Integrated Intelligent Control Methods In Omethoate Synthetic Reaction Process And Application

As a great population country, agriculture is the base of national economy of China and has great relation with our country's stability and development. Pesticide is one of the main influencing elements on agriculture stability and high production. Production level and quantity of pesticide have great influence on our agriculture, then on the total national economy. To improve the technique level and production quality of pesticide production, it is very necessary to rebuild the traditional pesticide production precess. Omethod composition process as the research object, this paper researches the intelligent control methods during the Omethod composition process, and develops an Omethod composition procedure integrated intelligent control system that has been used in practice.The technique flow of Omethod composition is introduced, and the reaction features and the subject model of Omethod composition are analyzed in detail. It is shown that Omethod composition reaction has the following characteristics: multi-variable, non-linear, time-changing, and complex disturbance. The influencing elements during Omethod composition procedure are analyzed from system measureable and non-measureable aspects. Furthermore, Omethod composition procedure system identification based on neural network is introduced. To the greatest influence element, temperature, during Omethod composition, a BP network is adopted to identify the temperature in the composition reaction. In order to overcome the shortcoming of static BP network in identifying the dynamic system parameters, a segmental BP network and recursive network composed of static BP and TDL are used to dynamically identify the temperature parameter. The identification results of BP Network, segmental BP network and recursive network are compared and analyzed.According to the complex features during the Omethod composition, the corresponding intelligent control approaches are studied as the total design base of the Omethod composition reaction integrated intelligent control system. Due to the features of nonlinear, big lag, for the temperature control in Omethod composition, a parameter feedback fuzzy controller is designed and the controller performance is simulated.Due to the features of nonlinear, time changing, recursive genetic algorithm is advanced which can design the network structure and weights automatically. For the existing problems in fuzzy neural network application, the neural network controller structure and algorithm based on fuzzy compensation operator are proposed. Neural network based on recursive genetic algorithm is adopted to identify the temperature during Omethod composition procedure. Combining the neural network identifier with the recursive fuzzy neural network construct a temperature intelligent control system. The control quality of the intelligent system is tested through simulation.Due to Omethod composition being an intermission process, based on the principle of iterative learning control, the forecasting thought is introduced in the iterative learning control, and an improved iterative learning algorithm is put forward. Combining the fuzzy model identification technique, forecasting control and iterative learning control, an iterative learning controller based on the fuzzy forecasting is designed. Taking the temperature during the Omethod composition as the controlled object, the control quality of this controller is simulated.According to the amic sum input, the Omethod composition procedure can be divided into four phases: initial reaction phase, temperature increasing phase, stable reaction phase and end phase. According to the different features in different phases, the intelligent control algorithms discussed in former chapters are used to construct the integrated intelligent control system. A total integrated intelligent control system for Omethod composition is developed actually and it's main function includes control system signal processing, control system fault diagnosis, system software design, etc. Two integrated intelligent control systems of Omethod composition have been used in the two pesticide branch plants of Zhengzhou Sha-Long-Da pesticide limited firm. Working effect shows that this system has high technique, eccellent performance and stable working since 2003. It has obtained obvious social and economic benefits.