posted on 2017-09-15, 15:52authored byDezong Zhao, Qingqing Ding, Shangmin Zhang, Chunwen Li, Richard Stobart
This paper investigates the codesign of remote speed control and network scheduling for motion coordination of multiple induction motors through a shared communication network. An integrated feedback scheduling algorithm is designed to allocate the optimal sampling period and priority to each control loop to optimize the global performance of a networked control system (NCS), while satisfying the constraints of stability and schedulability. A speed synchronization method is incorporated into the scheduling algorithm to improve the speed synchronization performance of multiple induction motors. The rational gain of the network speed controllers is calculated using the Lyapunov theorem and tuned online by fuzzy logic to guarantee the robustness against complicated variations on the communication network. Furthermore, a state predictor is designed to compensate the time delay which occurred in data transmission from the sensor to the controller, as a part of the networked controller. Simulation results support the effectiveness of the proposed control-and-scheduling codesign approach.
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Aeronautical and Automotive Engineering
Published in
Mathematical Problems in Engineering
Volume
2014
Citation
ZHAO, D. ... et al., 2014. Integrated feedback scheduling and control co-design for motion coordination of networked induction motor systems. Mathematical Problems in Engineering, DOI: 10.1155/2014/578569.
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Publication date
2014
Notes
This work was supported by the National Natural Science
Foundation of China under the Grant reference 61174068.