Abstract
The pneumatic actuators can be a useful way to control the position of a manipulator robot, instead of an electrical actuator. The major problem with pneumatic actuators is the compressibility of the air, due to the fact that the mathematical model is a system formed by a set of highly non-linear equations then a simple PID control is not enough to control the robot position, and fuzzy logic is a good option. This work is focused on the hardware implementation of Fuzzy logic algorithm into FPGA system. This paper also presents a methodology to implement a pneumatic control using fuzzy logic, into a FPGA device, which is the main contribution of this work. The air flow is controlled with a pulse width modulation, applied to the pneumatic electro- valve, with 25 ms of period.
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References
Barriga, A., Sánchez-Solano, S., Jiménez, C.J., Gálan, D., López, D.R.: Automatic Synthesis of Fuzzy Logic Controllers. Mathware & Soft Computing 3, 425–434 (1996)
Lago, E., Hinojosa, M.A., Jiménez, C.J., Barriga, A., Sánchez-Solano, S.: FPGA Implementation of Fuzzy Controllers. In: XII Conference on Design of Circuits and Integrated Systems (DCIS 1997), pp. 715–720 (1997)
López, D.R., Jiménez, C.J., Baturone, I., Barriga, A., Sánchez-Solano, S.: Xfuzzy: A Design Environment for Fuzzy Systems. In: Seventh IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 1998), Anchorage, Alaska, pp. 1060–1065 (1998)
Patyra, M.J., Grantner, J.L.: Hardware implementations of digital fuzzy logic controllers. Information Sciences: an International Journal 113, 19–54 (1999)
Melgarejo, M.A., Peña-Reyes, C.A.: Hardware Architecture and FPGA Implementation of a Type-2 Fuzzy System. In: Proceedings of the 14th ACM Great Lakes symposium on VLSI, pp. 458–461 (2004)
Mermoud, G., Upegui, A., Peña, C.A., Sanchez, E.: A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems. In: Cabestany, J., Prieto, A.G., Sandoval, F. (eds.) IWANN 2005. LNCS, vol. 3512, pp. 572–581. Springer, Heidelberg (2005)
Poorani, S., Urmila-Priya, T.V.S., Kumar, K.U., Renganarayanan, S.: Fpga Based Fuzzy Logic Controller for Electric Vehicle. Journal of The Institution of Engineers 45(5), 1–14 (2005)
Deliparaschos, K.M., Nenedakis, F.I., Tzafestas, S.G.: Design and Implementation of a Fast Digital Fuzzy Logic Controller Using FPGA Technology. Journal of Intelligent and Robotic Systems 45, 77–96 (2006)
Karakuzu, C., Demirci, O.: Fuzzy Logic Based Smart Traffic Light Simulator Design and Hardware Implementation. Applied Soft Computing 10(1), 66–73 (2010)
Bannatyne, R.: Development of fuzzy logic in embedded control. Sensor Review 14(3), 11–14 (1994)
Montiel, O., Olivas, J., Sepúlveda, R., Castillo, O.: Development of an Embedded Simple Tuned Fuzzy Controller. In: Zurada, J.M., Yen, G.G., Wang, J. (eds.) WCCI 2008. LNCS, vol. 5050, pp. 555–561. Springer, Heidelberg (2008)
Montiel, O., Maldonado, Y., Sepulveda, R., Castillo, O.: Simple tuned fuzzy controller embedded into an FPGA. Annual Meeting of the North American Fuzzy Information Processing Society 19(22), 1–6 (2008)
Ramos, J.M., Gorrostieta, E., Pedraza, J.C., Romero, R.J., Ramírez, B.: Pneumatic Cylinder Control for a Flexible Manipulator Robot. In: 12th IEEE International Conference on Methods and Models in Automation and Robotics, pp. 637–641 (2006)
Gorrostieta, E., Ramos, J.M., Pedraza, J.C.: Fuzzy and Neuronal Control to Flexible Manipulator. International Journal of Factory Automation, Robotics and Soft Computing, 155–160 (April 2007)
Ramos-Arreguin, J.M., Pedraza-Ortega, J.C., Gorrostieta-Hurtado, E., Romero-Troncoso, R.J., Vargas-Soto, J.E., Hernandez-Hernandez, F.: Pneumatic Fuzzy Controller Simulation vs Practical Results for Flexible Manipulator. Automation and Robotics, 191–200 (2008)
Ramos-Arreguin, J.M., Pedraza-Ortega, J.C., Gorrostieta-Hurtado, E., Romero-Troncoso, R.J.: Artificial Intelligence Applied into Flexible Manipulator. In: Seventh Mexican International Conference on Artificial Intelligence, pp. 339-345 (2008)
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Ramos-Arreguin, JM. et al. (2010). Fuzzy Logic Hardware Implementation for Pneumatic Control of One DOF Pneumatic Robot. In: Sidorov, G., Hernández Aguirre, A., Reyes García, C.A. (eds) Advances in Soft Computing. MICAI 2010. Lecture Notes in Computer Science(), vol 6438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16773-7_43
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DOI: https://doi.org/10.1007/978-3-642-16773-7_43
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