Application of Draw Wire Sensor in the Tracking Control of An Electro Hydraulic Actuator System
DOI:
https://doi.org/10.11113/jt.v73.4406Keywords:
Electro hydraulic actuator system, draw wire sensor, self tuning controller, generalize minimum variance controlAbstract
A draw wire sensor is considered as a contact measurement method. It is normally used to measure the speed and position of a system. A draw wire sensor is convenient especially when a low cost solution and a small sensor dimension are desired. The objective of this paper is to describe the application of draw wire sensor in control tracking of electro hydraulic actuator system. This research started with the modelling of electro hydraulic actuator system by using system identification approach. During the data taking process, an experiment is conducted using electro hydraulic actuator test bed. A draw wire sensor is attached to the load of electro hydraulic actuator system to measure the output displacement when the system is injected with the desired input signal. Draw wire sensor is measuring the output displacement in millimeters and then the signal is converted to voltage reading regarding to the given input signal. The input and output signal is collected and is used in system identification technique to obtain the best mathematical model that can represent the electro hydraulic actuator system. Once a model is obtained, a Self Tuning Controller (STC) with Generalize Minimum Variance Control (GMVC) strategy is designed to control the tracking performance of the electro hydraulic actuator system. The designed controller is tested in simulation and experiment mode. Then, the output result from both modes is compared. The results show that the output performance from both modes are almost similar. Thus, this research had shown that a draw wire sensor has a significant role in capturing an accurate output data from electro hydraulic actuator system even with or without the controller.
References
M. Rahmat, et al. 2011. Accuracy Comparison of Arx and Anfis Model of an Electro-Hydraulic Actuator System. International Journal on Smart Sensing and Intelligent Systems. 4: 440–453.
Y. Bin, et al. 2000. Adaptive Robust Motion Control of Single-rod Hydraulic Actuators: Theory and Experiments. Mechatronics, IEEE/ASME Transactions on. 5: 79–91.
A. G. Loukianov, et al. 2008. Force Tracking Neural Block Control for an Electro-hydraulic Actuator via Second-order Sliding Mode. International Journal of Robust and Nonlinear Control. 18: 319–332.
A. Alleyne and J. K. Hedrick. 1995. Nonlinear Adaptive Control of Active Suspensions. Control Systems Technology, IEEE Transactions on. 3: 94–101.
H. Shiuh-Jer and L. Wei-Cheng. 2003. Adaptive Fuzzy Controller with Sliding Surface for Vehicle Suspension Control. Fuzzy Systems, IEEE Transactions on. 11: 550–559.
L. Laval, et al. 1996. Force Control of a Hydraulic Servo-actuator With Environmental Uncertainties. In Robotics and Automation, Proceedings. 1996 IEEE International Conference on. 2: 1566–1571.
S.-J. Huang and H.-Y. Chen. 2006. Adaptive Sliding Controller With Self-tuning Fuzzy Compensation for Vehicle Suspension Control. Mechatronics. 16: 607–622.
M. R. Sirouspour and S. E. Salcudean. 2001. Nonlinear Control of Hydraulic Robots. Robotics and Automation, IEEE Transactions on. 17: 173 –182.
C. Guan and S. Pan. 2008. Adaptive Sliding Mode Control of Electro-hydraulic System with Nonlinear Unknown Parameters. Control Engineering Practice. 16: 1275–1284.
V. Pommier, et al. 2008. Crone Control of a Nonlinear Hydraulic Actuator. Control Engineering Practice. 10: 391–402.
G. Cheng and P. Shuangxia. 2002. Nonlinear Adaptive Robust Control of Single-Rod Electro-Hydraulic Actuator With Unknown Nonlinear Parameters. Control Systems Technology, IEEE Transactions on. 16: 434–445.
M. R. Sirouspour and S. E. Salcudean. 2000. On the Nonlinear Control of Hydraulic Servo-systems. In Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on. 2: 1276–1282.
S. Shukla, et al. 2005. A Vision System for Patient Positioning in Radiation therapy. Sensor Review. 25: 261–270.
C. Connolly. 2007. Technological Improvements in Position Sensing. Sensor Review. 27: 17–23.
G. Pepka. 2007. Position and Level Sensing Using Hall-Effect Sensing Technology. Sensor Review. 27: 29–34.
J. Stephan. 2002. Efficient Sensor System for Online Contour Tracking in Textile Machinery. Sensor Review. 22: 328 –333.
G. Nikolic and G. Cubric. 2007. Investigating the Positioning Edge Accuracy of Sensors in Textile and Clothing Manufacture. International Journal of Clothing Science and Technology. 19: 178–185.
M. Schofield. 2002. Does Your Robot Really Know Where It Is? Industrial Robot: An International Journal. 29: 407–411.
L. Danisch, et al. 1999. Spatially Continuous Six Degree of Freedom Position and Orientation Sensor. Sensor Review. 19: 106–112.
M. Shoham, et al. 1984. An Optical Sensor for Real-time Positioning, Tracking, and Teaching of Industrial Robots. Industrial Electronics, IEEE Transactions on. 159–163.
R. J. Barsanti and M. Tummala. 2000. Passive Target Tracking With Uncertain Sensor Positions. In Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on. 271–274.
J. Golby. 2010. Advances in Inductive Position Sensor Technology. Sensor Review. 30: 142–147.
L. Zadeh. 1956. On the Identification Problem. Circuit Theory, IRE Transactions on. 3: 277–281.
S. M. R. M.F. Rahmat, N. Abdul Wahab, Zulfatman, Kamaruzaman Jusoff. 2010. Modeling and Controller Design of an Electro-Hydraulic Actuator System. American Journal of Applied Sciences. 7: 1100–1108.
M. Rahmat. 2010. Application of Draw Wire Sensor In Position Tracking Of Electro Hydraulic Actuator System. International Journal on Smart Sensing and Intelligent Systems. 3: 736–755.
M. Rahmat, et al. 2010. Self-Tuning Position Tracking Control of an Electro-Hydraulic Servo System in the Presence of Internal Leakage and Friction. International Review of Automatic Control. 3: 673–683.
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