Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Sliding-model control method for compensating a model uncertainty of a direct drive motor system

An uncertain, direct drive motor technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of not being able to obtain high-precision control performance, stimulating high-frequency dynamics of the system, and adding controllers , to achieve the effects of ensuring transient control performance, reducing gain, and eliminating observation errors

Inactive Publication Date: 2015-11-25
NANJING UNIV OF SCI & TECH
View PDF8 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But for uncertain nonlinearity such as external load disturbance, it seems powerless, and when the uncertain nonlinearity is too large, the system may be unstable.
However, the actual motor system has uncertain nonlinearity, so the adaptive control method cannot obtain high-precision control performance in practical applications; for the direct drive motor system, the basic idea of ​​the sliding mode control method is for the direct drive motor system The nominal model design controller, the parameter uncertainty between the real system model and the nominal model and the uncertainty nonlinearity such as external load disturbance are classified into the model uncertainty
For the model uncertainty, the traditional sliding mode control method mainly overcomes the model uncertainty by increasing the robustness of the controller so that the system state reaches the sliding mode surface urgently. However, by increasing the gain of the discontinuity item to Increase the robustness of the controller, it is likely to stimulate the high-frequency dynamics of the system in practical applications, making the system unstable
Therefore, the traditional sliding mode control method has great engineering limitations

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
  • Sliding-model control method for compensating a model uncertainty of a direct drive motor system
  • Sliding-model control method for compensating a model uncertainty of a direct drive motor system
  • Sliding-model control method for compensating a model uncertainty of a direct drive motor system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0094] In order to assess the performance of the designed controller, the following parameters are taken in the simulation to model the direct drive motor system:

[0095] Inertia load parameter m=0.0138kg m 2 ; Viscous friction coefficient B = 0.2N m s / rad; Moment amplification factor k u =53.6N·m / V;

[0096] The desired instruction for a given system is: x d =8sin(t)[1-exp(-0.01t 3 )](rad)

[0097] According to two different system working conditions, the simulation process is divided into two parts:

[0098] 1) When the model uncertainty d(x,t)=0.3+0.1sin(πt)N m:

[0099] Take the following controller for comparison:

[0100] Model Uncertainty Compensated Sliding Mode Control (UC‐SMC) controller: take the model uncertainty observer parameter k 1 =5000, β 1 =30,ε 1 =0.05,p 1 = 3 and q 1 =5; controller parameter c 1 =512,c 2 = 192, k = 0.001.

[0101] Sliding mode controller (SMC): In order to force the system state to reach the sliding mode surface, the selecte...

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 present invention discloses a sliding-model control method for compensating a model uncertainty of a direct drive motor system. The method includes the steps as follows: establishing a mathematical model of the direct drive motor system; designing a model uncertainty disturbance observer; and designing a sliding-model controller based on the model uncertainty disturbance observer. The method drastically reduces a buffeting of sliding-model control, enables the system to acquire a steady-state performance of asymptotically tracking when the model uncertainty exists, enhances the ability that the utilization of the sliding-model control method in the direct drive motor system resists the model uncertainty, and acquires a better tracking performance.

Description

technical field [0001] The invention relates to the technical field of electromechanical servo control, and mainly relates to a sliding mode control method for model uncertainty compensation of a direct drive motor system. Background technique [0002] In modern industrial production, direct drive motor systems are widely used in many mechanical equipment due to the elimination of some mechanical transmission problems associated with reduction gears, such as backlash, strong inertial loads, and structural flexibility. These nonlinear problems are the main factors affecting system performance, and their existence will seriously deteriorate system tracking performance. Therefore, high-precision control performance can be obtained through advanced controller design for direct drive motor systems. However, due to the lack of reduction gears, the controller design of the direct drive motor system needs to face many modeling uncertainties, such as parameter uncertainties and uncer...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 刘龙姚建勇胡健罗成洋
Owner NANJING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products