System Structure Decomposition Based On Genetic Immune Algorithm And Its Application In Distributed MPC

With the continuous development of today's industrial processes,the emergence of large-scale,complex systems has promoted an effective solution to the problem of large system control-distributed model predictive control(DMPC)came into being.DMPC has the advantages of low computational burden,strong fault tolerance,and high scalability.The design idea of the DMPC algorithm is mainly to ensure the stability of the system,using a simple system communication method and less communication burden to achieve optimal control performance.This article focuses on the dismantling method of the DMPC system and the improvement of the DMPC algorithm.The main work is as follows:When the structure of DMPC system is disassembled,the traditional method based on static coupling cannot be applied because of the dynamic coupling between subsystems.This paper proposes a genetic immune optimization algorithm(PSO-IGA)based on particle swarm optimization.In this method,the particle evolution equation in the particle swarm optimization algorithm is used to introduce the antibody mutation operation of IGA immune selection,so that the antibody has both "position" and "speed" attributes,so that the antibody has a clearer search direction when updating,Thus,while ensuring the diversity of antibody populations,the convergence speed of the algorithm is further improved.A structure decomposition method of DMPC system based on IGA is proposed.In this method,the problem of structural decomposition of the DMPC system is first divided into two stages: input clustering decomposition(ICD)and input-output pairing decomposition(IOPD),and PSO-IGA is used to optimize the objective functions of these two stages.A large system is decomposed into several subsystems according to the input and output coupling effects.This method is introduced into the cooperative DMPC algorithm,and a DMPC algorithm based on the structure decomposition of the IGA system is proposed,and the decomposed large system adopts the cooperative DMPC algorithm for distributed control under constraints.So as to effectively solve the problem of communication burden in DMPC.