Fractional-order Active Control Of Piping System Vibration And Noise Reduction Research And Failure Analysis

Industrial accidents caused by pipeline vibration occur from time to time,which will not only cause significant losses to production and economy,but also cause personal safety to people around.In a complex piping system,the active control method is more effective than passive control in reducing vibration and noise of the pipeline.The residual mechanical vibration has a relatively large impact on the sensors in the control system.The application of sensor fault detection based on mathematical models can effectively avoid the need for a large amount of experimental data as the experimental basis.In this dissertation,an active control system for vibration and noise reduction is designed for the pipeline system to achieve the goal of reducing unnecessary mechanical vibration in the pipeline,and fault detection of sensors in the active control system for vibration and noise reduction is carried out.The piping system is a multi-input and multi-output system.Based on the state feedback of modern control theory,the kinematics model is derived by differential function,and the state equation of the piping system proportional state feedback active control is obtained.Based on the finite element method,the motion model is obtained according to ANSYS software Important parameters in the.In the active control system,the quadratic optimal control algorithm and Kalman filter are used to reduce the vibration and noise of the pipeline.The application of active control methods has a very good effect on pipeline vibration and noise reduction.However,because mechanical vibration can only be reduced and cannot be eliminated,there will still be some damage to precision instruments such as sensors in the control system and cause failure;The sensor performs effective fault detection,and uses the sensor fault detection based on the mathematical model to perform effective real-time fault detection on the sensor.Because the fractional PI~l itself has a filtering function,and because of the existence of I~l ,the high-frequency and low-frequency characteristics of the closed-loop system can be easily adjusted by adjusting the value ofl,and it can achieve better dynamic performance and robustness than conventional controllers.Use fractional PI state feedback to actively control the pipeline.In order to better reduce the vibration and noise of the pipeline system,use the fractional PI state feedback control law;and based on the advantages of the particle swarm optimization algorithm,apply the particle swarm optimization The optimal control algorithm optimizes the state feedback matrix K_p,K_I and the control parameters of the fractional orderlin the fractional order PI state feedback;simulation experiments prove that the optimized fractional order PI state feedback control effect and robustness are very good and very applicable Used in the active control system of pipeline vibration and noise reduction.