Force feedback controller based on fuzzy-rules emulated networks and Hertzian contact with ultrasound

Mechanical Systems and Signal Processing

Volumn 27, Issue 1, 2012, Pages 534-550

  Armendariz, J ^a   Treesatayapun, C ^a   Baltazar, A ^a  

^a Robotics and Advanced Manufacturing Program CINVESTAV Saltillo   (Mexico)

Author keywords

Adaptive control; Discrete time; Force control; Hertzian contact; Neuro Fuzzy; Ultrasound

Indexed keywords

ADAPTIVE CONTROL; CONTACT PROBES; DISCRETE-TIME; FORCE CONTROLLER; FORCE FEEDBACK; FORCE SENSOR; FOUR-DEGREES-OF-FREEDOM; FUZZY RULES EMULATED NETWORKS; HERTZIAN CONTACTS; HIGH SENSITIVITY; NEURO-FUZZY; NEURO-FUZZY ALGORITHMS; REACTION FORCES; ROBOTIC SYSTEMS; STRUCTURE-BASED; TEST MATERIALS; ULTRASONIC PROBE;

ALGORITHMS; CONTROLLERS; FORCE CONTROL; FUZZY SETS; MECHANICAL PROPERTIES; NANOCOMPOSITES; PROBES; ROBOTICS; ULTRASONIC TRANSDUCERS; ULTRASONICS;

ADAPTIVE CONTROL SYSTEMS;

EID: 82255192546     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.08.009     Document Type: Article

References (38)

1. Y. Li, I. Kao, A review of modeling of soft-contact finger and stiffness control of dexterous manipulation in robotic, in: IEEE International Conference on Robotics and Automation, ICRA01, Seoul, Korea, 2001.
2. F. Barbagli, D. Prattichizzo, K. Salisbury, Multi-point Interaction with Real and Virtual Objects, STAR 18, Springer-Verlag, 2005.
3. G. Duchemin, P. Maillet, P. Poignet, E. Dombre, and F. Pierrot A hybrit position/force control approach for identification of deformation models of skin and underlying tissues IEEE Trans. Biomed. Eng. 52 2 2005 160 170 (Pubitemid 40188664)
4. R. Volpe, and R. Ivlev A survey and experimental evaluation of proximity sensors for space robotics IEEE International Conference on Robotics and Automation vol. 4 1994 3466 3473
5. J.S. Son, E.A. Monteverde, R.D. Howe, A tactile sensor for localizing transient events in manipulation, in: IEEE International Conference on Robotics and Automation, San Diego, CA, 1994, pp. 471476.
6. R.A. Russell, S. Parkinson, Sensing surface shape by touch, in: IEEE International Conference on Robotics and Automation, Atlanta, GA, 1993, pp. 423428.
7. M.R. Tremblay, M.R. Cutkosky, Estimating friction using incipient slip sensing during manipulation task, in: IEEE International Conference on Robotics and Automation, Atlanta, GA, 1993, pp. 429434.
8. I. Kao, and F. Yang Stiffness and contact mechanics of soft fingers in grasping and manipulation IEEE Trans. Rob. Autom. 20 1 2004
9. L. Biagiotti, F. Lotti, C. Melchiorri, G. Vassura, Mechatronic design of innovative fingers for anthropomorphic robot, in: IEEE International Conference on Robotics and Automation, Seoul, 2003.
10. T. Inoue, and S. Hirai Elastic model of deformable fingertip for soft-fingered manipulation IEEE Trans. Rob. 22 6 2006 1273 1279 (Pubitemid 44921754)
11. R.S. Dwyer-Joyce, A.M. Quinn, B.W. Drinkwater, An experimental procedure for mapping hertzian contacts, in: International Conference on Tribology, Beijing, 2001.
12. M. Pau, F. Aymerich, and F. Ginesu Distribution of contact pressure in wheel-rail contact area Tribol. Int. 253 2003
13. R.S. Dwyer-Joyce, and B.W. Drinkwater In situ measurement of contact area and pressure distribution in machine elements Tribol. Lett. 14 1 2003
14. R.S. Dwyer-Joyce, and N. Hankinson Ultrasonic measurement of the elastic properties of soft surface coatings Tribol. Int. 39 4 2005 326 331
15. A. Baltazar, S. Rokhlin, and C. Pecorari On the relation between ultrasonic and micromechanical properties of contacting rough surfaces J. Mech. Phys. Solids 50 2002 1397 1416 (Pubitemid 34551825)
16. C.H. Lee, and C.C. Teng Identification and control of dynamic system using recurrent fuzzy neural networks IEEE Trans. Fuzzy Syst. 8 August 2000 349 366
17. C.Y. Tang, and E.A. Misawa Discrete variable structure control for linear multivariable systems ASME J. Dyn. Syst. Meas. Control 122 2000 783 792
18. D. Wang, and J. Huang A neural-network-based approximation method for discrete-time nonlinear servomechanism problem IEEE Trans. Neural Networks 12 3 2001 591 597 (Pubitemid 32583558)
19. L. Chen, and K. Narendra Identification and control of a nonlinear discrete-time system based on its linearization: a unified framework IEEE Trans. Neural Networks 15 3 2004 663 673
20. M. Chen, and D.A. Linkens A hybrid neuro-fuzzy PID controllers Fuzzy Sets Syst. 2736 1998 99
21. P. He, and S. Jagannathan Reinforcement learning neural-network-based controller for nonlinear discrete-time systems with input constraints IEEE Trans. Syst. Man Cybern. 37 2 2007 425 436 (Pubitemid 46523230)
22. Y. Shi, and M. Mizumoto An improvement of neuro-fuzzy learning algorithm for tuning fuzzy rules Fuzzy Sets Syst. 339350 2001 118
23. C.T. Lin Neural Fuzzy Systems 1996 Prentice-Hall
24. J.S. Jang, C.T. Sun, and E. Mizutani Neuro-Fuzzy and Soft Computing 1997 Prentice-Hall
25. S. Jagannathan Neural Network Control of Nonlinear Discrete-Time Systems 2006 Taylor & Francis Boca Raton, FL
26. C. Treesatayapun, and S. Uatrongjit Adaptive controller with fuzzy rules emulated structure and its applications Eng. Appl. Artif. Intell. 18 2005 603 615 (Pubitemid 40612582)
27. C. Treesatayapun, and S. Uatrongjit Biological systems drug infusion controller using FREN with sliding bounds IEEE Trans. Biomed. Eng. 53 11 2006 2405 2408
28. C. Treesatayapun, Nonlinear systems identification using multi input fuzzy rules emulated network, in: ITC-CSCC2006 International Technical Conference on Circuits/Systems, Computers and Communications, Chiangmai, Thailand, 1013 July 2006.
29. C. Treesatayapun The knowledge-based fuzzy rules emulated network and its applications on direct adaptive nonlinear control systems Int. J. Uncertainty, Fuzziness Knowledge-Based Syst. 13 December 2005 213 226
30. C. Treesatayapun, and S. Uatrongjit Controlling chaos by hybrid system based on FREN and sliding mode control ASME J. Dyn. Syst. Meas. Control 128 2 2006 352 358 (Pubitemid 44085551)
31. K.L. Johnson Contact Mechanics 1985 Cambridge University Press Cambridge
32. K. Kendall, and D. Tabor An ultrasonic study of the area of contact between stationary and sliding surfaces Proc. R. Soc. Lond. A 323 1971 321 340
33. J. Armendariz, C. Treesatayapun, A. Baltazar, Development of an estimated force feedback controller based on Hertzian contact and ultrasound, in: IEEE Robotic and Sensors Environments, Phoenix, AZ, 2010.
34. J. Armendariz, A. Baltazar, C. Treesatayapun, Determination of surface mechanical properties using a hertzian contact and ultrasound sensor, in: IEEE International Ultrasonics Symposium, San Diego, CA, 2010.
35. Z. Huang, M. Lucas, and M.J. Adams A numerical and experimental study of the indentation mechanics of plasticine J. Strain Anal. 37 2 2002 141 150 (Pubitemid 35297868)
36. W.C. Oliver, and G.M. Pharr An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments J. Mater. Res. 70 6 1992 1564 1583
37. R.I. Jackman, A.G. Marangoni, and D.W. Stanley Measurements of tomato fruit Hortscience 25 7 1990 781 783
38. T.M. Kaloyannides Elasticity of elastometer impression materials: I. Measurements of Young modulus of elasticity and of the coefficient of elasticity J. Dent.Res. 54 1973 439 440