Research On The Control Algorithm For The Transportation Measurement And Aggregate Heating System Of The 360 Continuous Asphalt Mixing Equipment

With the increasing promotion of quality engineering and energy conservation and emission reduction in China,the disadvantages of high energy consumption and enlarged pollution discharge of intermittent asphalt mixing equipment are becoming increasingly apparent.The continuous type has the advantages of energy conservation,efficiency,and environmental protection,showing good development prospects.However,its low measurement accuracy and inaccurate control of aggregate heating temperature urgently need to be solved.Therefore,this thesis takes the 360 type continuous asphalt mixing equipment as the research object,and adopts a combination of theoretical analysis and simulation verification method to design and research from the following aspects:Firstly,starting from the working principle,select and calculate the models and parameters of the key structural components of the conveying metering and aggregate heating system,and use the equivalent stiffness calculation method of the cantilever beam to obtain the elastic stiffness coefficient of the sensor in the conveying metering system,preparing for its system modeling.Secondly,analyze the force on the weighing body of the belt scale and spiral scale during operation,establish a mechanical model,and obtain the transfer function required for the control algorithm design;In response to the issue of human subjectivity affecting the establishment of fuzzy rules in the fuzzy PID algorithm,ant colony algorithm is introduced to optimize it,and Matlab is used for simulation analysis.The results show that this method greatly improves the measurement accuracy and can quickly converge to the set value.Among them,the overshoot of the aggregate conveying and metering system has been reduced from 6.61% to 0,indicating no overshoot;The overshoot of the powder conveying and metering system is reduced by 15%;The rise time and adjustment time of the two decreased by 19%,37%,and 38%,21%,respectively.Finally,in response to the issue of inaccurate control of aggregate heating temperature,the key factors affecting the heating temperature of the aggregate were analyzed.The combustion zone flue gas temperature,flue gas oxygen content,and inner cylinder pressure were selected as dynamic variables,and a dynamic model of the aggregate heating process was established using the mechanism method and the modeling parameters were calculated.Because of the strong coupling of the output variables of the dynamic model and the high difficulty in realizing the control of this kind of model,the adjugate matrix decoupling method is used to decouple the dynamic model into three independent subsystems.Considering the complexity of the decoupled subsystems,Matlab is used to reduce the order of its model,and verify the accuracy of the reduced order results.Then,human simulated intelligent control is introduced and improved to design control algorithms for the reduced subsystems respectively,And simulate and analyze the decoupling method and control algorithm separately.The results show that this method effectively solves the strong coupling existing in the aggregate heating process,and the accuracy of aggregate heating temperature control is greatly improved.Compared with the equivalent transfer function decoupling method,the adjugate matrix decoupling method reduces overshoot,rise time and adjustment time by 3%,2%,2%,and 23%,32%,38% and 37%,39%,28% respectively for the three subsystems;The improved humanoid intelligent control enables all three subsystems to converge to the set value without overshoot;Reduce the rise time and adjustment time by 38%,39%,41%,and 46%,38%,36%,respectively.