Simple online smooth trajectory generations for industrial systems

Online smooth trajectory generation for industrial mechatronic system is addressed in this paper. Two modified nonlinear tracking differentiators are proposed to generate the smooth trajectory from a rough reference (step and ramp, etc.), with bounded velocity and acceleration. Computer simulations performed on a mechanical system affected by nonlinear dynamic friction demonstrate the effectiveness and the improved performance of the proposed approaches.

[1]  Aurelio Piazzi,et al.  Global minimum-jerk trajectory planning of robot manipulators , 2000, IEEE Trans. Ind. Electron..

[2]  Corrado Guarino Lo Bianco,et al.  Nonlinear filters for the generation of smooth trajectories , 2000, Autom..

[3]  Darren M. Dawson,et al.  Tracking control of mechanical systems in the presence of nonlinear dynamic friction effects , 1999, IEEE Trans. Control. Syst. Technol..

[4]  S. Macfarlane,et al.  Design of jerk bounded trajectories for online industrial robot applications , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[5]  Aurelio Piazzi,et al.  Optimal noncausal set-point regulation of scalar systems , 2001, Autom..

[6]  Rene de Jesus Romero-Troncoso,et al.  Computationally efficient parametric analysis of discrete-time polynomial based acceleration-deceleration profile generation for industrial robotics and CNC machinery , 2007 .

[7]  Jae Wook Jeon,et al.  A generalized approach for the acceleration and deceleration of industrial robots and CNC machine tools , 2000, IEEE Trans. Ind. Electron..

[8]  Matthew R. James,et al.  Closed-loop trajectory generation for robust time-optimal path tracking , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[9]  Jan Swevers,et al.  Comparison of two feedforward design methods aiming at accurate trajectory tracking of the end point of a flexible robot arm , 1998, IEEE Trans. Control. Syst. Technol..

[10]  Simon X. Yang,et al.  A simple hybrid fuzzy PD controller , 2004 .

[11]  Aurelio Piazzi,et al.  Minimum-time trajectory planning of mechanical manipulators under dynamic constraints , 2002 .

[12]  Giuseppe Oriolo,et al.  A sensitivity approach to optimal spline robot trajectories , 1988, Autom..

[13]  Bertrand Tondu,et al.  Minimum time on-line joint trajectory generator based on low order spline method for industrial manipulators , 1999, Robotics Auton. Syst..

[14]  B. Y. Duan,et al.  Auto disturbance rejection motion control for direct-drive motors , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[15]  B. Paden,et al.  Stable inversion for nonlinear nonminimum-phase time-varying systems , 1998, IEEE Trans. Autom. Control..

[16]  Kok Kiong Tan,et al.  Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller , 2001 .

[17]  Qingze Zou,et al.  Preview-based optimal inversion for output tracking: application to scanning tunneling microscopy , 2004, IEEE Transactions on Control Systems Technology.

[18]  O. Dahl,et al.  Path-constrained robot control with limited torques-experimental evaluation , 1993, IEEE Trans. Robotics Autom..

[19]  M Maarten Steinbuch,et al.  Trajectory planning and feedforward design for electromechanical motion systems , 2005 .

[20]  Jae Wook Jeon,et al.  FPGA based acceleration and deceleration circuit for industrial robots and CNC machine tools , 2002 .

[21]  J. Han,et al.  NONLINEAR TRACKING-DIFFERENTIATOR , 1994 .

[22]  Han Jing,et al.  From PID Technique to Active Disturbances Rejection Control Technique , 2002 .

[23]  Roberto Zanasi,et al.  Positioning trajectory generator with nonlinear constraints , 2002, Proceedings of the International Conference on Control Applications.

[24]  E. Croft,et al.  Smooth and time-optimal trajectory planning for industrial manipulators along specified paths , 2000 .

[25]  George W. Irwin,et al.  Time-optimal and smooth constrained path planning for robot manipulators , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.