TY - GEN
T1 - Synchronization control for a crustal movement simulation system based on a fuzzy logic strategy
AU - Ma, Qingzeng
AU - Li, En
AU - Xia, Yuanqing
AU - Liang, Zize
N1 - Publisher Copyright:
© 2017 Technical Committee on Control Theory, CAA.
PY - 2017/9/7
Y1 - 2017/9/7
N2 - Crustal movement is a key factor affecting water cycle and related land surface processes. In this paper, the principle of a class of crustal movement simulation system (CMSS) is introduced. The CMSS proposed in this study is composed of twelve sets of four-legged parallel manipulator with three degrees of freedom. The structure of the parallel manipulator with actuation redundancy is analyzed. In the conventional controller design for parallel manipulator, the controller for each kinematic chain usually works independently without considering motion states of other kinematic chains. Therefore, the platform performance is easily deteriorated duo to the lack of coordination between these kinematic chains. In this paper, a synchronization error is developed based on the mechanism characteristic of multiple kinematic chains. Then, a synchronization controller is designed using the proposed synchronization error and fuzzy logic strategy. In our design, each kinematic chain not only tracks its own desired trajectory, but also cooperates with other kinematic chains. Therefore, according to synchronization error, the synchronization controller will determine that which chain should be speeded up or slowed down. Experimental results demonstrate the performance of the proposed control scheme in terms of tracking accuracy and robustness to interferences.
AB - Crustal movement is a key factor affecting water cycle and related land surface processes. In this paper, the principle of a class of crustal movement simulation system (CMSS) is introduced. The CMSS proposed in this study is composed of twelve sets of four-legged parallel manipulator with three degrees of freedom. The structure of the parallel manipulator with actuation redundancy is analyzed. In the conventional controller design for parallel manipulator, the controller for each kinematic chain usually works independently without considering motion states of other kinematic chains. Therefore, the platform performance is easily deteriorated duo to the lack of coordination between these kinematic chains. In this paper, a synchronization error is developed based on the mechanism characteristic of multiple kinematic chains. Then, a synchronization controller is designed using the proposed synchronization error and fuzzy logic strategy. In our design, each kinematic chain not only tracks its own desired trajectory, but also cooperates with other kinematic chains. Therefore, according to synchronization error, the synchronization controller will determine that which chain should be speeded up or slowed down. Experimental results demonstrate the performance of the proposed control scheme in terms of tracking accuracy and robustness to interferences.
KW - Crustal Movement
KW - Fuzzy Logic
KW - Parallel Manipulator
KW - Synchronization Control
UR - http://www.scopus.com/inward/record.url?scp=85032231235&partnerID=8YFLogxK
U2 - 10.23919/ChiCC.2017.8028378
DO - 10.23919/ChiCC.2017.8028378
M3 - Conference contribution
AN - SCOPUS:85032231235
T3 - Chinese Control Conference, CCC
SP - 6428
EP - 6433
BT - Proceedings of the 36th Chinese Control Conference, CCC 2017
A2 - Liu, Tao
A2 - Zhao, Qianchuan
PB - IEEE Computer Society
T2 - 36th Chinese Control Conference, CCC 2017
Y2 - 26 July 2017 through 28 July 2017
ER -