CN105975673A - Nonlinear dynamical parameter identification method of vibration type energy collector - Google Patents
Nonlinear dynamical parameter identification method of vibration type energy collector Download PDFInfo
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Abstract
The invention relates to a nonlinear dynamical parameter identification method of a vibration type energy harvester, and belongs to the field of energy harvesting. According to the method, the problem that the parameters of the harvester cannot be accurately evaluated when the harvester contains unknown linear restoring force is solved. On the basis of a harvester restoring force equation, a restoring force three-dimensional data set is established by use of experimental data; the cross section of a restoring force curved surface is established through an interpolation method; a rigidity curve and a damping curve are identified through rearranging data in ascending sequence; through adoption of a least square method, and rigidity or damping data points are fitted by use of a polynomial equation. According to the method, a harvester restoring force model is unnecessarily pre-judged, and therefore, the method is suitable for dynamical parameter identification of various complex nonlinear harvesters. Compared with the prior art, the method has the advantages that the dynamical model identification and parameter identification problems of the vibration type energy harvester are solved under the condition that the restoring force model is unknown, and the theoretical basis is established for design and optimization of the vibration type energy harvester.
Description
Technical field
The present invention relates to vibrational energy and gather field, the nonlinear kinetics ginseng of a kind of vibrating type energy harvester
Number discrimination method.
Background technology
The low-power dissipation system such as wireless sensing node and monitoring means is widely used in monitoring structural health conditions, fault at present
In diagnosis and initial failure early warning system.Gathering vibrational energy from environment is to provide one of important approach of power supply, shape for it
Become study hotspot.Therefore, develop and improve vibrating type energy collector systems identification and parameter identification method, to vibrating type energy
The structure Design and optimization parameter of harvester and engineer applied have important value and significance.
At present, in terms of the dynamic parameters identification or identification of vibrational energy type energy collecting device, need restoring force mould
Type itself has certain anticipation, and the accuracy of anticipation largely have impact on the accuracy of parameter identification;Due to unknown nonlinear
The existence of restoring force, this anticipation is difficult to be consistent with practical situation.Therefore, for having the energy collecting device of nonlinear restoring force
Carrying out parameter identification is a difficult point.
Summary of the invention
The defect existed for prior art, it is an object of the invention to provide the non-linear of a kind of vibrating type energy harvester
Dynamic parameters identification method, solves when harvester contains unknown nonlinear restoring force, it is impossible to accurately identify kinetic parameter
Problem.
For reaching above-mentioned purpose, the design of the present invention is as follows:
Restoring force expression formula is:
Give harvester arbitrary excitation, in the ith sample moment, obtain if quality m weighs in advance, electromechanical coupling factor η
Obtained by piezoelectric material properties, accelerationWith voltage uiThe most measure (displacement ziWithCan be by integrated acceleration be obtained
Arrive), the f under the most each sampling instantiThe most available.Structure three-dimensional numerical value point setThen can draw this system resilience
Curved surface.If elastic restoring force and damping restoring force, then have:
According to formula (5), by constructing on restoring force curved surfaceOr the cross section of z=0, rigidity restoring force can be obtained
Data sequence or damping restoring force data sequence.
According to above-mentioned design, the present invention adopts the following technical scheme that
A kind of Nonlinear dynamics parameter identification method of vibrating type energy harvester, utilizes experimental data structure three-dimensional extensive
Multiple Massa Medicata Fermentata face, utilizes method of section to obtain harvester rigidity and amortization data sequence, comprises the steps:
Step 1: traversal point setSearch and record all working asTime corresponding data sequence: displacement
(zi,zi+1), speedWith restoring force (fi,fi+1);
Step 2: by data above centering interpolated value, searchTime displacement zi' and restoring force fi' data,
To stiffness curve data sequence (zi’,fi’);
Step 3: to data sequence (zi’,fi') according to zi' carry out ascending order arrangement, draw stiffness curve z ' → f ';
Step 4: use method of least square, utilize polynomial equation to stiffness curve z → fsIt is fitted, obtains multinomial
Coefficient, completes resilience model identification and parameter identification;
Step 5: when identifying damping curve, repeats step 1~4, but needs to record and all work as zi×zi+1< corresponding when 0
Data sequence, and at ziInterpolation at '=0.
Compared with prior art, present invention have the advantage that:
This method first passes through the means of experiment test, constructs restoring force data point set;By interpolation method, complete rigidity
The identification work of curve and damping curve;Finally utilize polynomial equation, utilize least square fitting to obtain each term coefficient, complete
Become whole identification and identify work.The method presupposes resilience model, therefore to various complex nonlinears owing to need not
Restoring force form all can reliable identification and identification.
Accompanying drawing explanation
Fig. 1 is vibrating type energy harvester equivalent model.
Fig. 2 is vibrating type energy harvester kinetics parameter recognition result: (a) is restoring force curved surface;B () is that rigidity is intended
Close curve and experimental data scatterplot.
Detailed description of the invention
Embodiments of the present invention is further illustrated below in conjunction with the accompanying drawings.
Vibrating type energy harvester equivalent model is as it is shown in figure 1, model is by mass m, nonlinear spring kn, damped coefficient
C and the piezoelectric transducer composition that electromechanical coupling factor is η.zaFor under absolute coordinate, the vibration displacement of harvester, zbFor harvester
The basic excitation of shell, then relative displacement z can write equation (1)
Z=za-zb (1)
System equation can be written as:
Wherein:For with knThe unknown restoring force function relevant with c, η is electromechanical coupling factor, CpFor piezoelectric
Equivalent capacity, RLFor external load resistance, u is output voltage.Formula (2) is rewritten as the expression formula (4) of restoring force function:
In the ith sample moment, obtaining if quality m weighs in advance, electromechanical coupling factor η is obtained by piezoelectric material properties,
AccelerationWith voltage uiThe most measure (displacement ziWithCan be by integrated acceleration be obtained), under the most each sampling instant
fiThe most available.Structure three-dimensional numerical value point setThen can draw this system resilience curved surface.If elastic restoring force and resistance
Buddhist nun's restoring force, then have:
According to formula (5), by constructing on restoring force curved surfaceOr the cross section of z=0, rigidity restoring force can be obtained
Data sequence or damping restoring force data sequence.
A kind of Nonlinear dynamics parameter identification method of vibrating type energy harvester, utilizes experimental data structure three-dimensional extensive
Multiple Massa Medicata Fermentata face, utilizes method of section to obtain harvester rigidity and amortization data sequence, comprises the steps:
Step 1: traversal point setSearch and record all working asTime corresponding data sequence: displacement
(zi,zi+1), speedWith restoring force (fi,fi+1);
Step 2: by data above centering interpolated value, searchTime displacement zi' and restoring force fi' data, obtain
Stiffness curve data sequence (zi’,fi’);
Step 3: to data sequence (zi’,fi') according to zi' carry out ascending order arrangement, draw stiffness curve z ' → f ';
Step 4: use method of least square, utilize polynomial equation to stiffness curve z → fsIt is fitted, obtains multinomial
Coefficient, completes resilience model identification and parameter identification;
Step 5: when identifying damping curve, repeats step 1~4, but needs to record and all work as zi×zi+1< corresponding when 0
Data sequence, and at ziInterpolation at '=0.
Experiment illustration:
Utilize above identification and recognition methods, certain rondelle vibration energy collector carried out kinetic parameter identification,
Result is as in figure 2 it is shown, wherein: (a) is 3-d recovery Massa Medicata Fermentata face;B () is rigidity data scatterplot and fitting result.Rigidity matching is adopted
With 5 order polynomials, as shown in formula (6).Damping recognition result is approximately linear, and its value is 6.28Ns/m.
fs(z)=3.61 × 104z+1.9×107z2-1.08×1011z3-8.1×1012z4+3.5×1017z5 (6)
The method presupposes resilience model, therefore to the various complex nonlinear equal energy of restoring force form owing to need not
Realize identification and identification.
Claims (1)
1. a Nonlinear dynamics parameter identification method for vibrating type energy harvester, utilizes experimental data to construct 3-d recovery
Massa Medicata Fermentata face, utilizes method of section to obtain harvester rigidity and amortization data sequence, it is characterised in that to comprise the steps:
Step 1: traversal point setSearch and record all working asTime corresponding data sequence: displacement (zi,
zi+1), speedWith restoring force (fi,fi+1);
Step 2: by data above centering interpolated value, searchTime displacement zi' and restoring force fi' data, obtain rigidity
Curve data sequence (zi’,fi’);
Step 3: to data sequence (zi’,fi') according to zi' carry out ascending order arrangement, draw stiffness curve z ' → f ';
Step 4: use method of least square, utilize polynomial equation to stiffness curve z → fsIt is fitted, obtains multinomial coefficient,
Complete resilience model identification and parameter identification;
Step 5: when identifying damping curve, repeats step 1~4, but needs to record and all work as zi×zi+1< data corresponding when 0
Sequence, and at ziInterpolation at '=0.
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Cited By (3)
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CN107703748A (en) * | 2017-10-09 | 2018-02-16 | 东南大学 | A kind of heavy-load robot static rigidity discrimination method based on biasing plate design |
CN110083911A (en) * | 2019-04-19 | 2019-08-02 | 西安交通大学 | A kind of modeling optimization method of electromagnetic vibration energy recovery system |
CN110377965A (en) * | 2019-06-26 | 2019-10-25 | 东南大学 | A kind of discrimination method of the flexible structure nonlinear characteristic containing hinge |
Citations (2)
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CN103812382A (en) * | 2013-11-07 | 2014-05-21 | 西安交通大学 | Nonlinear modeling method of broadband piezoelectric energy capture system |
US20150233440A1 (en) * | 2014-02-19 | 2015-08-20 | Massachusetts Institute Of Technology | Beam-Based Nonlinear Spring |
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CN103812382A (en) * | 2013-11-07 | 2014-05-21 | 西安交通大学 | Nonlinear modeling method of broadband piezoelectric energy capture system |
US20150233440A1 (en) * | 2014-02-19 | 2015-08-20 | Massachusetts Institute Of Technology | Beam-Based Nonlinear Spring |
Non-Patent Citations (3)
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GAETAN KERSCHEN等: "Past,present and future of nonlinear system identification in structural dynamics", 《MECHANICAL SYSTEM AND SIGNAL PROCESSING》 * |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107703748A (en) * | 2017-10-09 | 2018-02-16 | 东南大学 | A kind of heavy-load robot static rigidity discrimination method based on biasing plate design |
CN110083911A (en) * | 2019-04-19 | 2019-08-02 | 西安交通大学 | A kind of modeling optimization method of electromagnetic vibration energy recovery system |
CN110377965A (en) * | 2019-06-26 | 2019-10-25 | 东南大学 | A kind of discrimination method of the flexible structure nonlinear characteristic containing hinge |
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