Finite-Time Control Of Saturated Multi-Agent Systems And Its Applications In Energy Systems

The performance of energy systems is a key factor in supporting the long-term operation of solar-powered near-space vehicles.In order to meet the requirements of the spatial distribution and the weight limitation,a new swarm energy structure of power system is utilized,which brings new challenges to energy management.In this thesis,the cooperative control of energy systems is investigated by resorting to the multi-agent systems theory,including the finite-time consensus problem of saturated multi-agent systems.Based on this,the control protocols are designed for load voltage regulation and energy storage balance of energy systems.Firstly,the finite-time consensus issues of double integrator and neutral stable multi-agent systems with saturation constraints are investigated.The distributed control protocols are designed for multi-agent systems for leaderless and leader-following cases respectively.The prior saturation constraints and two-step analysis method are used in the analysis of the closed-loop system.Then the finite-time control problem of multiagent systems with antagonistic agents is also discussed.The quasi-containment control concept is introduced,and the inner and outer states are adopted to characterize the behavior of the antagonistic agents.Secondly,by modeling the swarm energy system for solar-powered aerial vehicles as a multi-agent system,the distributed control protocols are developed to solve the issues of simultaneous energy storage balance and load voltage regulation.The output power constraints on distributed generations are taken into account and the cycling among batteries is avoided.Furthermore,the proposed controller operates without any specific knowledge about the global information and communication topology of the system.Thirdly,to extend the above results to the energy system with different load types,a new control protocol is designed.It preserves the desired advantages and provides the finite-time convergence of load voltage regulation and energy storage balance.The effectiveness of the proposed control protocol is demonstrated for the power system with constant resistance-current-power(ZIP)loads.Next,the event-triggered energy storage balancing control protocol is suggested by taking communication constraints into account in the distributed control,which can make the energy system with saturation constraints realize finite-time balance of energy storage units.The triggering time is independently determined by the agent using only local information,and the state information is broadcasted to neighbors for updating.It is proved that the Zeno phenomenon can be eliminated.Finally,a swarm energy system experimented platform with multiple power nodes is conducted.By simulating the actual power of photovoltaic cells and load,different operational environments are constructed to verify the effectiveness of the proposed control protocol in this thesis.