An Improved Particle Swarm Optimization Based on Hormone Modulation Mechanism

Abstract

Abstract The manufacture of polyacrylonitrile carbon fiber (PCF) contains a group of workshop technologies with very complexity. A pivotal technology is the coagulation of the PCN in production of fiber which has a great many arguments connecting with one another. In this paper, an PID neural networkregulate strategy with improved particle swarm optimization (PIDNNHPSO) on account of the endocrine hormone regulate theory of human body is presented, and used to the coagulation tank of PCF manufacture. Three crucial arguments including liquid high, temperature, concentration of water are extracted. Experimental consequences reveal that the PIDNNHPSO can promptly response to the alternating quantity of regulate arguments, perfectly cut down the coupling effect and make reposeful adjustion without fluctuation, which has a exceed property than traditional regulate programmes.