Distributed Cooperative Control Based on Dynamic Following Interaction Mechanism for UUV Swarm

Author(s):  
Hongtao Liang ◽  
Ning Qiang
2020 ◽  
Vol 53 (2) ◽  
pp. 7891-7896
Author(s):  
Carlos J. Vega ◽  
Larbi Djilali ◽  
Edgar N. Sanchez

Author(s):  
Xiang Liu ◽  
Xiaogeng Liang

To solve the multi-interceptor coordination problem and to intercept the target with impact angle constraint, a novel distributed cooperative control algorithm with impact angle constraint based on integrated guidance and control is proposed. First, the mathematic model of integrated guidance and control is established by combining the interceptor-target relative motion model with the dynamic equation of the interceptor on pitch plane. The time varying gain extended state observer is developed to estimate and compensate the unknown disturbance. Based on the estimated value and fast nonsingular dynamic surface sliding control method, the IGC algorithm of leader is given; Then, based on distributed cooperative "leader-follower" model, the cooperative control strategy of multi-interceptor is designed, and gives out speeds in two directions on pitch plane, which are transformed to the command of total velocity and trajectory angle based on kinematic relations. Finally, to control the follower, the time varying gain extended state observer and the dynamic surface sliding control method are adopted. The simulation results demonstrate the effectiveness of the distributed cooperative control algorithm.


2018 ◽  
Vol 167 ◽  
pp. 02001
Author(s):  
Sauro J Yague ◽  
Guillermo Reyes Carmenaty ◽  
Alejandro Rolán Blanco ◽  
Aurelio García Cerrada

This paper describes the design and simulation of a distributed cooperative control algorithm based on multi-agents to synchronize a group of stepper motors. Modeling of the two-phase hybrid stepper motor in closed loop is derived in {d - q} rotary reference frame, based on field-oriented control techniques to provide torque control. The simulation obtained by MATLAB-Simulink shows that the distributed cooperative control effectiveness depends on the network topology defined by the graph.


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