Nonlinear system analysis and control of electrical intelligent control platform based on automatic control principles

In recent years, intelligent control has realized rapid development in the field of electrical engineering, the article initially studied the principle of electrical intelligent control, accordingly built the electrical intelligent control system, and designed the system hardware, the system module is divided into the main control module, the expansion module, the digital input and output module and the mounting rail.Based on the working principle of fuzzy control, design the software of the electrical intelligent control system, and optimize the traditional fuzzy controller by using fuzzy adaptive hybrid genetic algorithm, so as to improve the fuzzy control accuracy of the electrical intelligent control system in this paper.The electrical control system of this paper is applied to greenhouse greenhouse temperature and humidity control, substation air conditioning energy consumption control and subway station illumination control, and the control effect of the electrical intelligent control system of this paper is known through three experimental data.The system of this paper can effectively deal with the dissimilar data in the greenhouse temperature control experiment.Under the steady state environment, the temperature deviation of this paper's fuzzy control method and conventional single structure fuzzy control is within 0.1 and 1 respectively, and the humidity deviation is within 5%RH and 10%RH respectively.Obviously, the fuzzy control method in this paper has higher control accuracy.In the substation air conditioning energy consumption experiment, the annual power consumption of this paper's electrical intelligent control system and the traditional ventilation and air conditioning system are 32,660 degrees and 45,620 degrees, respectively.The electrical intelligent control system in this paper can save 22,000 yuan per year.The output illuminance of the subway station of the fuzzy control system in this paper increases with the comfort of the light environment and the density of the crowd, which achieves the expected effect.