Control of the 2-degree-of-freedom servo system with iterative feedback tuning

In this article, the controller parameter tuning method of a large inertia 2-degree-of-freedom motion mechanism is presented. The proportional–integral controller is adopted to implement the system control. For the reason of load coupling of the two freedoms, fixed proportional–integral parameters cannot always get satisfied control performance. Based on this problem, the iterative feedback tuning method is applied to tune the controller parameters. This method makes the system output error decrease along the negative gradient direction, and the system cost function will reach local minimum after a few iterations. In order to improve the convergence speed of the iterative process, a gold ratio–based method is proposed to speed up the convergence of the iteration process. The simulation and comparison experiments are performed on the azimuth freedom, and the results show that the iterative feedback tuning method can achieve much higher control performance compared to classical tuning method, and it has the similar effect to the adaptive robust method.

[1]  T.H. Lee,et al.  Iterative Feedback Tuning (IFT) of Hard Disk Drive Head Positioning Servomechanism , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[2]  H. Prochazka,et al.  Iterative Feedback Tuning for robust controller design and optimization , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[3]  Michel Gevers,et al.  Prefiltering in iterative feedback tuning: optimization of the prefilter for accuracy , 2004, IEEE Transactions on Automatic Control.

[4]  B. Codrons,et al.  Iterative feedback tuning of a nonlinear controller for an inverted pendulum with a flexible transmission , 1998, Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104).

[5]  Michel Gevers,et al.  Optimizing the settling time with iterative feedback tuning , 1999 .

[6]  Brian D. O. Anderson,et al.  Iterative Controller Optimization for Nonlinear Systems , 2003 .

[7]  Håkan Hjalmarsson,et al.  Tuning for robustness and performance using iterative feedback tuning , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[8]  Håkan Hjalmarsson,et al.  Control of nonlinear systems using iterative feedback tuning , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[9]  H. Hjalmarsson Efficient tuning of linear multivariable controllers using iterative feedback tuning , 1999 .

[10]  A. J. McDaid,et al.  Control of IPMC Actuators for Microfluidics With Adaptive “Online” Iterative Feedback Tuning , 2012, IEEE/ASME Transactions on Mechatronics.

[11]  Huijun Gao,et al.  Adaptive Backstepping Control for Active Suspension Systems With Hard Constraints , 2013, IEEE/ASME Transactions on Mechatronics.

[12]  Mohammad Saleh Tavazoei,et al.  A new view to Ziegler–Nichols step response tuning method: Analytic non-fragility justification , 2013 .

[13]  N. K. Poulsen,et al.  Improving Convergence of Iterative Feedback Tuning , 2009 .

[14]  S. Kissling,et al.  Application of iterative feedback tuning (IFT) to speed and position control of a servo drive , 2009 .

[15]  L.C. Kammer,et al.  Iterative feedback tuning via minimization of the absolute error , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[16]  J. Sjöberg,et al.  On a Nonlinear Controller Tuning Strategy , 1999 .

[17]  Xin Fu,et al.  APPLICATION OF ITERATIVE FEEDBACK TUNING IN DC MAIN DRIVER SYSTEM , 2006 .

[18]  Zongxia Jiao,et al.  RISE-Based Precision Motion Control of DC Motors With Continuous Friction Compensation , 2014, IEEE Transactions on Industrial Electronics.

[19]  Svante Gunnarsson,et al.  Iterative feedback tuning: theory and applications , 1998 .

[20]  S. Gunnarsson,et al.  A convergent iterative restricted complexity control design scheme , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[21]  Zongxia Jiao,et al.  Adaptive Robust Control of DC Motors With Extended State Observer , 2014, IEEE Transactions on Industrial Electronics.

[22]  Rong-Fong Fung,et al.  The self-tuning PID control in a slider–crank mechanism system by applying particle swarm optimization approach , 2006 .

[23]  Håkan Hjalmarsson,et al.  Iterative feedback tuning of linear time-invariant MIMO systems , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[24]  Bo Wahlberg,et al.  Application of Iterative Feedback Tuning to a Thermal Cycling Module , 1999 .

[25]  Zongxia Jiao,et al.  Output Feedback Robust Control of Direct Current Motors With Nonlinear Friction Compensation and Disturbance Rejection , 2015 .

[26]  Magnus Mossberg,et al.  Iterative feedback tuning of PID parameters: comparison with classical tuning rules , 2003 .

[27]  焦宗夏,et al.  Output feedback robust control of DC motors with nonlinear friction compensation and disturbance rejection , 2015 .

[28]  Håkan Hjalmarsson,et al.  Iterative feedback tuning—an overview , 2002 .

[29]  T. Fukuda,et al.  Iterative feedback tuning of controllers for a two-mass-spring system with friction , 2003 .

[30]  A. E. Graham,et al.  Rapid tuning of controllers by IFT for profile cutting machines , 2007 .