., Neumayer, M., & Flatscher, M. (2016, May). Sensing oil layers in manifolds of small size two stroke engines. In Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International (pp. 1-6). IEEE.

[3]. Dovgyallo, A. I., Kudinov, V. A., & Shestakova, D. A. (2017, May). Working cycle analysis of the internal combustion engine with heat regeneration. In Mechanical, System and Control Engineering (ICMSC), 2017 International Conference on (pp. 36-39). IEEE.

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[6]. Jo, O., Kim, Y. K., & Kim, J. (2017). Internet of Things for Smart Railway: Feasibility and Applications. IEEE Internet of Things Journal, 1(1).

[7]. Kothare, C. B., Kongre, S., & Bhope, D. V. (2016, March). Experimental investigation of effect of Gasoline-higher alcohol blend on performance characteristic of four stroke Spark Ignition engine at variable compression ratio. In Electrical, Electronics, and Optimization Techniques (ICEEOT), International Conference on (pp. 27-33). IEEE.

[8]. Li, M., Cui, H., Han, Y., & Li, A. (2010, August). CFD Technology used to Optimize Fuel Injector Design of Railway Diesel Engine. In Information Engineering (ICIE), 2010 WASE International Conference on (Vol. 4, pp. 90-93). IEEE.

[9]. Linfeng, L., Hai, W., Ping, H., Huifang, K., Ming, Y., Canghua, J., & Zhihong, M. (2017, July). Robust chattering-free sliding mode control of electronic throttle systems in drive-by-wire vehicles. In Control Conference th (CCC), 2017 36 Chinese (pp. 9513-9518). IEEE.

[10]. Liu, S. G., Liu, M. Y., & He, Y. (2002). Checking on the quality of gauge panel based on wavelet analysis. In Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on (Vol. 2, pp. 763-767). IEEE.

[11]. Mamaniyat, A., Robinson, M., Button, G., & Birch, J. (2016). Retrofit condition monitoring and remote data th retrieval from railway vehicle engines. 7 IET Conference on Railway Condition Monitoring 2016 (RCM 2016).

[12]. Mondal, P. K., & Mondal, B. K. (2017, February). Combustion and performance characteristics of a diesel engine using emulsified diesel prepared by ultrasonicator. In Advances in Mechanical, Industrial, Automation and Management Systems (AMIAMS), 2017 International Conference on (pp. 172-178). IEEE.

[13]. Okano, S., & Kondo, K. (2011, November). Study on a method by energy management the engine for controlling output power of hybrid powered railway vehicles with electric double layer capacitors. In IECON 2011-37 Annual Conference on IEEE Industrial Electronics Society (pp. 1608-1613). IEEE.

[14]. Solovyov, S. G., Milutin, E. R., & Ryzhikov, V. A. (2017). Improvement of the internal combustion engine control system. In East-West Design and Test Symposium (EWDTS) (pp.1-4). IEEE.

[15]. Zhang, Y., Sun, J., & Guo, C. (2008, October). Research on the modeling and simulation of the Fourstroke engine and it's control system. In System Simulation and Scientific Computing, 2008. ICSC 2008. Asia th Simulation Conference-7 International Conference on (pp. 1321-1324). IEEE.

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Research Paper

GSM-Based Automated and Smart Irrigation System

Monika Tiwari* , Shivangi Shukla, Vinti Sharma*, Meenalsahu**, Hemlata Sinha*, Dharmendra Singh****

*-** B.E. Scholar, Department of Electronics and Telecommunication, SSIPMT, Raipur, India.

*-**** Assistant Professor, Department of Electronics and Telecommunication, SSIPMT, Raipur, India.

Tiwari, M., Shukla, S., Sharma, V., Meenalsahu., Sinha, H., Singh, D. (2018). GSM-Based Automated and Smart Irrigation System. i-manager’s Journal on Instrumentation and Control Engineering, 6(1), 25-30. https://doi.org/10.26634/jic.6.1.13936

Abstract

Water is a major source of energy for all the living things whether it is a plant or an animal. In this modern world, there are a number of villages, where farmers depend on the rains and borewells for the irrigation of land. Monitoring overhead is still an issue for the farmers having a water pump. It is required to turn ON/OFF manually when needed. To minimize the labor effort, wasting of water, and monitoring overhead, it is the necessity to design an automated irrigation system to resolve such problems. In this paper, the authors propose an automated plant and crop irrigation system using various components like the microcontroller, GSM module, and sensor. This automated irrigation system is proposed to schedule water delivery to the crops.

References

[1]. Adamo, F., Andria, G., Attivissimo, F., & Giaquinto, N. (2004). An acoustic method for soil moisture measurement. IEEE Transactions on Instrumentation and Measurement, 53(4), 891-898.

[2]. Avatade, S. S., & Dhanure, S. P. (2015). Irrigation System Using a Wireless Sensor Network and GPRS. International Journal of Advance Research in Computer and Communication Engineering, 4(5), 521-524.

[3]. Awati, J. S., & Patil, V. S. (2012). Automatic Irrigation Control by using Wireless Sensor Networks. Journal of Exclusive Management Science, 1(6), 1-7.

[4]. Barradas, J. M. M., Matula, S., & Dolezal, F. (2012). A decision support system-fertigation simulator (DSS-FS) for design and optimization of sprinkler and drip irrigation systems. Computers and Electronics in Agriculture, 86, 111-119.

[5]. Bhawarkar, N. B., Pande, D. P., Aaquib, S. M., & Pandit, P. A. (2014). Literature Review for Automated Water Supply with Monitoring the Performance System. International Journal of Current Engineering and Technology, 4(5), 3328- 3331.

[6]. Ebere, E. V., & Francisca, O. O. (2013). Microcontroller based automatic water level control system. International Journal of Innovative Research in Computer and Communication Engineering, 1(6), 1390-1396.

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[10]. Hussain, R., Sahgal, J. L., Gangwar, A., & Riyaj, M. (2013). Control of irrigation automatically by using wireless sensor network. International Journal of Soft Computing and Engineering (IJSCE), 3(1), 324-328.

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[12]. Koech, R. K., Smith, R. J., & Gillies, M. H. (2011). Trends in the surface irrigation systems in the Australian irrigated agriculture. In 2011 Society for Engineering in Agriculture Conference: Diverse Challenges, Innovative Solutions (p. 277). Engineers Australia.

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[15]. Nandurkar, S. R., & Thool, V. R. (2012). Design of a Soil Moisture Sensing Unit for Smart Irrigation Application. In International Conference on Emerging Technology Trends on Advanced Engineering Research (ICETT'12), Proceedings published by International Journal of Computer Applications (IJCA) (pp.-1-4).

[16]. Patil, S. S., & Malviya, A. V. (2014). Review for ARM based Agricultural Field Monitoring System. International Journal of Scientific and Research Publications, 4(2), 1-4.

[17]. Phene, C. J., Hoffman, G. J., & Austin, R. S. (1973). Controlling automated irrigation with soil matric potential sensor. Transactions of the ASAE, 16(4), 773-0776.

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Survey Paper

A Survey on Optimal Design of Controller for AVR Performance Enhancement

Ahmed M. Mosaad* , Almoataz Y. Abdelaziz, Mahmoud Abdallah Attia*

* Electrical and Gas Turbine Maintenance Engineer in Khalda-apache Petroleum Company, Cairo, Egypt.

Professor, Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

* Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

Mosaad, A.M., Abdelaziz, A.Y., Attia, M.A. (2018). A Survey on Optimal Design of Controller for AVR Performance Enhancement. i-manager’s Journal on Instrumentation and Control Engineering, 6(1), 31-43. https://doi.org/10.26634/jic.6.1.13937

Abstract

This paper presents a survey on optimization techniques used to tune the controller parameters on Automatic Voltage Regulator (AVR) system. AVR is a device used to adjust the terminal voltage of synchronous generator. Since output voltage has slow response and instability, a Controller is used to improve stability and to get better response by minimizing maximum overshoot, reducing rise time, reducing settling time and improving steady state error. Proportional-Integral- Derivative (PID), Fraction Order PID (FOPID) and fuzzy logic are some examples of controllers which are used. Optimization techniques are used to tune the Controller due to nonlinear loads, time delays, variable operating points and others. There are different types of optimization techniques as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Harmony Search Algorithm (HSA), Local Unimodal Sampling (LUS), Teaching Learned Based Optimization (TLBO), and others. Researches are performed on different optimization techniques to improve terminal voltage response and stability.

References

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[8]. Bhati, S., & Nitnawwre, D. (2012). Genetic optimization tuning of an automatic voltage regulator system. IJSET, 1(3), 120-124.

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[10]. Chatterjee, A., Mukherjee, V., & Ghoshal, S. P. (2009). Velocity relaxed and craziness-based swarm optimized intelligent PID and PSS controlled AVR system. International Journal of Electrical Power & Energy Systems, 31(7-8), 323- 333.

[11]. Chatterjee, S., & Mukherjee, V. (2016). PID controller for automatic voltage regulator using teaching–learning based optimization technique. International Journal of Electrical Power & Energy Systems, 77, 418-429.

[12]. Coelho, L. D. S. (2009). Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach. Chaos, Solitons and Fractals, 39(4), 1504-1514.

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[14]. Divya, K., & Seshadri, G. (2015). GA-PID tuned Stabilizer AVR system for Synchronous Generators. International Journal of Innovation Technology, 3(4), 438- 442.

[15]. Duman, S., Yorukeren, N., & Altas, I. H. (2016). Gravitational search algorithm for determining controller parameters in an automatic voltage regulator system. Turkish Journal of Electrical Engineering & Computer Sciences, 24(4), 2387-2400.

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[18]. Gaing, Z. L. (2004). A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion, 19(2), 384- 391.

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[22]. Gozde, H., & Taplamacioglu, M. C. (2011). Comparative performance analysis of artificial bee colony algorithm for Automatic Voltage Regulator (AVR) system. Journal of the Franklin Institute, 348(8), 1927-1946.

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* Research Scholar, Department of Electrical and Electronics Engineering, PES College of Engineering, Mandya, India.

** Professor and Head, Department of Electrical and Electronics Engineering, PES College of Engineering, Mandya, India.

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