LQR Control Of Air Volume And Air Pressure Of Bag Filter

With the development of society,our country’s demand for energy is increasing year by year,dust and other emissions are increasing,and the environmental problems are becoming increasingly prominent.As the key equipment to control industrial dust emissions,bag filter is widely used in various industries.Air volume and air pressure are the two most sensitive parameters in the normal operation of the bag filter,which directly affect the efficiency and processing capacity.In addition,due to the wide operating conditions caused by the structure and flow characteristics of the bag filter,the accuracy and stability control of air volume and air pressure has become the key to ensuring good operating conditions.To solve this problem,the optimization control of air volume and air pressure of bag filter is studied in this paper.1.In this paper,the control status of the bag filter was analyzed,and the LQR control method was used to optimize the air volume and air pressure to improve the control in the practical engineering application.2.A 1: 1 core bag filter experimental device was designed.The hardware and software design and construction of the measurement and control system was completed.Based on the experimental platform of bag filter,two sets of experiments were designed to obtain the response curve of air volume and air pressure.According to the experimental data,the state space method was used to build the model of the control system of the air volume and air pressure,and the genetic algorithm was used to optimize the unknown parameters of the model.3.Based on the constructed state space model,a LQR controller was designed.The weighted matrix Q and R were obtained by trial and error method,and the feedback matrix K was obtained.One the basis of the above studies,the correctness and effectiveness of the LQR control method are verified by simulation,which lays a foundation to improve the efficiency of the large bag filter.