| With the constant improvement of industrial efficiency, the belt conveyer takes as the main equipment of bulk solid transportation that is developing to the high power, large-capacity and long-distance. The hydro-viscous controllable transmission technology is one of key technology for the development of the newly high power belt conveyer. The research of controlled start technology, control strategy and implementation technology of the hydro-viscous controllable transmission system has the important theoretical research sense and practical application value to the development application of liquid viscous transmission theory and the development of large belt conveyor based on liquid viscous transmission technology.The force of internal friction disk of the hydro-viscous controllable transmission device is analyzed based on working mechanism of belt conveyor hydro-viscous controllable transmission system, the force equilibrium equation is built, and the acceleration transfer function is obtained by the method of increment linearization at the working point. The model is checked by trial run datum. The increment PID controller is designed and the simulation experiment is made.The design demands of generalized predictive control parameters for the hydro-viscous controllable transmission system are proposed based on the research and learn of generalized predictive control theory, and the predictive controller of hydro-viscous controllable transmission system is designed. Aiming to the problem of modeling difficult for non-linear system, the control method is proposed, which integrated the fuzzy and predictive control. The Mamdani fuzzy model is built based on max-min algorithm according to the expert knowledge, operating experience and field data. The structure of fuzzy model is analyzed by fuzzy input variables and the predictive model is built. The multi-step predictive model is deduced based on one-step predictive model, the predictive control is implemented and the simulation experiment is made. The method of fuzzy neural network control for hydro-viscous controllable transmission system is researched. The control research that combined fuzzy control with neural network control is made based on designing and analyzing the fuzzy control of hydro-viscous controllable transmission system. The membership functions are initialized by the C-means clustering method. The fuzzy rules are extracted and simplified based on the maximum of weight matrix. The membership functions are optimized and adjusted by the genetic algorithm. The structure and algorithm of fuzzy neural network controller for hydro-viscous controllable transmission system are determined through learning sample datum and extracting control rules. And the simulation research is made.By taking the developing 300kw hydro-viscous controllable transmission system as the research object, the control simulation researches of non-load and full load starting are made, which applies the PID control, generalized predictive control, fuzzy predictive control, fuzzy control and fuzzy neural network control respectively. And the fuzzy neural network controller is optimal through comparative analysis of control effect. |
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