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Wavelet neural network PID online control method and system of hydraulic actuator

A wavelet neural network, hydraulic actuator technology, applied in the direction of controllers with specific characteristics, electric controllers, etc.

Pending Publication Date: 2020-10-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, neural network PID control has not been widely used in hydraulic control system

Method used

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  • Wavelet neural network PID online control method and system of hydraulic actuator
  • Wavelet neural network PID online control method and system of hydraulic actuator
  • Wavelet neural network PID online control method and system of hydraulic actuator

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Embodiment Construction

[0028] The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0029] The invention controls the flow rate of a hydraulic actuator of a gas turbine. The mechanical structure of the hydraulic actuator of the gas turbine is a valve-controlled hydraulic actuator, which mainly includes a servo valve, a hydraulic cylinder, a hydraulic station, and an oil pipe. In the method of the present invention, the control targets are mainly for hydraulic cylinders and servo valves.

[0030] The hydraulic cylinder flow calculation formula is:

[0031]

[0032] In the formula, Q is the output flow of the hydraulic cylinder, the unit is m 3 / s; d 1 is the diameter of the piston, in m; d 2 is the diameter of the piston rod, the unit is m; ΔV is the relative velocity of the piston, the unit is m / s; ε is the empirical error value, the unit is m 3 / s.

[0033] The formula for calculating the flow rate at the valve port of the servo valve is:

[003...

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Abstract

The invention provides a wavelet neural network PID online control method and system for a hydraulic actuator, and the method comprises the steps of: carrying out the closed-loop control of the inputflow of a hydraulic actuator module through a PID control module, optimizing the parameters of the PID control module through a wavelet neural network, and carrying out the real-time online setting ofthe parameters of a controller; converting and transmitting output flow signals to the signal processor while being transmitted to a feedback sensor, and visually displaying flow changes on line through terminal equipment. According to the method, the defects of a traditional method can be overcome, the control time is shortened, the control efficiency is improved, and faults caused by control hysteresis are reduced and eliminated. And meanwhile, the output of the system is connected to the terminal equipment, so that the change of the system flow can be visually and clearly shown.

Description

technical field [0001] The invention belongs to the field of state monitoring and control of hydraulic actuators, in particular to a wavelet neural network PID online control method and system for hydraulic actuators. Background technique [0002] In recent years, hydraulic actuators have been widely used. At the same time, the probability of failure of hydraulic actuators also increases. The valve-controlled hydraulic actuator is the most common type of actuator, mainly including servo valves, hydraulic cylinders, hydraulic stations, oil pipes, etc. But the structure of its core component, the servo valve, is relatively complicated, and the control process is difficult. The valve-controlled hydraulic control system mainly includes hydraulic actuators, controllers and feedback sensors. In traditional PID control, it is difficult to set the parameters of the controller, and the control time is too long, resulting in frequent failures. Therefore, it is particularly importan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 孙建平章雅楠王磊张文广
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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