Research On Key Technologies Of Intelligent Counterweight Packaging System For Tube Yarn

Yarn baling is the output of the winding process in the textile industry,and yarn baling has a significant impact on the economic efficiency of enterprises.At present,most of the webs are packed manually,but the manual packing is affected by the conditions and working environment,and the long time repetitive work is easy to fatigue and operation error,and the manual packing efficiency is low,the labor cost is high,and the total weight of web packing is not guaranteed.In this paper,we propose a fuzzy control algorithm to optimize the weight of cylinder yarn and design an intelligent,efficient and stable weight baling system for the problems of existing weighting process.The main contents of this paper are as follows.(1)Through the analysis of literature related to the cylinder yarn baling process and the inspection of the production site,the design requirements of the cylinder yarn intelligent counterweight baling system are clarified and the overall scheme of the cylinder yarn intelligent counterweight baling system is designed by combining the baling process during manual work.According to the modular design concept,the system is divided into sub-modules of corresponding functions.And the structure of key parts such as counterweight platform,detection and sorting,and storage in three-dimensional warehouse is optimized.(2)To address the problems of low success rate and insufficient accuracy of manual weight distribution,this paper proposes an improved automatic weight distribution method for cylinder yarn.To establish a mathematical model of cylinder yarn weight distribution,adopt the enumeration method and weight interval pairing weight distribution method,and use the outgoing and incoming storage mode of the three-dimensional warehouse to maintain the dynamic balance of cylinder yarn quantity;to address the problem of uneven distribution of cylinder yarn weight in the three-dimensional warehouse and large randomness,this paper proposes an improved cylinder yarn weight adjustment method,using fuzzy PID for closed-loop control of cylinder yarn weight,real-time monitoring and dynamic adjustment of cylinder yarn weight in the three-dimensional warehouse.This paper proposes an improved method of cylinder weight regulation,which uses fuzzy PID for closed-loop control of cylinder weight to monitor and dynamically adjust the cylinder weight of the stereo warehouse in real time.(3)In order to achieve accurate control and adjustment of the cylinder weight,this paper designs an improved fuzzy controller,establishes fuzzy rules,fuzzy inference and defuzzification.In order to reduce the influence of parameters in the fuzzy controller,this paper proposes to optimize and improve the quantization factor and proportionality factor in fuzzy PID control by using particle swarm algorithm,and optimize the search logic and construct the performance evaluation index.To avoid premature particle convergence,the adaptive inertia weight optimization method is used.The Simulink toolbox of MATLAB is used to build the cylinder yarn weight regulation model,and the effectiveness of the algorithm for weight control is verified by simulation experiments.(4)By debugging and testing the weight distribution system and collecting a large amount of experimental data,the performance efficiency of the cylinder yarn weight distribution link and baling link is evaluated,and finally the system reliability is analyzed and the system design meets the enterprise production requirements.