关键词: 焦炉集气管, 梯级协调, 多智能体, 强化学习, TS回归模糊神经网络

Abstract: For the multi-variable nonlinear coupled system with strong disturbance such as the gas pressure of collectors of coke ovens,this paper proposes an intelligent multi-level coordinated control strategy based on multi-agent system.It adopts the multi-level coordination architecture with agent agency and the organization and evolution mechanism based on task decomposition.The system can be switched to different modes using the state change of agents in order to operate in rapidly time-varying environments.The reinforcement learning method is used in Agent learning,the TS type recurrent fuzzy neural network(TSRFNN) is employed to realize the actor-critic elements.The agents in system are optimized coordinately by using the distributed learning algorithm.The real-world application shows that the proposed control strategy has successfully solved the process coordination control problem of the gas pressure of collectors of coke ovens with the strong disturbance produced by high pressure ammonia.

Key words: gas collectors of coke ovens, cascade coordination, multi-Agent system, reinforcement learning, TS recurrent fuzzy neural network