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Non-linear model predictive control method of piezoelectric actuator

A piezoelectric actuator, nonlinear model technology, applied in the control, adaptive control, general control system and other directions using feedback, can solve problems such as unfavorable control accuracy and rapid application, difficult calculation of inverse model and so on

Active Publication Date: 2014-07-23
INST OF AUTOMATION CHINESE ACAD OF SCI
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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

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  • Non-linear model predictive control method of piezoelectric actuator

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Embodiment Construction

[0016] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0017] The invention proposes a nonlinear model predictive control method for piezoelectric actuators. The method utilizes a multi-layer neuron network to model the piezoelectric actuators, and uses a nonlinear model predictive controller to control the displacement of the piezoelectric actuators. real-time control, such as figure 1 As shown, the method includes the following steps:

[0018] Step S1: Model the piezoelectric actuator by 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 adaptive to the frequency of the input signal;

[0019] The neuron network model includes a s...

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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, the accuracy of manufacturing and the precision of processing have become the primary requirements for cost saving 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 piezoelectric actuators make them have nonlinear characteristics such as hysteresis, creep, vibration, etc., which seriously affect the positioning accur...

Claims

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Application Information

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Patent Type & Authority Applications(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
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