TY - JOUR
T1 - Control of the 2-degree-of-freedom servo system with iterative feedback tuning
AU - Zhao, Jiangbo
AU - Feng, Wei
AU - Wang, Junzheng
N1 - Publisher Copyright:
© IMechE 2015.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - 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.
AB - 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.
KW - Iterative feedback tuning
KW - local minimum
KW - the 2-degree-of-freedom servo system
KW - variable load
UR - http://www.scopus.com/inward/record.url?scp=84955466632&partnerID=8YFLogxK
U2 - 10.1177/0959651815618090
DO - 10.1177/0959651815618090
M3 - Review article
AN - SCOPUS:84955466632
SN - 0959-6518
VL - 230
SP - 197
EP - 207
JO - Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
JF - Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
IS - 2
ER -