Structure self-adaptive fractional order proportional integral or proportional differential controller design method

A proportional-integral and proportional-derivative technology, applied in the field of automation, can solve the problems of difficult to obtain prior knowledge of dynamic characteristics, difficult to determine controller parameters, complex structure and operation mechanism, etc.

Active Publication Date: 2019-03-22
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practical applications, especially some large-scale industrial processes with subsystem interaction, their structures and operating mechanisms are complex, and it is usually difficult to obtain their accurate dynamic characteristics and prior knowledge, and it is impossible to determine whether

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Structure self-adaptive fractional order proportional integral or proportional differential controller design method
  • Structure self-adaptive fractional order proportional integral or proportional differential controller design method
  • Structure self-adaptive fractional order proportional integral or proportional differential controller design method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0061] Take the following first-order time-delay process as the controlled object, namely

[0062]

[0063] In the formula, K=1 is the open-loop gain, T=3 is the time constant, and L=0.1 is the lag time.

[0064] The design of the above-mentioned controlled objects is as attached figure 1 The fractional order controller shown, where R(s) is the transfer function of the input signal, E(s) is the transfer function of the error signal, P(s) is the transfer function of the controlled object, and U(s) is the control signal transfer function of the output signal, Y(s) is the transfer function of the output signal, K P is the proportional part of the controller, T i the s -λ Transfer function for the derivative or integral part of the controller.

[0065] In this embodiment, it is assumed that the structural parameters K, T, L of the controlled object are...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a structure self-adaptive fractional order proportional integral or proportional differential controller design method. The method comprises the following steps: firstly, through inputting a sinusoidal signal and a capture output signal to a controlled object, acquiring an amplitude value and a phase of an open-loop system of the controlled object in appointed grain crossover frequency; through inputting another sinusoidal signal and the capture output signal to the controlled object, acquiring a phase frequency curve slope of the controlled object; substituting three obtained experimental data into a constructed relational expression between an amplitude value, a phase and a phase slope of a controlled object transfer function and three parameters of a fractional order controller, resolving to obtain the three parameters of the fractional order controller, wherein the three parameters comprise a proportionality coefficient, a time constant and a calculus order,and the calculus order determines whether the fractional order controller is a proportional integral or proportional differential structure. The method is not dependent of a mathematic model of the controlled object, and capable of, through a self-adjusting process of the controller parameters, automatically calculating the controller parameters, and determining the controller structure.

Description

technical field [0001] The invention relates to the field of automation, in particular to a design method of a structure-adaptive fractional-order proportional-integral or proportional-derivative controller. Background technique [0002] In closed-loop controllers in industrial processes, the simple proportional-integral (PI) control or proportional-derivative (PD) control methods are widely used. As industrial processes have higher and higher requirements for control performance, the traditional integer-order PI or PD control has been difficult to meet the requirements. It forces engineers and technicians to look for a control method with superior performance, but also to ensure that the control method is simple and easy to use, which is convenient for engineering implementation. [0003] The theory of fractional calculus has a history of more than 300 years. After people's continuous improvement of its theory and great progress of science and technology in recent years, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 赵江波覃铄王军政井伟灿
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products