Research On 2D Servo Valve And Its Gain Self-regulating Single Neuron PID Control Method

Compared with the motor control system,the electro-hydraulic servo system has the advantages of large power-to-weight ratio,fast response speed,high rigidity and high control precision.So it is widely used in aviation,aerospace,shipbuilding,equipment machinery,etc.,but with the development needs of modern industry,higher requirements on its response speed,anti-interference and anti-pollution ability is proposed.Thus,this paper studies the 2D servo valve and its gain self-regulating single neuron PID control method.On the one hand,the mathematical model of the 2D servo valve body mechanism is established,and its dynamic characteristics and the influence of different structural parameters on its dynamic characteristics are analyzed.On the other hand,the 2D servo valve is a nonlinear,strongly coupled,time-varying system.It is difficult to effectively perform its performance with conventional PID control.As the basic unit of neural network,element has not only adaptive and self-learning functions,but also simple and easy to implement.Therefore,this paper combines single neuron with PID control to study the application of single neuron PID control with gain selfregulation function in 2D servo valve control systems.The specific research contents and results of this paper are as follows:(1)The valve body of the 2D servo valve is analyzed.The mathematical model of 2D servo valve servo screw mechanism is established,and its dynamic response characteristics are analyzed.The main parameters such as high and low pressure hole radius,initial bow height and oblique groove inclinationare are studied for its dynamic characteristics.The study provide a theoretical basis for the optimization of the 2D servo valve body structure.(2)The digital control technology of the 2D servo valve electro-mechanical converter is studied.The mathematical model of 2D servo valve electro-mechanical converter is established.The dynamic response characteristics of the two-phase hybrid stepping motor are simulated from the perspective of electro-mechanical converter.The simulation results show that the two-phase hybrid stepping motor has better dynamic characteristics as electro-mechanical converters.(3)A double closed-loop control algorithm based on gain self-adjusting single neuron PID control is proposed,which enables the electro-mechanical converter to quickly and accurately locate to any position,solves the contradiction between the control precision and response speed of the valve,and simulate the system.Compared with the traditional PID control,the system response speed and the suppression of interference have been significantly improved by the gain self-regulating single neuron PID control.(4)Based on the proposed control algorithm,the controller of 2D servo valve is designed and an experimental test platform is built.The static and dynamic characteristics of electro-mechanical converter and 2D servo valve under the control of the method are studied respectively.The experimental results show that Both the electro-mechanical converter and the 2D servo valve have good static and dynamic characteristics,which verifies the effectiveness of the double closed-loop control algorithm based on the gain self-adjusting single neuron PID control of the 2D servo valve.