A Nonlinear Model Predictive Control Method for Piezoelectric Actuators
A piezoelectric actuator and nonlinear model technology, applied in the direction of feedback control, adaptive control, general control system, etc., can solve the problems of inverse model difficult calculation, unfavorable control accuracy and rapid application
Active Publication Date: 2016-08-24
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, it is difficult to obtain a high-precision inverse model and the amount of calculation is large, which is not conducive to improving control accuracy and rapid application.
In addition, characteristics such as hysteresis are closely related to the frequency of the piezoelectric signal acting on the piezoelectric actuator, which also has a certain impact on the modeling
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0016] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0017] The present invention proposes a nonlinear model predictive control method for piezoelectric actuators. The method utilizes a multi-layer neuron network to model piezoelectric actuators, and uses a nonlinear model predictive controller to control displacement of piezoelectric actuators. real-time control, such as figure 1 As shown, the method includes the following steps:
[0018] Step S1: Modeling the piezoelectric actuator using a multi-layer neuron network to obtain a neuron network model of the piezoelectric actuator, such as figure 2 As shown, the model can effectively fit the actual behavior of the piezoelectric actuator and is adaptable to the frequency of the input signal;
[0019] The neuron network mod...
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
Login to View More Abstract
The invention discloses a non-linear model predictive control method of a piezoelectric actuator. The method comprises the following steps that a multi-layer neurons network is used for carrying out modeling on the piezoelectric actuator to obtain a neuron network model of the piezoelectric actuator; a non-linear model predictive controller is arranged and optimized; based on the neuron network model of the piezoelectric actuator and the non-linear model predictive controller, displacement of the piezoelectric actuator is controlled in real time. According to the method, based on the related content of the optimization theory, the displacement of the piezoelectric actuator is controlled in real time through the neuron network model and the non-linear model predictive controller, the inherent delay problem of the piezoelectric actuator is solved, and real-time tracking control over displacement of the piezoelectric actuator is achieved.
Description
technical field [0001] The invention relates to the fields of nano-positioning technology, motion control technology, high-precision servo technology and the like, in particular to a nonlinear model predictive control method of a piezoelectric actuator. Background technique [0002] In the process of modern industrial manufacturing and equipment processing, manufacturing accuracy and processing precision have become the primary requirements for saving costs and improving production efficiency. As one of the key technologies of precision manufacturing, nano-positioning technology has become an important technical means for manufacturing high-precision equipment. Piezoelectric ceramic actuator is one of the important devices to realize nanopositioning technology. [0003] However, the physical characteristics of the piezoelectric actuator itself make it have nonlinear characteristics such as hysteresis, creep, vibration, etc., which seriously affect the positioning accuracy o...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04G05D3/12
Inventor 程龙侯增广谭民刘伟川
Owner INST OF AUTOMATION CHINESE ACAD OF SCI