Summary
Several tasks of the most recent robotics applications require high control performances, which cannot be achieved by the classical joint independent control schemes widely used in the industrial field. The necessity to directly take into account parasitic phenomena affecting motion control, such as friction, often leads to the development of model-based control schemes. The actual effectiveness of such schemes is strongly dependent on the accuracy with which the robot dynamics and the friction effects are compensated by the identified models, and it must be assessed by suitable experimental tests. In this chapter, different solutions are investigated for the development of a model-based control scheme, including joint friction compensation, for a two-links, planar, direct-drive manipulator. In particular, the use of available nominal robot inertial parameters for the identification of a nonlinear friction function, based on the well-known LuGre model, is compared with a complete dynamic calibration of the manipulator, including the estimation of both the robot dynamics and the parameters of a polynomial friction function. The identification results are discussed in the two cases, and inverse dynamics control schemes, based on the identified models, are experimentally applied to the manipulator for the execution of different trajectories, which allow the evaluation of the control performances in different conditions.
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References
Armstrong-HĂ©louvry B (1991) Control of machines with friction. Kluwer Academic Publishers, Boston, MA
Armstrong-Hélouvry B, Dupont P, Canudas de Wit C (1994) A survey of models, analysis tools and compensation methods for the control of machines with friction. Automatica 30(7):1083–1138
Bona B, Indri M, Smaldone N (2002) An experimental setup for modelling, simulation and fast prototyping of mechanical arms. 207–212. In: IEEE Conf. on Computer-Aided Control Systems Design, Glasgow, UK
Bona B, Indri M, Smaldone N (2003a) Nonlinear friction phenomena in direct-drive robotic arms: An experimental set-up for rapid modelling and control prototyping. 59–64. In: 7th IFAC 2003 Symposium on Robot Control, Wroclaw, Poland
Bona B, Indri M, Smaldone N (2003b) Nonlinear friction estimation for digital control of direct-drive manipulators. In: European Control Conference (ECC’03), Cambridge, UK
Calafiore G, Indri M, Bona B (2001) Robot dynamic calibration: optimal excitation trajectories and experimental parameter estimation. J. Robotic Systems 18(2):55–68
Canudas de Wit C, Noël P, Aubin A, Brogliato B (1991) Adaptive friction compensation in robot manipulators: Low velocities. Int. J. of Robotic Research 10(3):189–199
Canudas de Wit C, Olsson H, Åström K, Lischinsky P (1995) A new model for control of systems with friction. IEEE Trans. on Automatic Control 40(3):419–425
Chen YY, Huang PY, Yen JY (2002) Frequency-domain identification algorithms for servo systems with friction. IEEE Trans. on Control Systems Technology 10(5):654–665
Dupont P, Armstrong B, Hayward V (2000) Elasto-plastic friction model: contact compliance and stiction. 1072–1077. In: 2000 American Control Conference, Chicago, IL
Dupont P, Hayward V, Armstrong B, Altpeter F (2002) Single state elastoplastic friction models. IEEE Trans. on Automatic Control 47(5):787–792
Gautier M, Khalil W (1990) Direct calculation of minimum set of inertial parameters of serial robots. IEEE Trans. on Robotics and Automation 6(3):368–373
Hensen R, van de Molengraft M, Steinbuch M (2002) Frequency domain identification of dynamic friction model parameters. IEEE Trans. on Control Systems Technology 10(2):191–196
Lampaert V, Swevers J, Al-Bender F (2002) Modification of the leuven integrated friction model structure. IEEE Trans. on Automatic Control 47(4):683–687
Olsson H, Åström K, Canudas de Wit C, Gäfvert M, Lischinsky P (1998) Friction models and friction compensation. European Journal of Control 4:176–195
Sciavicco L, Siciliano B (2000) Modelling and control of robot manipulators, 2nd edition. Springer, Berlin
Sheu SY, Walker M (1989) Estimating the essential parameter space of the robot manipulator dynamics. 2135–2140. In: 28th Conference on Decision and Control, Tampa, FL
Swevers J, Al-Bender F, Ganseman C, Prajogo T (2000) An integrated friction model structure with improved presliding behaviour for accurate friction compensation. IEEE Trans. on Automatic Control 45(4):675–686
Tataryn P, Sepehri N, Strong D (1996) Experimental comparison of some compensation techniques for the control of manipulators with stick-slip friction. Control Engineering Practice 4(9):1209–1219
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Bona, B., Indri, M., Smaldone, N. (2006). Friction Identification and Model-Based Digital Control of a Direct-Drive Manipulator. In: Menini, L., Zaccarian, L., Abdallah, C.T. (eds) Current Trends in Nonlinear Systems and Control. Systems and Control: Foundations & Applications. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4470-9_13
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DOI: https://doi.org/10.1007/0-8176-4470-9_13
Publisher Name: Birkhäuser Boston
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