Abstract: Aimed at the problems such as how to determine the optimal setting value of key variables in the process of optimizing control of wastewater treatment process (WWTP) to achieve the standard of effluent water quality and at the same time toreduce the energy consumption (EC) as much as possible, a multi-objective optimizing control method is proposed based on improved multi-objective cuckoo search algorithm (IMOCS). First, theEC and EQ models are presented based on neural network and analysis of wastewater treatment process. Then, both the EC and EQ models are simultaneously optimized by means of improved multi-objective cuckoo search algorithm and the optimal setting values of concentration of dissolved oxygen(DO) and nitrate-level nitrogen are obtained. Finally, the PID controller is chosen to conduct the tracing control of the optimal setting value, so that the multi-objective optimizing control of WWTP is achieved. Based on the international benchmark simulation platform No.1, and compared with other methods, it is shown that the proposed method can reduce EQ better in the process of sewage treatment and protect the environment, going on the premise of assuring the achievement of standard of the parameters of effluent water quality.

Key words: sewage treatment, optimizing control, benchmark simulation model, multi-objective cuckoo search algorithm