Integrated Mechanism Design and Control for Completely Restrained Hybrid-Driven Based Cable Parallel Manipulators
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Abstract
This paper deals with a methodology of simultaneous optimal design of mechanism and control for completely restrained hybrid-driven based cable parallel manipulators (HDCPM) in order to improve the dynamic performance of the HDCPM system. The HDCPM have the advantages of both the cable parallel manipulator and the hybrid-driven planar five-bar mechanism (HDPM). Kinematics and dynamics of the HDCPM are studied based on closed loop vector, geometric characteristic of mechanism and Lagrange method separately. Following that the integrated optimization model is established based on mechanics analysis and optimum control performance, and a genetic algorithm is used to carry out the optimization solution. As an example, separated optimization design and integrated optimization design for the completely restrained HDCPM with 3 Degrees of Freedom are comparatively investigated on the basis of the above design objectives. Simulation results illustrate that the dynamic performance of the HDCPM system can be significantly improved after integrated optimization design.
Keywords
Hybrid-driven based cable parallel manipulators Integrated optimization design Mechanics analysis Trajectory planning and controlPreview
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References
- 1.Luongo, A., Zulli, D.: Dynamic instability of inclined cables under combined wind flow and support motion. Nonlinear Dyn. 67(1), 71–87 (2012)CrossRefMathSciNetGoogle Scholar
- 2.Cárdenas, R.A., Viramontes, F.J.C., González, A.D., Ruiz, G.H.: Analysis for the optimal location of cable damping systems on stayed bridges. Nonlinear Dyn. 52(4), 347–359 (2008)CrossRefMATHGoogle Scholar
- 3.Alikhani, A., Behzadipour, S., Alasty, A., Vanini, S.A.S.: Design of a large-scale cable-driven robot with translational motion. Robot. Comput. Integr. Manuf. 27(2), 357–366 (2011)CrossRefGoogle Scholar
- 4.Zi, B., Zhu, Z.C., Du, J.L.: Analysis and control of the cable-supporting system including actuator dynamics. Control. Eng. Pract. 19(5), 491–501 (2011)CrossRefGoogle Scholar
- 5.Otis, M.J.-D., Perreault, S., Nguyen-Dang, T.-L., Lambert, P., Gouttefarde, M., Laurendeau, D., Gosselin, C.: Determination and management of cable interferences between two 6-DOF foot platforms in a cable-driven locomotion interface. IEEE Trans. Syst. Man Cybern. Syst. Hum. 39(3), 528–544 (2009)CrossRefGoogle Scholar
- 6.Shao, X.G., Zhu, Z.C., Wang, Q.G., Chen, P.C.Y., Zi, B., Cao, G.H.: Non-smooth dynamical analysis and experimental validation of the cable-suspended parallel manipulator. Proc. IME C J. Mech. Eng. Sci. (2012). doi: 10.1177/0954406211435585 Google Scholar
- 7.Duan, B.Y., Qiu, Y.Y., Zhang, F.S., Zi, B.: On design and experiment of the feed cable-suspended structure for super antenna. Mechatronics 19(4), 503–509 (2009)CrossRefGoogle Scholar
- 8.Pham, C.B., Yeo, S.H., Yang, G.L., Chen, I.-M.: Workspace analysis of fully restrained cable-driven manipulators. Robot. Auton. Syst. 57(9), 901–912 (2009)CrossRefGoogle Scholar
- 9.Lau, D., Oetomo, D., Halgamuge, S.K.: Wrench-closure workspace generation for cable driven parallel manipulators using a hybrid analytical-numerical approach. ASME J. Mech. Des. 133(7), 071004 (2011)CrossRefGoogle Scholar
- 10.Taniguchi, S., Kino, H., Ozawa, R., Ishibashi, R., Uemura, M., Kanaoka, K., Kawamura, S.: Inverse dynamics of human passive motion based on iterative learning control. IEEE Trans. Syst. Man Cybern. Syst. Hum. 42(2), 307–315 (2012)CrossRefGoogle Scholar
- 11.Lim, W.B., Yang, G., Yeo, S.H., Mustafa, S.K.: A generic force-closure analysis algorithm for cable-driven parallel manipulators. Mech. Mach. Theory 46(9), 1265–1275 (2011)CrossRefMATHGoogle Scholar
- 12.Baser, O., Konukseven, E.I.: Theoretical and experimental determination of capstan drive slip error. Mech. Mach. Theory 45(6), 815–827 (2010)CrossRefMATHGoogle Scholar
- 13.Kozak, K., Zhou, Q., Wang, J.: Static analysis of cable-driven manipulators with non-neglible cable mass. IEEE Trans. Robot. 22(3), 425–433 (2006)CrossRefGoogle Scholar
- 14.Fahham, H.R., Farid, M., Khooran, M.: Time optimal trajectory tracking of redundant planar cable-suspended robots considering both tension and velocity constraints. ASME J. Dyn. Syst. Meas. Control 133(1), 11004 (2011)CrossRefGoogle Scholar
- 15.Castelli, G., Ottaviano, E., González, A.: Analysis and simulation of a new Cartesian cable-suspended robot. Proc. IME C J. Mech. Eng. Sci. 224(8), 1717–1726 (2010)CrossRefGoogle Scholar
- 16.Gouttefarde, M., Daney, D., Merlet, J.-P.: Interval-analysis-based determination of the wrench-feasible workspace of parallel cable-driven robots. IEEE Trans. Robot. 27(1), 1–13 (2011)CrossRefGoogle Scholar
- 17.Hassan, M., Khajepour, A.: Analysis of bounded cable tensions in cable-actuated parallel manipulators. IEEE Trans. Robot. 27(5), 891–900 (2011)CrossRefGoogle Scholar
- 18.Leila, N., Amin, K.: Inverse dynamics of wire-actuated parallel manipulators with a constrainting linkage. Mech. Mach. Theory 42(9), 1103–1118 (2007)CrossRefMATHGoogle Scholar
- 19.Heyden, T., Woernle, C.: Dynamics and flatness-based control of a kinematically undetermined cable suspension manipulator. Multibody Syst. Dyn. 16(2), 155–177 (2006)CrossRefMATHMathSciNetGoogle Scholar
- 20.Oh, S.R., Agrawal, S.K.: Cable suspended planar robots with redundant cables: Controllers with positive tensions. IEEE Trans. Robot. 21(3), 457–465 (2005)CrossRefGoogle Scholar
- 21.Borgstrom, P.H., Borgstrom, N.P., Stealey, M.J., Jordan, B., Sukhatme, G.S., Batalin, M.A., Kaiser, W.J.: Design and implementation of NIMS3D, a 3-D cable robot for actuated sensing applications. IEEE Trans. Robot. 25(2), 325–338 (2009)CrossRefGoogle Scholar
- 22.Korayem, M.H., Tourajizadeh, H.: Maximum DLCC of spatial cable robot for a predefined trajectory within the workspace using closed loop optimal control approach. J. Intell. Robot. Syst. 63(1), 75–99 (2011)CrossRefGoogle Scholar
- 23.Gao, F., Liu, X.J., Gruver, W.A.: Performance evaluation of two-degree-of-freedom planar parallel robots. Mech. Mach. Theory 33(6), 661–668 (1998)CrossRefMATHMathSciNetGoogle Scholar
- 24.Wu, J., Wang, J.S., Wang, L.P.: A comparison study of two planar 2-DOF parallel mechanisms: one with 2-RRR and the other with 3-RRR structures. Robotica 28(6), 937–942 (2010)CrossRefGoogle Scholar
- 25.Boscariol, P., Zanotto, V.: Design of a controller for trajectory tracking for compliant mechanisms with effective vibration suppression. Robotica 30(1), 15–29 (2012)CrossRefGoogle Scholar
- 26.Du, R., Guo, W.Z.: The design of a new metal forming press with controllable mechanism. ASME J. Mech. Des. 125(3), 582–592 (2003)CrossRefMathSciNetGoogle Scholar
- 27.Cheng, L., Lin, Y., Hou, Z.G., Tan, M., Huang, J., Zhang, W.J.: Adaptive tracking control of hybrid machines: a closed-chain five-bar mechanism case. IEEE-ASME T. Mech. 16(6), 1155–1163 (2011)CrossRefGoogle Scholar
- 28.Zi, B., Cao, J.B., Zhu, Z.C.: Dynamic simulation of hybrid-driven planar five-bar parallel mechanism based on Simmechanics and tracking control. Int. J. Adv. Robot. Syst. 8(4), 28–33 (2011)Google Scholar
- 29.Wei, G.W., Dai, J.S.: Geometric and kinematic analysis of a seven-bar three-fixed-pivoted compound-joint mechanism. Mech. Mach. Theory 45(2), 170–184 (2010)CrossRefMATHGoogle Scholar
- 30.Ouyang, P.R., Li, Q., Zhang, W.J., Guo, L.S.: Design, modeling and control of a hybrid machine system. Mechatronics 14(10), 1197–1217 (2004)CrossRefGoogle Scholar
- 31.Ding, H.F., Huang, P., Zi, B., Kecskeméthy, A.: Automatic synthesis of kinematic structures of mechanisms and robots especially for those with complex structures. Appl. Math. Model. (2012). doi: 10.1016/j.apm.2012.01.043 Google Scholar
- 32.Zi, B., Cao, J.B.: Workspace analysis of a hybrid-driven cable parallel mechanism. Appl. Mech. Mater. 66–68, 802–806 (2011)CrossRefGoogle Scholar
- 33.Fonseca, I.M., Bainum, P.M., Lourencao, P.T.M.: Structural and control optimization of a space structure subjected to the gravity-gradient torque. Acta Astronaut. 51(10), 673–681 (2002)CrossRefGoogle Scholar
- 34.Klein, J., Spencer, S., Allington, J., Bobrow, J.E., Reinkensmeyer, D.J.: Optimization of a parallel shoulder mechanism to achieve a high-force, low-mass, robotic-arm exoskeleton. IEEE Trans. Robot. 26(4), 710–715 (2010)CrossRefGoogle Scholar
- 35.Gamage, L.B., de Silva, C.W., Campos, R.: Design evolution of mechatronic systems through modeling, on-line monitoring, and evolutionary optimization. Mechatronics 22(1), 83–94 (2012)CrossRefGoogle Scholar
- 36.Zha, X.F.: Optimal pose trajectory planning for robot manipulators. Mech. Mach. Theory 37(10), 1063–1086 (2002)CrossRefMATHMathSciNetGoogle Scholar
- 37.Porfirio, C.R., Odloak, D.: Optimizing model predictive control of an industrial distillation column. Control. Eng. Pract. 19(10), 1137–1146 (2011)CrossRefGoogle Scholar
- 38.Canfield, R.A., Meirovitch, L.: Integrated structural design and vibration suppression using independent modal control. AIAA J. 32(10), 2053–2060 (1994)CrossRefMATHGoogle Scholar
- 39.Zhang, W.J., Li, Q., Gou, L.S.: Integrated design of mechanical structure and control algorithm for a programmable four-bar linkage. IEEE-ASME T. Mech. 4(4), 354–362 (1999)CrossRefGoogle Scholar
- 40.Zhu, Y., Qiu, J.H., Tani, J.J., Urushiyama, Y., Hontani, Y.: Simultaneous optimization of structure and control for vibration suppression. ASME J. Vib. Acoust. 121(2), 237–243 (1999)CrossRefGoogle Scholar
- 41.Zhang, X.M.: Integrated optimal design of flexible mechanism and vibration control. Int. J. Mech. Sci. 46(11), 1607–1620 (2004)CrossRefMATHGoogle Scholar
- 42.Yan, H.S., Yan, G.J.: Integrated control and mechanism design for the variable input-speed servo four-bar linkages. Mechatronics 19(2), 274–285 (2009)CrossRefGoogle Scholar
- 43.Gogate, G.R., Matekar, S.B.: Optimum synthesis of motion generating four-bar mechanisms using alternate error functions. Mech. Mach. Theory 54, 41–61 (2012)CrossRefGoogle Scholar
- 44.Kaveh, A., Rahami, H.: Nonlinear analysis and optimal design of structures via force method and genetic algorithm. Comput. Struct. 84(12), 770–778 (2006)CrossRefGoogle Scholar
- 45.Fogel, D.B.: An introduction to simulated evolutionary optimization. IEEE Trans. Neural Netw. 5(1), 3–14 (1994)CrossRefGoogle Scholar
- 46.Masoud, Z.N., Nayfeh, A.H.: Sway reduction on container cranes using delayed feedback controller. Nonlinear Dyn. 34(3–4), 347–358 (2003)CrossRefMATHGoogle Scholar
- 47.Meza, J.L., Santibáñez, V., Soto, R., Llama, M.A.: Fuzzy self-tuning pid semiglobal regulator for robot manipulators. IEEE Trans. Ind. Electron. 59(6), 2709–2717 (2012)CrossRefGoogle Scholar
- 48.Khoury, G.M., Saad, M., Kanaan, H.Y., Asmar, C.: Fuzzy PID control of a five DOF robot arm. J. Intell. Robot. Syst. 40(3), 299–320 (2004)CrossRefGoogle Scholar
- 49.Godbolt, B., Vitzilaios, N.I., Lynch, A.F.: Experimental validation of a helicopter autopilot design using model-based PID control. J. Intell. Robot. Syst. 70(1–4), 385–399 (2013)CrossRefGoogle Scholar
- 50.Shiakolas, P.S., Koladiya, D., Kebrle, J.: On the optimum synthesis of six-bar linkages using differential evolution and the geometric centroid of precision positions technique. Mech. Mach. Theory 40(3), 319–335 (2005)CrossRefMATHGoogle Scholar
- 51.Ziegler, J.G., Nichols, N.B.: Optimum settings for automatic controllers. Trans. ASME 64, 759–768 (1942)Google Scholar
- 52.Loredo-Flores, A., Gonzalez-Galvan, E.J., Cervantes-Sanchez, J.J., Martinez-Soto, A.: Optimization of industrial, vision-based, intuitively generated robot point-allocating tasks using genetic algorithms. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 38(4), 600–608 (2008)CrossRefGoogle Scholar
- 53.Durillo, J.J., Nebro, A.J., Luna, F., Coello Coello, C.A., Alba, E.: Convergence speed in multi-objective metaheuristics: efficiency criteria and empirical study. Int. J. Numer. Methods Eng. 84(11), 1344–1375 (2010)CrossRefMATHGoogle Scholar
- 54.Kelaiaia, R., Company, O., Zaatri, A.: Multiobjective optimization of a linear Delta parallel robot. Mech. Mach. Theory 50, 159–178 (2012)CrossRefGoogle Scholar