Multi-rate Distributed Predictive Control and Its Application to Looper Control System of Hot Strip Rolling
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摘要: 多智能体协调控制系统更适合采用分布式控制方式，但是处理智能体之间的耦合影响是分布式控制的一个难点.本文针对串联结构下的多智能体系统，提出一类多速率分布式预测控制策略，异步更新多智能体的控制律，能够充分考虑智能体之间的耦合影响，提高系统的稳定性，并给出了系统稳定的充分条件.最后，将多速率分布式控制算法应用到热连轧活套系统，仿真验证了方法的有效性和可行性.Abstract: Distributed model predictive control strategy is more suitable for dealing with multi-agent cooperative control systems. However the coupling effects among multiple agents are still a difficult point. In the paper, a multi-rate distributed model predictive control strategy is proposed for series structural systems, in which all the controllers of agents can be updated asynchronously and the coupling effects are fully taken into account to improve stability. Furthermore, a sufficient condition for the stability is generated. Finally, the control strategy is applied into a looper control system of hot strip rolling and simulation results show its feasibility and effectiveness.
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Key words:
- Distributed model predictive control /
- multi-rate /
- looper system /
- multi-agent
1) 本文责任编委 阳春华 -
图 3 控制器同步更新与异步更新比较
Fig. 3 The comparison between simultaneous control and asynchronous control
图 4 快采样更新与异步更新比较
Fig. 4 The comparison between fast-sample control and asynchronous control
图 5 扰动情况下快采样更新与异步更新比较
Fig. 5 The comparison between fast-sample control and asynchronous control with disturbance
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