Abstract
Pantograph mechanism has been used for a long time in 2-D engraving and drawing machines. Controlling the end-effector trajectory requires a control system that can reject the disturbances affecting the end tool. In this paper, we present a case study about modeling and controlling a pantograph mechanism that is facing significant forces due to the interaction with the environment. The mathematical model is first obtained and verified by comparing its response with the response from another numerical MATLAB/Simscape Model. Afterward, an autotuned PID controller was used to control the pantograph's angles when it is interacting with the environment. The results showed successful tracking for the reference signal. The analysis is depending on the essential equations of controlling the end-effector. Hence other equations are giving the independent angles of the links directly. These angles will be useful in real-time control of the end-effector mechanism’s position, which is required in modern industrial robots. The controlled velocity is obtained to reduce the Jacobian matrix of the angular velocities of the driving links. These angular velocities can be converted into individual speeds of the servos, which act as the real-time input.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, K., Huang ,T., Wang, C.: Kinematics and dynamics analysis of a planar hybrid five bar actuator. In: 9th International Conference on Control, Automation, Robotics and Vision 2006, ICARCV 2006, pp. 1–6. IEEE (2006)
Karnopp, D., Margolis, D.: Analysis and simulation of planar mechanism systems using bond graphs. J. Mech. Des. Trans ASME 101(2), 187–191 (1979)
Bonev, I.A.: The true origins of parallel robots, 24 January 2003. https://www.parallemic.org/Reviews/Review007.html
Lafmejani, A.S., Masouleh, M.T., Kalhor, A.: Gough-Stewart parallel robot using backstepping-sliding mode controller and geometry-based quasi forward kinematic method. Robot. Comput. Integr. Manuf. 54, 96–114 (2018). https://doi.org/10.1016/j.rcim.2018.06.001
Sallam, M., Ramadan, A., Fanni, M.: Position tracking for bilateral teleoperation system with varying time delay. In: the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Wollongong, pp. 1146–1151 (2013). https://doi.org/10.1109/AIM.2013.6584248
Sallam, M., Saif, I., Saeed, Z., Fanni, M.: Lyapunov-based control of a teleoperation system in presence of time delay. In: International Conference on Advanced Intelligent Systems and Informatics 2020. AISI, vol. 1261, pp. 759–768 (2020)
Rashad, S.A., Sallam, M., Bassiuny, A.B., Abdelghany, A.M.: Control of master slave robotics system using optimal control schemes. IOP Conf. Ser. Mater. Sci. Eng. 610, 012056 (2019). https://doi.org/10.1088/1757-899X/610/1/012056
Nũo, E., Basãez, L., Ortega, R., Spong, M.W.: Position tracking for non-linear teleoperators with variable time delay. Int. J. Robot. Res. 28(7), 895–910 (2009)
Bin, Z., Jianbin, C., Zhencai, Z.: Dynamic simulation of hybrid-driven planar five-bar parallel mechanism based on sim-mechanics and tracking control. Int. J. Adv. Robot. Syst. 8(4), 28–33 (2011)
Hayward, V., Choksi, J., Lanvin, G., Ramstein, C.: Design and multiobjective optimization of a linkage for a haptic interface. In: Lenarcic, G., Ravani, B., (eds.) Advances in Robot Kinematics, pp. 352–359. Kluver Academic (1994)
Farag, R., Badawy, I., Magdy, F., Mahmoud, Z., Sallam, M.: Real-time trajectory control of potential drug carrier using pantograph “experimental study”. In: International Conference on Advanced Intelligent Systems and Informatics 2020, vol. 1261, pp. 305–313 (2020)
Khalil, I., Abu Seif, M.: Modeling of a Pantograph Haptic Device. https://www.mnrlab.com/uploads/7/3/8/3/73833313/modeling-of-pantograph.pdf
Abou Seif, M., Hassan, A., El-Shaer, H., Misra, S., Khalil, I.: A magnetic bilateral telemanipulation system using paramagnetic microparticles for micromanipulation of nonmagnetic objects. In: Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Munich, Germany, pp. 1095–1102 (2017)
Hongnian, Y.: Modeling and control of hybrid machine systems a five-bar mechanism case. Int. J. Autom. Comput. 3, 235–243 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Saeed, Z., Gabra, B., Sallam, M., Refeay, W., Sharaf, S. (2021). Modeling and Control of a Pantograph Mechanism Interacting with the Environment. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_67
Download citation
DOI: https://doi.org/10.1007/978-3-030-69717-4_67
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69716-7
Online ISBN: 978-3-030-69717-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)