Oily sewage treatment process optimal control method based on adaptive multi-objective particle swarm

The invention relates to an oily sewage treatment process optimal control method based on an adaptive multi-objective particle swarm. The problems that precocious convergence and low search precisionof a standard particle swarm optimization are prone to appearing in the prior art are mainly solved. The oily sewage treatment process optimal control method based on the adaptive multi-objective particle swarm includes the steps that firstly, optimized set values of dissolved oxygen and nitrate nitrogen and objective functions of aeration energy consumption and pumping energy consumption in the oily sewage treatment process are established through a fuzzy neural network; secondly, an adaptive multi-objective particle swarm optimization method is adopted to optimize an oily sewage treatment objective function, and meanwhile, the optimized set values of the dissolved oxygen and the nitrate nitrogen are obtained; and finally, the optimized set values of the dissolved oxygen and the nitrate nitrogen are tracked and c