Distributed Cooperative Control for Adaptive Performance Management

2007 ◽  
Vol 11 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Mianyu Wang ◽  
Nagarajan Kandasamy ◽  
Allon Guez ◽  
Moshe Kam
Keyword(s):  
Performance Management ◽  
Cooperative Control ◽  
Adaptive Performance ◽  
Distributed Cooperative Control

scholarly journals Secondary Control of Microgrids via Neural Inverse Optimal Distributed Cooperative Control

2020 ◽  
Vol 53 (2) ◽  
pp. 7891-7896
Author(s):  
Carlos J. Vega ◽  
Larbi Djilali ◽  
Edgar N. Sanchez
Keyword(s):  
Cooperative Control ◽  
Secondary Control ◽  
Distributed Cooperative Control

scholarly journals Integrated Guidance and Control of Multiple Interceptors with Impact Angle Constraints Considered

2019 ◽  
Vol 37 (2) ◽  
pp. 273-282
Author(s):  
Xiang Liu ◽  
Xiaogeng Liang
Keyword(s):  
Cooperative Control ◽  
Control Algorithm ◽  
Control Method ◽  
Impact Angle ◽  
Dynamic Surface ◽  
Guidance And Control ◽  
Integrated Guidance And Control ◽  
And Control ◽  
Impact Angle Constraint ◽  
Distributed Cooperative Control

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.

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