Research On The Control System Of Electro-hydraulic Opening Mechanism Based On Single Neuron PID

Air-jet looms are widely used in the field of looms because of their advantages of energy-saving,pollution-free and easy access to working media.They are generally composed of opening mechanism,weft insertion mechanism,beating-up mechanism,let-off mechanism and winding mechanism.Shedding mechanism is one of the core components of the five major loom mechanisms.On the loom,warp yarns are separated up and down according to the requirements of fabric weaving to form a shuttle for weft passing through.It is an important part of air-jet loom.Effective control of the opening mechanism of textile machinery is the key to guarantee high quality and high output of textile products.In the existing manufacturers of open mechanism,most of them use PID control to meet their control requirements.The PID controller is simple in structure,convenient in calculation and widely used.However,the control parameters need to be adjusted in real time because of the internal mechanical wear of the electro-hydraulic opening mechanism,the influence of hydraulic oil viscosity,the change of oil temperature and pressure,the time-varying of parameters and external factors such as the change of external load.Therefore,it is difficult to meet the requirements of modern industrial production only through traditional PID control.Aiming at the problem that the traditional PID control method can not meet the adaptive force requirement of the electro-hydraulic shedding mechanism control system,a single neuron based PID controller is designed,which enriches the control method of the electro-hydraulic shedding mechanism and lays a foundation for the real-time control of the loom shedding mechanism.Its main contents are as follows:(1)The composition and working principle of the electro-hydraulic opening mechanism were studied,and its mechanical structure,hydraulic system and control system were analyzed.(2)The scheme of electro-hydraulic opening mechanism control system is proposed.According to the neural network control principle,single neuron control and PID control are combined on the basis of PID control system to realize fast response and high stability real-time control.It lays the foundation for the design and simulation of the single neuron network PID controller.(3)A single neuron PID controller based on supervised Hebb learning rules is designed.The mathematical model of the actuator is established.The controller is simulated by Matlab,and the simulation results are obtained and analyzed.(4)Designed the electro-hydraulic opening mechanism control system software,including the upper computer software and the lower computer software.Finally,for two different control strategies,the electro-hydraulic opening mechanism control experiment was carried out to study and analyze the experimental results.The simulation results show that the single neuron PID controller has faster response speed,stronger anti-interference performance and better static and dynamic performance than the conventional PID controller.The experimental results show that the single neuron PID control method is better than the conventional PID control method in controlling the parameters of the electro-hydraulic opening mechanism,and the system has the advantages of small overshoot,fast response and good robustness.The simulation results are basically consistent with the experimental results.Figure 37,Table 1,and 66 references.