Research On Temperature Control Of Liquid Organic Hydrogen Storage System

The storage and transportation of hydrogen is a key issue that restricts the development of hydrogen storage.In this paper,liquid organic is used as a carrier,and hydrogen and organic liquid are mixed into the hydrogenation reactor for hydrogenation reaction to complete the effective storage of hydrogen.In order to achieve efficient storage of hydrogen,an important condition for the hydrogenation reaction is to ensure that the reaction temperature is controlled within a suitable range.At the same time,the realization of automatic control of reaction temperature is also the key to ensure chemical safety and economic production.In this paper,based on the actual hydrogen storage energy project,on the basis of the existing hydrogenation reactor temperature control,in order to realize the automatic control of reaction temperature,the system modeling and control algorithm are deeply studied.System modeling is the key to realize the control system design and control optimization.The reaction temperature control of the hydrogenation reactor in the project is completed by heat exchange between the oil bath in the outer jacket and the inside of the reactor.Therefore,to achieve automatic control of the reactor temperature,it is a key step to effectively establish a mathematical model relationship between the temperature of the jacket oil bath and the temperature inside the reactor.Combined with the actual engineering project,the mathematical model was established by using the "grey box method" modeling and experimental methods.The "grey box method" first analyzes the heat transfer model of the jacket working medium into the reactor,and establishes the corresponding dynamic characteristic model structure in combination with the law of heat transfer and the law of conservation of energy,and then uses the chaotic quantum particles in combination with the historical historical operation data.The group algorithm optimizes the model parameters to obtain the mathematical model of the modeled object.Since it is difficult to generate a step for the jacket working temperature,the step response method cannot be directly used to identify the model.A step response test method for indirectly establishing the model is proposed.Finally,using the actual historical operation data,the validity of the model built by the indirect method is verified,which paves the way for the later control algorithm research.Variable-domain fuzzy PID control can improve the dynamic quality of the control system to a certain extent,but the control object with large change of model parameters will exceed its adjustment range,and the control effect obtained is not ideal.Aiming at the above problems,the model identification module is introduced in the variable universe fuzzy PID control structure.Because the variable domain fuzzy PID control itself has certain robustness,the accuracy of the identification model can be reduced,and the complexity of the identification algorithm can be reduced,making online identification easy to implement.Then based on the identification model,the chaotic quantum particle swarm optimization algorithm is used to optimize and update the PID basic control parameters kp0,ki0 and kd0 to realize the coarse adjustment of the control parameters,and the coarse adjustment quantities kp0,ki0 and kd0 and fine adjustment of the fuzzy control module.The ?kp,?ki and Akd are superimposed to obtain real-time PID parameters kp,ki and kd.The improved fuzzy PID control algorithm is applied to the temperature control of the hydrogenation reactor,and the simulation is carried out by using MATLAB.It can be seen from the simulation results that the improved fuzzy PID algorithm makes the control system have stability,rapidity and accuracy.Significantly improved,dynamic quality improved.