Journal of control & instrumentation (vol5, issue3)

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Dr. Sabura Banu Professor, Dept. of Electronics and Instrumentation Engineering, B.S. Abdur Rahman University, Vandalur, Chennai, India.

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Dr. Kiran Chakravarthula Associate Professor, Dept. of Electronics &Instrumentation Engineering, V.N.R. Vignana Jyothi Institute of Engineering & Technology, Hyderabad, India.

Dr. Santhosh K. V. Assistant Professor, Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal India.


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I take the privilege to present the hard copy compilation for the [Volume 5 Issue (3)] of Journal of Control & Instrumentation. The intension of JoCI is to create an atmosphere that stimulates creativeness, research and growth in the area of Control & Instrumentation. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. JoCI provides an outlet for Research findings and reviews in areas of Control & Instrumentation found to be relevant for National and International recent developments & research initiative. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Control & Instrumentation. Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for their continued support and invaluable contributions and suggestions in the form of authoring writeups/ reviewing and providing constructive comments for the advancement of the journals. With regards to their due continuous support and co-operation, we have been able to publish quality Research/Reviews findings for our customers base. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra Director STM Journals


Journal of Control & Instrumentation

Contents

1. Design Optimization of a Micro Wind Turbine Manisha R. Mhetre, H. K. Abhyankar

1

2. Comparison of Tuning Methods of PID Controllers of Two Conical Tank System of Interacting Type Aasin Rukshna R., Bhuvaneswarri E., Madhubala V., Savithri G., Girirajkumar S.M.

8

3. Dynamic Modelling, Simulation of Single-Link Flexible Robot Manipulator and its Control Lochan K., Surajit S., Binoy K.R.

15

4. Anti-synchronization of Vallis System using Sliding Mode Control Samantaray Jagannath, Singh P. P., Roy B.K.

22

5. Auto Tuning of PI Controller using Fuzzy Logic for the Spherical Tank System and its Real Time Implementation G. Sakthivel, R. Vinodha, S. P. Natarajan

28


Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print) Volume 5, Issue 3 www.stmjournals.com

Design Optimization of a Micro Wind Turbine Manisha R. Mhetre*, H. K. Abhyankar Department of Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India Abstract Nation’s economic health depends on Industrialization. For the growth of Industrial sector i.e. in turn that of society, adequate uninterrupted electric power is essential. Conventional fuel sources are limited and hence the whole world is searching for proper renewable energy sources. Out of many renewable energy sources (Solar, wind, waves etc.) wind energy is offering substantial contribution today. Although, according to Betz’s limit, only 59% energy conversion (i.e. efficiency) can be achieved using wind turbine, many researchers are working on the development of efficient wind energy harvesting system. The authors present, in this paper, a design of efficient micro turbine for very small wind speed as well as very low discharge. As wind speed may vary from absence of wind to light wind breeze, where wind force is very small, harvesting of energy from this becomes a challenging task. For development of such a micro turbine, simulink program has been used to simulate wind power generation for low discharge, low wind speed and design of the turbine parameters was optimized. The prototype of wind turbine was developed and results are presented in this paper.

Keywords: Renewable energy, micro turbine, wind energy harvesting, simulink

JoCI (2014)© STM Journals 2014. All Rights Reserved


Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print) Volume 5, Issue 3 www.stmjournals.com

Comparison of Tuning Methods of PID Controllers of Two Conical Tank System of Interacting Type Aasin Rukshna R.*, Bhuvaneswarri E., Madhubala V., Savithri G., Girirajkumar S.M. Department of Instrumentation and Control Engineering, Saranathan College of Engineering, Trichy, Tamilnadu, India

Abstract The rapid increasing complexity of modern control systems has accentuated the idea of applying new modern approaches in order to solve design problems for various control engineering applications. This paper deals with the tuning of PID controllers for complex nonlinear process of two interacting Conical Tank Systems. Conical tanks play vital role in leaching extractions in pharmaceutical and chemical industries, as well as in food processing industry. It is a kind of multiple-use equipment, designed for boiling and extraction working procedure. Level control of a conical tank is a tedious process because of its non-linear characteristics hence proportional-Integral-Derivative (PID) control schemes have been widely used to overcome the issue by applying different controlling techniques. A PID controller is otherwise called as three term-control which has three constant parameters and it takes the present error, accumulation of past errors and prediction of future errors into account based upon the current rate of change of error, respectively. The proposed control strategy includes the tuning of PID controller using Ziegler-Nicholos (Z-N) method and intelligent techniques like Genetic Algorithm (GA). The scope of this paper is to compare the different conventional tuning methods for single input single output (SISO) systems such as Z-N, Tyreus-Luben (T-L), Internal Model Control (IMC) and GA to predict the most efficient controller. The factors for comparison include time domain specifications and performance of the controller. The performance of the controller for different tuning rules has been investigated in a MATLAB simulation Platform in which Genetic Algorithm outperformed well when compared to all other controllers in terms of time domain specification and performance index.

Keywords: Conical tank, interacting performance and genetic algorithm

system, non-linear,

JoCI (2014)Š STM Journals 2014. All Rights Reserved

PID, controller,


Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print) Volume 5, Issue 3 www.stmjournals.com

Dynamic Modelling, Simulation of Single-Link Flexible Robot Manipulator and its Control Lochan K.*, Surajit S., Binoy K.R. Department of Electrical Engineering, National Institute of Technology, Silchar, Assam, India Abstract This paper presents the dynamic modelling of single link flexible manipulator based on Assumed Modes Method. Modelling of flexible robot manipulator is a challenging task because of its nonlinearity and complexity involved in the dynamics. Kinetic energy, potential energy, and dissipation energy are taken into consideration for dynamics modelling. The model is simulated using SIMULINK software by considering proper parameters and constants. Modelling dynamics is simulated by using two different inputs (bang-bang, and step) as angular position, both in open and closed loop of the system. Classical PID controller is designed using MATLAB pidtune command. Particle Swarm Optimization is also used to find the tuning parameter of PID controller. Comparison is made between these two PID controllers. Performances of the controllers are shown in terms of tp, Mp, ISE, and IAE.

Keywords: Robot manipulator, flexible link, modelling, simulation, PID control

JoCI (2014)Š STM Journals 2014. All Rights Reserved


Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print) Volume 5, Issue 3 www.stmjournals.com

Anti-synchronization of Vallis System using Sliding Mode Control Samantaray Jagannath*, Singh P. P., Roy B.K. Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India Abstract This paper is concerned with anti-synchronization of Vallis system (talks about fluctuations of temperature in western and eastern parts of near-equatorial area of the ocean). Sliding mode control is proposed to achieve the proposed anti-synchronization. A proportional integral switching surface is devised with appropriate control law and reduction of chattering is considered as well. Simulation results are given for verification and effectiveness of the proposed scheme. Simulation results reveal that the proposed scheme is working satisfactorily.

Keywords: Anti-synchronization, vallis chaotic system, proportional integral control, sliding mode control

JoCI (2014)Š STM Journals 2014. All Rights Reserved


Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print) Volume 5, Issue 3 www.stmjournals.com

Auto Tuning of PI Controller using Fuzzy Logic for the Spherical Tank System and its Real Time Implementation G. Sakthivel*, R. Vinodha, S. P. Natarajan Department of Electronics and Instrumentation Engineering, Annamalai University Chidambaram, Tamilnadu, India Abstract In this paper, Auto Tuning of PI controller using fuzzy logic is developed to improve the performance of the spherical tank process. A real time implementation of proposed controller for a spherical tank to control liquid level is studied. Control of liquid level in a spherical tank is highly non linear due to variation in the area of cross section of level system with change in shape. System identification of spherical tank system is done using black box model which is identified to be non linear and approximated to be a first order plus dead time model. Here the conventional PI controller parameters are obtained based on Ziegler-Nicholas (ZN) method and its servo & regulatory responses are compared with PI controller tuned by fuzzy logic. The real time implementation of the process is designed and implemented in MATLAB using VMAT-01 Data Acquisition Module. Fuzzy logic is used to tune each parameter of PI controller, fuzzy rules are designed to tune the parameters Kp and Ki of the PI controller, the performance of the spherical tank system has improved significantly compare to conventional PI controller.

Keywords: Fuzzy controller, PI controller, spherical tank, system identification, Fuzzy tuners

JoCI (2014)Š STM Journals 2014. All Rights Reserved


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