CN102128995A - Device and method for real-time online identifying piezoelectric parameters of piezoelectric ceramic - Google Patents
Device and method for real-time online identifying piezoelectric parameters of piezoelectric ceramic Download PDFInfo
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- CN102128995A CN102128995A CN2010106032309A CN201010603230A CN102128995A CN 102128995 A CN102128995 A CN 102128995A CN 2010106032309 A CN2010106032309 A CN 2010106032309A CN 201010603230 A CN201010603230 A CN 201010603230A CN 102128995 A CN102128995 A CN 102128995A
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Abstract
The invention firstly provides a device and a method for real-time online identifying piezoelectric parameters of piezoelectric ceramic, wherein the method comprises the following steps of: converting a signal measured by a pressure sensor into a 4-20 mA electric signal; transmitting the electric signal to a single-chip by a signal shielding line through an A/D (Analog/Digital) converter; performing parameter identification and parameter optimization to the obtained signal by the single-chip, wherein the parameter identification comprises offline identification and online identification, and the parameter identification uses a recursive least square method for continuously obtaining measuring data and continuously modifying the parameters; and repeating the steps until satisfying precision requests of the parameters. The method in the invention uses the sensor for detecting the current value and the frequency valve; the single-chip online identifies the piezoelectric parameters so as to establish a mathematical model and obtain the real-time piezoelectric ceramic parameters; the method adjusts machining parameters of the piezoelectric ceramic and ensures that the piezoelectric ceramic parameters reach to the requested value; and the method is benefit for industrial research and test of the piezoelectric ceramic.
Description
Technical field
The present invention relates to the signal Processing field, specifically, it is a kind of real-time online identification technique of piezoelectric ceramics piezoelectric parameter, be applicable to digital signal correction parameter and piezoelectric ceramics parameter are carried out identification, can be used for control device, as automation equipment, exact instrument, machinery, electric power, chemical industry test etc.
Background technology
At present, the real-time online discrimination method of piezoelectric ceramics piezoelectric parameter generally has three kinds: (1). piezoelectric parameter identification algorithm, (2). and piezoelectric parameter on-line identification algorithm, (3). take the mechanism model dynamic compensation method, the identification model parameter.
Above method takes manual type to detect the piezoelectric ceramics parameter usually, though and have manyly about piezoelectric ceramics performance test, parameter test method and article at present, still do not have the effective ways and the monitoring device that are specifically designed to the on-line identification of piezoelectric ceramics piezoelectric parameter.Therefore how to improve an efficient of piezoelectric parameter on-line identification algorithm, reduce labor intensity of operating personnel, become piezoelectric ceramics parameter testing urgent problem.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, a kind of effective ways and proving installation that is used for the on-line identification of piezoelectric ceramics piezoelectric parameter is provided.
For achieving the above object, the present invention adopts following technical scheme:
The present invention at first provides a kind of real-time online discrimination method of piezoelectric ceramics piezoelectric parameter, comprises following steps: the conversion of signals that pressure transducer is recorded becomes the electric signal of 4-20mA; Send electric signal to single-chip microcomputer through A/D converter by the signal shielding line; Single-chip microcomputer carries out parameter identification and parameter optimization to the signal that obtains, and parameter identification comprises off-line identification and on-line identification, and parameter identification adopts principle of least square method, continuous corrected parameter when constantly obtaining measurement data; And, repeat said process, up to the accuracy requirement of satisfying parameter.
Recursive algorithm is adopted in described on-line identification.
The signal that obtains is carried out parameter identification with described single-chip microcomputer and parameter optimization is meant, single-chip microcomputer combines the parameter identification backoff algorithm with system optimizing control, sets up characteristic parameter and Changing Pattern that piezoelectric ceramics has universality.
The signal that described single-chip microcomputer obtains also comprises the signal from current sensor and frequency sensor.
The present invention provides a kind of real-time online device for identifying of piezoelectric ceramics piezoelectric parameter in addition, it comprises load module, output module and signal processing module, described signal processing module further comprises parameter identification unit and parameter optimization unit, the parameter identification unit comprises off-line identification part and on-line identification part, the parameter identification unit adopts principle of least square method, continuous corrected parameter when constantly obtaining measurement data.
Described on-line identification partly adopts recursive algorithm that data are handled.
Described parameter optimization unit comprises signal filtering and conversion fraction and advanced control algorithm part.
Described load module comprises pressure transducer, current sensor and frequency sensor.
The good effect of the technical solution adopted in the present invention is:
The present invention utilizes principle of least square method, take the rolling optimization Forecasting Methodology, the optimization solution that obtains will move along with the difference of operating condition and optimization aim, can fully satisfy soft, hard constraint condition different in the operating process in the optimizing process, realize the piezoelectric ceramics on-line parameter identification.
The present invention utilizes principle of least square method, utilize the gain scheduling theory to find the solution the actual non-linear piezoelectric ceramics parameter identification problem that is adapted to changing operate-point, foundation guarantees that based on the closed-loop control system of piezoelectric ceramics model parameter on-line identification the piezoelectric ceramics parameter meets the requirements of numerical value.
The present invention utilizes sensor electric current, frequency numerical values recited, single-chip microcomputer is by piezoelectric parameter on-line identification, set up its mathematical model, obtain real-time piezoelectric ceramics parameter, adjust the machined parameters of piezoelectric ceramics, guarantee that the piezoelectric ceramics parameter meets the requirements of numerical value, help the industrialization research and experiment of piezoelectric ceramics.
Below in conjunction with accompanying drawing the embodiment and advantages of the present invention are further explained.
Description of drawings
Accompanying drawing 1 is the schematic flow sheet of the real-time online discrimination method of a kind of piezoelectric ceramics piezoelectric parameter of the present invention.
Accompanying drawing 2 is block schematic diagrams of the real-time online device for identifying of a kind of piezoelectric ceramics piezoelectric parameter of the present invention.
Accompanying drawing 3 shows the method for work of the device shown in the accompanying drawing 2.
Embodiment
Referring to accompanying drawing 1, the present invention at first provides a kind of real-time online discrimination method of piezoelectric ceramics piezoelectric parameter, comprises following steps: step s1, and the conversion of signals that pressure transducer is recorded becomes the electric signal of 4-20mA; Step s2 sends electric signal to single-chip microcomputer through A/D converter by the signal shielding line; Step s3, single-chip microcomputer carries out parameter identification and parameter optimization to the signal that obtains, and parameter identification comprises off-line identification and on-line identification, and parameter identification adopts principle of least square method, continuous corrected parameter when constantly obtaining measurement data; And step s4 repeats said process, up to the accuracy requirement of satisfying parameter.
Continuation is referring to accompanying drawing 1, and recursive algorithm is adopted in described on-line identification.Converter is connected with single-chip microcomputer, can convert the electrical signal to digital signal and directly send single-chip microcomputer to carry out identification processes such as digital collection, parameter identification, parameter optimization.The signal that obtains is carried out parameter identification with described single-chip microcomputer and parameter optimization is meant, single-chip microcomputer combines the parameter identification backoff algorithm with system optimizing control, sets up characteristic parameter and Changing Pattern that piezoelectric ceramics has universality.The signal that described single-chip microcomputer obtains also comprises the signal from current sensor and frequency sensor.
Referring to accompanying drawing 2, the present invention also provides a kind of real-time online device for identifying of piezoelectric ceramics piezoelectric parameter according to said method, it comprises load module 10, output module 20 and signal processing module 30, described signal processing module 30 further comprises parameter identification unit 31 and parameter optimization unit 32, the parameter identification unit comprises off-line identification part and on-line identification part, parameter identification unit 31 adopts principle of least square method, continuous corrected parameter when constantly obtaining measurement data.
Continuation is referring to accompanying drawing 2, and described on-line identification partly adopts recursive algorithm that data are handled.Described parameter optimization unit 32 comprises signal filtering and conversion fraction and advanced control algorithm part, can also further comprise PID control section and the improved PID control section of advanced control.Described load module 10 comprises pressure transducer, current sensor and frequency sensor, and the data that the single-chip microcomputer in the data processing module 30 collects comprise the data from pressure transducer, current sensor and frequency sensor.Like this, on basis to piezoelectric ceramics parameter off-line identification method, added electric current, frequency sensor that the piezoelectric ceramics parameter identification is used, carry out piezoelectric parameter on-line identification by singlechip controller, and carry out polarization process control, guarantee that the piezoelectric ceramics parameter meets the requirements of numerical value.Load module 10 and output module 20 are isolated by the photoelectricity isolated location.
Whole device shown in the accompanying drawing 2 is grouped into by Single-chip Controlling, testing circuit, electric current and frequency detecting and Identification Division.Accompanying drawing 3 has further shown the method for work of this device in detail, and workflow is: electric current, frequency signal detecting unit → 51 single machine unit → parameter identification → identification of Model Parameters → adjustment control output → piezoelectric ceramics parameter numerical value that meets the requirements.The on-line identification control of piezoelectric ceramics parameter, core is the optimization of piezoelectric ceramics parameter detection method and identification algorithm.
Piezoelectric actuator mathematical model, key problem in technology and the algorithm principle of institute of the present invention foundation are:
1. piezoelectric actuator mathematical model.During piezoelectric work, its tuning curve is symmetrical basically, and asymmetric part is mainly caused by equivalent clamp capacitance.Obtain mathematical model when considering active loss:
Wherein:
;
Dielectric loss, elasticity loss and the piezoelectricity loss of respective material respectively.
2. model simplification.The piezoelectric actuator motional admittance
:
Mathematical model is exactly that handle is condensed into useful description form about the partial information of the essence of real process, utilizes the inputoutput data information that collects to set up mathematical model, just the identification of Model Parameters modeling method.The equivalent mathematical model of piezoelectric actuator can be represented with equivalent circuit diagram.
3. key problem in technology of the present invention: at first, in the performance of piezoelectric ceramics test, performance parameter commonly used is electric capacity C, dielectric loss tg δ, resonance frequency fs and fp, electromechanical coupling factor, piezoelectric strain constant, piezoelectric voltage constant etc.; Secondly,, carry out correlation analysis, intend adopting non-linear form to do correlation analysis, so that the proper model structure is determined in the nonlinear relationship linearization to the piezoelectric ceramics correlation parameter in order to realize the real-time online identification algorithm of piezoelectric ceramics piezoelectric parameter.Once more,, detect the piezoelectric ceramics resonance frequency and change, can realize the regression modeling and the identification of electromechanical coupling factor, piezoelectric strain constant, piezoelectric voltage constant etc. by at the additional small frequency variation signal of driving voltage.Frequency numerical value according to measuring obtains model parameter, reaches the purpose of timely Adjustment System controlled variable.Has following gordian technique: piezoelectric ceramics piezoelectric parameter detection mode (detection of resonance frequency) and correlativity; Piezoelectric ceramics mathematical model parameter on-line identification (referring to above).
4. recognizer principle of the present invention is: the method for systematic parameter identification is a lot, as least square method, Kalman filtering method etc., carries out identification of Model Parameters with the principle of least square here.But off-line, also can be in line computation, and can in nonlinear system, expand to iterative computation, after suitable state filtering processing, obtain one and on the minimum variance meaning, get best mathematical model, can be generalized to the continuous system mathematical model from the discrete system mathematical model and use with the experimental data match.
To the piezoelectric ceramics operating characteristic analysis, the present application people has carried out Simulating Test Study from the stability of raising piezoelectric actuator operation and the angle of system effectiveness at the piezoelectric actuator characterisitic parameter by above-mentioned.I, set up piezoelectric ceramics parameter identification algorithm and backoff algorithm.II, on-line identification model parameter.The piezoelectric ceramics parameter is carried out the identification and simulation experiment, adopt the ARMAX model to carry out parameter identification.III, the parameter identification backoff algorithm is combined with system optimizing control, set up characteristic parameter and Changing Pattern that piezoelectric ceramics has universality.By detecting frequency and electric current, make model meet piezoelectric ceramics real work mechanism.The method of mechanism model additional dynamic compensation has model simplification, precision is higher, robustness is good characteristics.The emulation experiment test result shows: under the situation of the reason of considering aspects such as frequency drift, heating, stability, real work is when resonant condition, the identification of Model Parameters performance has reached the parameter designing requirement, this lays a good foundation for improving the overall performance of piezoelectric actuator and drive controlling thereof.
The application's technical conceive is: because the electromechanical properties parameter of piezoelectric ceramics all obtains under static state, its parameter has significant variation under the long-term work condition.In addition, in research, test, assembling process, the detection of piezoelectric ceramics parameter all is to adopt manual type, efficient is low, working strength is big, after piezoelectric ceramics polarizes, machines, need carry out pairing, the screening of parameter and could normally use, also can't pass through secondary processing, adjustment, revise the piezoelectric ceramics parameter, directly the quality and the efficient of influence test.No matter be current experimental phase or industrialization in the future, the polarization that produce, test all needs to possess the advanced person, processing experiment equipment guarantee that the piezoelectric ceramics parameters precision reaches designing requirement.After the investigation of data aspect the piezoelectric ceramics parameter, analyzing, for overcoming manual detection, adjusting the deficiency that exists, the present application people has established with the major parameter of parameters such as frequency, mechanical quality factor and electromechanical coupling factor as the piezoelectric performance index, discretize is handled and is obtained corresponding difference mathematical model, carries out least square method and Kalman filtering MATLAB parameter identification.This on-line identification calculation device has superperformance, has realized the on-line identification and the manufacturing of piezoelectric ceramics parameter.The application can the various piezoelectric ceramics of real-time identification parameter change, help the control of piezoelectric ceramics optimization in Properties.
In existing piezoelectric ceramics making, the process of the test, the parameter distributions scope is bigger, consistance is relatively poor, need to carry out pairing, the screening of parameter in the use, still there is not the on-line identification device that is specifically designed to the piezoelectric ceramics parameter, can realize piezoelectric ceramics in manufacturing process, reach the good consistance of piezoelectric ceramics parameter.Set up the mathematical model on-line identification algorithm of piezoelectric ceramics, control from processing, manufacturing process.
Have manyly though the present invention is directed at present about piezoelectric ceramics performance test, parameter test method and article, still do not have the effective ways and the monitoring device that are specifically designed to the on-line identification of piezoelectric ceramics piezoelectric parameter.The present invention has remedied this vacancy, and the digital signal of being gathered is carried out digital filtering and correlation parameter identification calculation process, by single-chip microcomputer signal is handled, and is shown the piezoelectric ceramics parameter of identification by display.
Certainly, more than only be concrete exemplary applications of the present invention, protection scope of the present invention is not constituted any limitation.In addition to the implementation, the present invention can also have other embodiment.All employings are equal to the technical scheme of replacement or equivalent transformation formation, all drop within the present invention's scope required for protection.
Claims (8)
1. the real-time online discrimination method of a piezoelectric ceramics piezoelectric parameter is characterized in that, comprises following steps:
The conversion of signals that pressure transducer is recorded becomes the electric signal of 4-20mA;
Send electric signal to single-chip microcomputer through A/D converter by the signal shielding line;
Single-chip microcomputer carries out parameter identification and parameter optimization to the signal that obtains, and parameter identification comprises off-line identification and on-line identification, and parameter identification adopts principle of least square method, continuous corrected parameter when constantly obtaining measurement data; And
Repeat said process, up to the accuracy requirement of satisfying parameter.
2. the real-time online discrimination method of piezoelectric ceramics piezoelectric parameter according to claim 1 is characterized in that, recursive algorithm is adopted in described on-line identification.
3. the real-time online discrimination method of piezoelectric ceramics piezoelectric parameter according to claim 1, it is characterized in that, the signal that obtains is carried out parameter identification with described single-chip microcomputer and parameter optimization is meant, single-chip microcomputer combines the parameter identification backoff algorithm with system optimizing control, set up characteristic parameter and Changing Pattern that piezoelectric ceramics has universality.
4. the real-time online discrimination method of piezoelectric ceramics piezoelectric parameter according to claim 1 is characterized in that the signal that described single-chip microcomputer obtains also comprises the signal from current sensor and frequency sensor.
5. the real-time online device for identifying of a piezoelectric ceramics piezoelectric parameter, it is characterized in that, comprise load module, output module and signal processing module, described signal processing module further comprises parameter identification unit and parameter optimization unit, the parameter identification unit comprises off-line identification part and on-line identification part, the parameter identification unit adopts the principle of least square, continuous corrected parameter when constantly obtaining measurement data.
6. the real-time online device for identifying of piezoelectric ceramics piezoelectric parameter according to claim 1 is characterized in that, described on-line identification partly adopts recursive algorithm that data are handled.
7. according to the real-time online device for identifying of claim 5 or 6 described piezoelectric ceramics piezoelectric parameters, it is characterized in that described parameter optimization unit comprises signal filtering and conversion fraction and advanced control algorithm part.
8. the real-time online device for identifying of piezoelectric ceramics piezoelectric parameter according to claim 7 is characterized in that described load module comprises pressure transducer, current sensor and frequency sensor.
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Cited By (8)
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| CN103529322A (en) * | 2013-10-10 | 2014-01-22 | 中国科学院上海技术物理研究所 | Dynamic frequency response testing system and method of piezoelectric ceramic rapid defecting mirror |
| CN103941585A (en) * | 2014-01-23 | 2014-07-23 | 吉林大学 | Duhem-model-based piezoelectric ceramic actuator modeling method |
| CN104142443A (en) * | 2014-07-03 | 2014-11-12 | 浙江理工大学 | Piezoelectric ceramic actuator positive and negative two-station action self-detection circuit and detection method |
| CN106774282A (en) * | 2017-02-09 | 2017-05-31 | 中国航天空气动力技术研究院 | A kind of on-line parameter identification circuit |
| CN108846191A (en) * | 2018-06-07 | 2018-11-20 | 哈尔滨工业大学 | A kind of distribution saturation capacitance model modelling approach for simulating piezoelectric ceramic actuator Hysteresis Nonlinear |
| CN109142931A (en) * | 2018-09-03 | 2019-01-04 | 苏州华兴源创科技股份有限公司 | A kind of system and method for piezoelectric ceramics test |
| CN112083702A (en) * | 2020-09-27 | 2020-12-15 | 江苏恒宝智能系统技术有限公司 | Carbon fiber composite material curing process monitoring and management method and system |
| CN117094130A (en) * | 2023-07-20 | 2023-11-21 | 南通大学 | Fractional order piezoelectric ceramic identification method based on maximum likelihood least square algorithm |
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Cited By (15)
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| CN103529322B (en) * | 2013-10-10 | 2016-01-13 | 中国科学院上海技术物理研究所 | A kind of piezoelectric ceramics quick deflecting mirror dynamic frequency response test system and method |
| CN103529322A (en) * | 2013-10-10 | 2014-01-22 | 中国科学院上海技术物理研究所 | Dynamic frequency response testing system and method of piezoelectric ceramic rapid defecting mirror |
| CN103941585A (en) * | 2014-01-23 | 2014-07-23 | 吉林大学 | Duhem-model-based piezoelectric ceramic actuator modeling method |
| CN104142443A (en) * | 2014-07-03 | 2014-11-12 | 浙江理工大学 | Piezoelectric ceramic actuator positive and negative two-station action self-detection circuit and detection method |
| CN104142443B (en) * | 2014-07-03 | 2016-08-17 | 浙江理工大学 | A kind of piezoelectric ceramic actuator positive and negative two-position action self-detection circuit and detection method |
| CN106774282B (en) * | 2017-02-09 | 2019-09-06 | 中国航天空气动力技术研究院 | A kind of on-line parameter identification circuit |
| CN106774282A (en) * | 2017-02-09 | 2017-05-31 | 中国航天空气动力技术研究院 | A kind of on-line parameter identification circuit |
| CN108846191A (en) * | 2018-06-07 | 2018-11-20 | 哈尔滨工业大学 | A kind of distribution saturation capacitance model modelling approach for simulating piezoelectric ceramic actuator Hysteresis Nonlinear |
| CN108846191B (en) * | 2018-06-07 | 2022-04-15 | 哈尔滨工业大学 | Distributed parameter saturated capacitance model modeling method for piezoelectric ceramic actuator |
| CN109142931A (en) * | 2018-09-03 | 2019-01-04 | 苏州华兴源创科技股份有限公司 | A kind of system and method for piezoelectric ceramics test |
| CN109142931B (en) * | 2018-09-03 | 2021-11-23 | 苏州华兴源创科技股份有限公司 | System and method for testing piezoelectric ceramics |
| CN112083702A (en) * | 2020-09-27 | 2020-12-15 | 江苏恒宝智能系统技术有限公司 | Carbon fiber composite material curing process monitoring and management method and system |
| CN112083702B (en) * | 2020-09-27 | 2021-08-17 | 江苏恒宝智能系统技术有限公司 | Carbon fiber composite material curing process monitoring and management method and system |
| CN117094130A (en) * | 2023-07-20 | 2023-11-21 | 南通大学 | Fractional order piezoelectric ceramic identification method based on maximum likelihood least square algorithm |
| CN117094130B (en) * | 2023-07-20 | 2024-05-14 | 南通大学 | Fractional order piezoelectric ceramic identification method based on maximum likelihood least square algorithm |
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