Optimal Design and Simulation for the Intelligent Control of Sewage Treatment Based on Multi-Objective Particle Swarm Optimization

With the continuous increase in emphasis on environmental protection industry, sewage treatment plants have been built many places, and these undoubtedly occupy an important position protecting local environment. The process is generally complicated environment difficult, which means that plant must excellent control system. At this stage, systems cities issue of possessing backward technology huge costs, hinder development urban treatment. In paper, a new intelligent method for proposed, combined with multi-objective particle swarm optimization (MOPSO) algorithm. MOPSO algorithm used to optimize parameters rules controller globally, thereby improving performance work efficiency controller. Practice has shown system can make chemical oxygen demand (COD) quickly meet expected requirements, accuracy also very accurate, greatly improves performance. Through our calculations, improved by 7.15%.