The quality of Natural Gas Piping Systems (NGPS) must be ensured against any manufacturing defects. For this purpose, we develop a special testing machine (STM) constructed at the lab to test (NGPS). The proposed (STM) function is based on testing the weak points at the pipe connections e.g. pipe bends, and intermediate connections. For more than 1500 pieces of (NGPS), crack propagation simultaneously followed up and monitored on the output screen at the critical positions of the pipelines connections. The control system utilizes the LabVIEW tools for various signals acquisition and monitoring also for designing the control system strategy

Parwal, A.K.

Parwal, G.

Sharma, A.K.

Sharma, Alokanand

English

University of the South Pacific Electronic Research Repository

Design and Implementation of Fuzzy Based Control System for Natural Gas Pipes system based on LabVIEW Arvind Kumar Parwal1, Gaurav Parwal2, Alok Sharma 3 Arvind K Sharma4  1Department of Electrical & Electronics, CEST, Fiji National University, Fiji arvindparwal@gmail.com      2 Dept of Computer Science, Amity School of Engineering & Technology, Amity University, Jaipur, India grv.parwal@gmail.com 3 School of Engineering and Physics, University of South Pacific, Fiji 4 Electrical & Electronics Dept, Krishna Institute of Engineering & Technology,  Ghaziabad, India  3 alokanand.l.sharma@usp.ac.fj 4arvind_sharma@kiet.edu   Abstract. The quality of Natural Gas Piping Systems (NGPS) must be ensured against any manufacturing defects. For this purpose, we develop a special testing machine (STM) constructed at the lab to test (NGPS). The proposed (STM)[1] function is based on testing the weak points at the pipe connections e.g. pipe bends, and intermediate connections. For more than 1500 pieces of (NGPS), crack propagation simultaneously followed up and monitored on the output screen at the critical positions of the pipelines connections. The control system utilizes the LabVIEW™ tools for various signals acquisition and monitoring also for designing the control system strategy.   Keywords: Natural Gas Piping Systems (NGPS), special testing machine (STM), LabVIEW, hydraulic power cylinder (HPC) 1. Introduction Piping systems are like arteries and veins for power plants, oil refineries, petroleum pipelines, cities urbane plan watering and light gas systems and food industry. The natural gas transportation, and distribution pipelines convey natural gas from the source and storage tank to the utilization stations, e.g. power plants, various industrial regions. Pipe bends are considered as the most critical components in piping systems. Furthermore, pipe bends are usually built-in to reduce anchor reactions. Special testing machine (STM) [1] is a unique testing machine which, used to implement all mechanical tests mainly for Natural Gas Piping Systems (NGPS) also, for other types of flat and fracture specimens. STM can perform several tests namely; tension, compression, bending, torsion, fatigue, and combined loading (opening and closing mode) under internal pressure. The other unique feature is related to testing speeds which are about three times compared with other testing machines. The maximum testing speed and maximum span are, V = 6000 [mm/min], and S = 950 [mm] respectively [10]. SIA 2013, ASTL Vol. 22, pp. 79 - 85, 2013 © SERSC 2013 79 2. System Design STM consists of the following parts; (i) Mainframe which contains fixing accessories for pipes, flat, and fracture specimens, (ii) Hydraulic power unit [2], (iii) Electrical power unit[3], and (iv) Automation unit as shown in Figure1. The automation unit implements three main tasks; the first task is to control the orientation of the hydraulic power cylinder (HPC)[4,5,6] to change the mode of testing. For tension or compression mode the acting force must be perpendicular to the specimen surface so that HPC should be oriented vertically as shown in Figure 2.    Fig. 1.  Photo of Testing Machine for Natural Gas Piping Systems (NGPS) The torsion test needs to rotate HPC around the X-axis (90o) to produce the torsion force (FZ). In case of fatigue test, HPC is oriented to the required loading point after that the fluctuated force acts on the specimen for several cycles. Orientation control involves three electric motors for vertical motion along Y-axis, for horizontal motion along X-axis, and for rotation around X-axis as shown in Figure 2. The Second task is to control the hydraulic system. The hydraulic system consists of i) Hydraulic service unit including pump, filter and hydraulic safety elements. ii) Hydraulic power cylinder (HPC) which the testing force will be generate on the pipe. Proceedings, The 2nd International Conference on Sensor and Its Applications80 Fig. 2. Three Dimensions Model for Special Testing Machine (STM) iii) Proportional hydraulic valve with embedded power amplifier to control the direction and the speed of the HPC. Integration of different sensors types with up normal environmental conditions requires robust data acquisition card. The DAQ is connected to the hydraulic valve power amplifier through an analog channel. The hydraulic valve receives a signal with ± 10 volt to control the speed of HCP in both directions (positive and negative Y-axis direction).  2.1 Fuzzy Toolkit  The fuzzy toolkit is well suited for control applications on nonlinear or complex dynamics systems such as hydraulic positioning systems. The dynamic behavior of the hydraulic valve is highly nonlinear along the wide range of speeds therefore; the fuzzy controller is utilized to control the hydraulic valve. Fuzzy controllers generally have many advantages over other controller’s types. National Instrument [7, 8, 9, 10] provides an excellent tool to build the fuzzy controllers. The STM automation is based on the fuzzy controller block witch included in the LabVIEW fuzzy logic toolkit. A fuzzy membership function editor allows to quantitatively defining linguistic terms for input variables with simple GUI interface. Figure 3 shows the block diagram for control loop and signal monitoring loop.  2.2 Block Diagram  The fuzzy logic toolkit is used to implement a rule-based feedback controller. Figure 3 shows the block diagram for control loop and signal monitoring loop.  Design and Implementation of Fuzzy Based Control System for Natural Gas Pipes system based on LabVIEW81  Fig. 3. Block Diagram for Control Loop and Signal Monitoring Loop  The third task is to monitor the test signals; during the test many signals from sensors are acquired and monitored as shown in Figure. 4, and Figure 5. STM sensors are Precise linear potentiometer (measuring range 600 mm with 0.01 mm resolution) to position the HPC during the test, the potentiometer signal used to control the position of HPC. A novel sensor called “Clip Gauge” is designed especially for the machine to measure the crack opening displacement (COD) during the tests with 0.001mm accuracy.   3. LabVIEW  LABVIEW (Laboratory Virtual Instrumentation Engineering Workbench) is a development environment [5] that utilizes a graphical programming language, called “G”, developed by National Instruments.   3.1 NI USB 6009 The NI‐USB [7] shown in Figure 4, is a module used for data acquisition which can be connected to PC via a USB. It has 8 analog inputs, two analog outputs and 12 digital I/O connections. The module is compatible with programming software LABVIEW. All sensors signals are a real time monitored and plotted such as a special plot for force-deflection curve to characterize the behavior of pipe bend (Elbow) during the test. Characterization involves implementing the standard tests with general loading conditions to the pipes after the manufacturing processes. Proceedings, The 2nd International Conference on Sensor and Its Applications82  Fig.4. National Instruments USB 6009  On the other hand simulation involves implementing special tests with loading conditions that depends to where and how the pipe will be loaded.  3.1.1 Front Panel  Figure 5 shows the Front Panel of the control system   Fig. 5.  Front Panel for the control system  3.1.2 Block Diagram  Figure 6 shows the block diagram for the control system.  Design and Implementation of Fuzzy Based Control System for Natural Gas Pipes system based on LabVIEW83   Fig. 6. Block diagram for the Control System   5. Conclusions   A novel design of a special testing machine (STM) introduces testing rates three times compared with other testing machines. All tests are implemented in one machine with multifunction monitoring and flexible automation system. The quality of Natural Gas Piping Systems (NGPS) is ensured against any manufacturing defects. For this purpose, we tried to develop a special testing machine (STM) constructed at the lab to test (NGPS). The proposed (STM) function is based on testing the weak points at the pipe connections e.g. pipe bends, and intermediate connections.   References  1. Automated Test Equipment (ATE) Fixtures – Glue and Black Magic, 2006 Canadian Conference  on Electrical and Computer Engineering. 2. System Control of Power Electronics Interfaced Distribution Generation Units, Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International Volume: 1 3. Hybrid hydraulic-electric power unit for field and service robots Amundson, K.; Raade, J.; Harding, N.; Kazerooni, H Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference. 4. Dynamic resource allocation in an HPC environment Gilmour, D.A.; Hanna, J.P.; Blank, G. Computer Architecture, 2004. Proceedings. 31st Annual International Symposium. 5. Benefits of Software Rejuvenation on HPC Systems Naksinehaboon, N.; Taerat, N.; Leangsuksun, C.; Chandler, C.F.; Scott, S.L.Parallel and Distributed Processing with Applications (ISPA), 2010 International Symposium. 6. Design and implementation of fuzzy based controller for modern elevator group, Industrial Electronics and Applications (ISIEA), 2011 IEEE Symposium. 7. NI‐USB 6009  http://sine.ni.com/nips/cds/view/p/lang/en/nid/14604 8. National Instruments, LabVIEW User Manual. Texas: National Instruments, 2003. 9. LMI-based tracking control for Takagi-Sugeno fuzzy model,Afef Abdelkrim, Chekib Ghorbel, Mohamed Benrejeb IJCA Vol. 3, No. 1, March 2010. Proceedings, The 2nd International Conference on Sensor and Its Applications8410. Dong H. Shin, Soon T. Kwon, Sang H. Park and Moon G. Joo, Fuzzy State Feedback Control for Way-Point Tracking of Autonomous Underwater Vehicle IJCA Vol. 6, No. 1, February 2013 11. Fuzzy based Quantitative Evaluation of Architectures using Architectural Knowledge C. Dhaya and G. Zayaraz IJAST Volume 49, December 2012 Design and Implementation of Fuzzy Based Control System for Natural Gas Pipes system based on LabVIEW85

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Design and implementation of fuzzy based control system for natural gas pipes system based on LabVIEW

http://repository.usp.ac.fj/7024/1/Conf_Paper.pdf

Design and implementation of fuzzy based control system for natural gas pipes system based on LabVIEW

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