CN102890518A - Method and system for analyzing accelerometer temperature control system - Google Patents
Method and system for analyzing accelerometer temperature control system Download PDFInfo
- Publication number
- CN102890518A CN102890518A CN2012102288512A CN201210228851A CN102890518A CN 102890518 A CN102890518 A CN 102890518A CN 2012102288512 A CN2012102288512 A CN 2012102288512A CN 201210228851 A CN201210228851 A CN 201210228851A CN 102890518 A CN102890518 A CN 102890518A
- Authority
- CN
- China
- Prior art keywords
- voltage
- accelerometer
- temperature
- unit
- curve
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The invention provides a method and a system for analyzing an accelerometer temperature control system. The system comprises an accelerometer, a voltage difference judgment unit, a differential amplification unit, a voltage-to-current conversion unit, a heating unit, a temperature detection unit, a current-to-voltage conversion unit, a cooling unit and a relation curve fitting unit. By the method, the units are analyzed on the basis that the units are used for working, so that parameter values of the units in the optimal working state are obtained, and the design of the actual accelerometer temperature control system is guided. By the method and the system, the error of the design and actual control system of the units in the system can be well analyzed, and the accelerometer temperature control system is continuously improved and adjusted, so that the design of the accelerometer temperature control system is well guided.
Description
Technical field
The present invention relates to the temperature control system technology, particularly a kind of ACTE control analysis method and systems technology field thereof.
Background technology
Accelerometer is as the important devices of inertia measurement, has that precision is high, long-time stability good, is fit to the advantage of small acceleration analysis.The variation of the environmental loads such as temperature, vibration and magnetic field all can affect the accelerometer output accuracy, wherein the impact of temperature is particularly important, therefore, need to consider the impact of environment temperature when carrying out the inertial navigation system design, need the design temperature control system for Platform Inertial Navigation System, for accelerometer provides a working environment that temperature is relatively constant, thereby improve navigation accuracy.
At present, the defective of ACTE control system is: the thermal capacitance of controlled device and heat-conduction coefficient are difficult for measuring, and lack accurate model, therefore, set up accurate ACTE control system, need to make progress at aspects such as temperature control system analytical approach, modeling methods.But in the prior art, the design of temperature control circuit in the ACTE control system gathers to realize by continuous examination, lacks the theory support of thermal design, when environment change, the phenomenons such as control accuracy is overproof can occur.For the links of ACTE control system, lack necessary analysis basis for estimation, do not consider the links of ACTE control and the error between the real system.
Summary of the invention
The object of the invention is to overcome the prior art deficiency, a kind of analytical approach and analytic system of ACTE control system is provided.
Technical solution of the present invention:
A kind of ACTE control system analysis method comprises the steps:
The variation conversion that step 4, temperature sensing unit will detect the temperature of described accelerometer inside turns to curent change and is transferred to the current conversion voltage cell and is converted to feedback voltage;
The temperature variation that described temperature sensor will detect described accelerometer inside also comprises time delay process when being converted into curent change
Analysis, τ is delay time, a plurality of τ numerical value according to default draw τ when different value, the response curve that system is corresponding and stable state curve then become large with delay time τ and system overshoot and steady-state error become greatly.
When described accelerometer is carried out saturated heating, also comprise the single order identification model of heated condition being set up heat voltage and a temperature
Wherein, K is scale-up factor, and T is inertia time constant, utilizes Recursive Extended Least Squares Method to carry out identification of Model Parameters to described single order identification model, draws temperature and becomes large identification curve with the voltage increase of heating.
Also comprise the in proportion m increase with described inertia time constant T, a plurality of m numerical value according to default draw m when different value, the response curve that system is corresponding and stable state curve, and then constant T becomes large and relation curve that system overshoot and steady-state error diminish in time.
Also comprise described cooling state is set up the single order identification model
Wherein, Kj is cooling link scale-up factor, Tj is cooling link inertia time constant, by so that accelerometer behind certain temperature levels, stopped heating, the output of pressing certain frequency collecting temperature sensor, be down to room temperature to ACTE till, utilize the recursive algorithm of Recursive Extended Least Squares Method to carry out identification, obtain the identification curve of cooling temperature and time.
Also comprise and set up a little inertial element
A plurality of numerical value k according to default draw k when different value, and the response curve that described control system is corresponding and stable state curve then become large and described control system overshoot with k and steady-state error becomes large.
The present invention also provides a kind of ACTE control analysis system, comprises accelerometer, a voltage difference judging unit, is used for judging that whether feedback voltage is less than setting voltage;
One differential amplification unit, the voltage difference delta U that is used for amplifying described system feedback voltage and described setting voltage obtains;
One voltage transitions current unit, described voltage transitions current unit comprises judge module and modular converter, described judge module judges described modular converter duty, if it is in the saturation region, described u then
0Be converted to constant current signal, thereby the heating element that is transferred to described accelerometer carries out saturated heating to described accelerometer inside, if amplification region, then u
0Be converted to the proportional electric current of voltage difference delta U numerical value and through described heating element saturated heating carried out in described accelerometer inside; If the dead band then stops described accelerometer heating, described accelerometer enters the cooling state;
One intensification unit receives the electric current through described voltage transitions current unit conversion, and described accelerometer is heated up;
One temperature detecting unit is for detection of the temperature of described accelerometer inside;
One current conversion voltage cell, the electric current that receives described temperature detecting unit transmission is converted into feedback voltage;
One cooling unit is used to the accelerometer radiating and cooling.
One relation curve match unit is used for the relation of each unit variable of match and system overshoot and steady-state error, and selects optimum value.
Described temperature detecting unit also comprises a temperature sensor and a time delay module, and described temperature sensor is used for the temperature of sensitive acceleration meter inside, and time delay module is used for setting time delay process e
-τ s
The present invention's beneficial effect compared with prior art:
ACTE control analysis method provided by the invention, the actual acceleration temperature control system is analyzed, by to the parameter optimization of differential amplification link, to the analysis of voltage transitions electric current process, time delay process, and to heat up, the cooling link carries out modeling analysis, obtain each link error situation, verified Systems balanth, for the ACTE control system design provides more accurately reference and enlightenment.
Description of drawings
Included accompanying drawing is used to provide the further understanding to the embodiment of the invention, and it has consisted of the part of instructions, is used for the illustration embodiments of the invention, and comes together to explain principle of the present invention with text description.Apparently, the accompanying drawing in the following describes only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is ACTE control system analysis process flow diagram;
Fig. 2 is ACTE control system analysis system chart;
Fig. 3 is voltage transitions current unit circuit structure diagram schematic diagram;
Fig. 4 is the graph of relation of voltage and electric current in the voltage transitions electric current;
Fig. 5 is that the differential amplification coefficient is 800 system responses curves and stable state curve map;
Fig. 6 is that the differential amplification coefficient is 80 system responses curves and stable state curve map;
Fig. 7 is that the differential amplification coefficient is 8 system responses curves and stable state curve map;
Fig. 8 is amplification coefficient S
nWith overshoot and systematic steady state error relationship curve map;
Fig. 9 is intensification Model Distinguish curve and intensification Model Distinguish error curve diagram;
Figure 10 is 1s response curve and stable state curve map for time-delay;
Figure 11 is 3s response curve and stable state curve map for time-delay;
Figure 12 is 5s response curve and stable state curve map for time-delay;
Figure 13 is delay time and overshoot and systematic steady state error relationship curve map;
Figure 14 is m response curve and stable state curve map when being 10%;
Figure 15 is m response curve and stable state curve map when being 30%;
Figure 16 is m response curve and stable state curve map when being 50%;
Figure 17 is delay time and overshoot and systematic steady state error relationship curve map;
Figure 18 is that little inertial element is
The time response curve and stable state curve map;
Figure 19 is that little inertial element is
Response curve and stable state curve map;
The little inertial element of Figure 20 is
Response curve and stable state curve map;
Figure 21 is little inertial element and overshoot and systematic steady state error relationship curve map;
Figure 22 is cooling Model Distinguish curve and cooling Model Distinguish error curve diagram.
Embodiment
The present invention is described in detail below in conjunction with accompanying drawing and instantiation.
A kind of ACTE control system analysis method is based on the analysis that as shown in Figure 1 ACTE control system process flow diagram is carried out:
Be illustrated in figure 3 as voltage transitions current unit circuit structure diagram, wherein, u
0The voltage after the differential amplification unit amplifies, β
1=100 and β
2=30 are respectively T
1And T
2Enlargement factor, U
BE1And U
BE2Be respectively T
1And T
2Conducting the time base stage and emitter voltage.i
cBe output current.
1. saturation region: the voltage equation that is in critical state of saturation is:
Wherein, U
jBe the supply voltage of heating; R
jResistance for the element of heating; U
Ce2Be the voltage U between transistor T 2 collector and emitter when saturated
Be1And U
Be2Base stage when being respectively transistor T 1 and T2 saturated and the voltage between the emitter;
That is, work as u
o＞1.5275 o'clock, U
CeVoltage is in saturated less than 0.3V.
This moment, output current was:
i
c＝(29-0.3)/150＝0.1913A (5)
2. cut-off region: work as u
o＜(U
BE1+ U
BE2) time, i.e. u
oDuring＜1.4V, I
B1Be transistor T
1Base current, this moment electric current be about 0A, triode is in the cut-off duty, this moment output current be:
i
c＝0 (6)
3. amplification region: U
BE1+ U
BE2≤ u
0≤ U
Saturated, namely as 1.4V≤u
oDuring≤1.5275V, triode is in the amplification duty.
This moment, the formula of voltage transitions electric current was:
i
c＝1.5×(u
o-1.4) (7)
To sum up, work as U
BE1+ U
BE2≤ u
0≤ U
SaturatedThe time, i
c=0.1252u
oTransistor is in the amplification duty, and this moment, the formula of voltage transitions electric current was: i
c=1.5 * (u
o-1.4); Work as u
o＜(U
BE1+ U
BE2), transistor is in the cut-off duty, and this moment, output current was: i
c=0; Work as u
0＞U
SaturatedThe time be in saturated, at this moment, described u then
0Be converted to constant current signal i
c=(29-0.3)/and 150=0.1913A, accelerometer is carried out the steady current heating.Thereby draw the graph of relation of voltage and electric current in the voltage transitions electric current as shown in Figure 4.
The variation conversion that step 4, temperature sensing unit will detect the temperature of described accelerometer inside turns to curent change and is transferred to the current conversion voltage cell and is converted to feedback voltage;
The differential amplification coefficient is 800: the rise time is 490s; Overshoot is: 0.42%; The systematic steady state error is ± 0.047 ℃.(as shown in Figure 5)
The differential amplification coefficient is 80: the rise time is 485s; Overshoot is: 0.15%; The systematic steady state error is ± 0.038 ℃.(as shown in Figure 6)
The differential amplification coefficient is 8: the rise time is 390s; Overshoot is: 0.48%; The systematic steady state error is ± 0.06 ℃.(as shown in Figure 7)
In summary, as can be known with amplification coefficient S
nBecome the curve that large described system overshoot Cheng Chengxian raises and reduces, and the systematic steady state error is in same level.(as shown in Figure 8)
Those skilled in the art can carry out a plurality of preset values in the scope that allows according to the common practise of this area and select, but its result conforms to above-mentioned conclusion.
Further, when the present invention carried out saturated heating to described accelerometer, the precision for the actual temperature control system considering to design also comprised heated condition is analyzed, and carries out following steps:
1) sets the sheet operating voltage 29V that heats;
2) utilize the digital collection system every the output of 1 second record temperature sensor, till design temperature 75 degree;
3) disconnect the sheet power supply of heating, accelerometer cooling data acquisition;
4) data of taking are carried out identification, setting up the intensification model is the single order identification model
Wherein, K is scale-up factor, and T is inertia time constant, and Δ u is the voltage on the element of heating, and Δ t is the sampling period, utilizes Recursive Extended Least Squares Method to carry out identification of Model Parameters to described single order identification model, draws identification model and is
Thereby drawing as shown in Figure 9, temperature increases intensification Model Distinguish curve and the intensification Model Distinguish graph of errors that becomes large with the voltage of heating.
For described single order identification model being utilized Recursive Extended Least Squares Method carry out the computation process of identification of Model Parameters, be the common practise of this area, specifically can with reference to " process identification " (Fang Chongzhi chief editor, publishing house of Tsing-Hua University), repeat no more herein.
Further, when the present invention entered the cooling state to described accelerometer, the precision for the actual temperature control system considering to design also comprised the cooling state is analyzed, and carries out following steps:
(1) sets the sheet operating voltage 29V that heats;
(2) till design temperature 70 degree, disconnect the sheet power supply of heating, to design temperature to normal temperature till;
(3) utilize the digital collection system every the output of 1 second record temperature sensor, accelerometer cooling data acquisition;
(4) data of taking are carried out identification, setting up the intensification model is the single order identification model:
Wherein, T is the design temperature that begins to lower the temperature, and wherein, k draws identification model to be for cooling scale-up factor, t utilizes Recursive Extended Least Squares Method to carry out identification of Model Parameters for the cooling inertia time constant to described single order identification model
Thereby draw lower the temperature as shown in figure 22 Model Distinguish curve and cooling Model Distinguish graph of errors.
For described single order identification model being utilized Recursive Extended Least Squares Method carry out the computation process of identification of Model Parameters, be the common practise of this area, specifically can with reference to " process identification " (Fang Chongzhi chief editor, publishing house of Tsing-Hua University), repeat no more herein.
Further, for the temperature closed loop temperature control system of setting up, carried out following analysis:
(1) time delay process changes, and the hypothesis delay time is respectively 1s, 3s and 5s in the present embodiment, obtains respectively system responses curve and steady-state error curve shown in Figure 10,11,12.
The result shows: when delaying time as 1s, the rise time is 485s; Overshoot is: 0.1%; The systematic steady state error is ± 0.009 ℃.(as shown in figure 10)
When time-delay was 3s: the rise time was 485s; Overshoot is: 0.15%; The systematic steady state error is ± 0.04 ℃.(as shown in figure 11)
When time-delay was 5s: the rise time was 485s; Overshoot is: 0.55%; The systematic steady state error is ± 0.225 ℃.(as shown in figure 12)
In sum: delay time is longer, and overshoot is larger, and the systematic steady state error is larger.(as shown in figure 13)
Those skilled in the art can carry out a plurality of preset values in the scope that allows according to the common practise of this area and select, but its result conforms to above-mentioned conclusion.
(2) add inertia time constant variation in the temperature model, with in proportion m increase of described inertia time constant T, according to default a plurality of m numerical value, draw m when different value, the response curve that system is corresponding and stable state curve, in the present embodiment, suppose that inertia time constant becomes respectively large 10%, 30% and 50%, system responses curve and steady-state error curve when obtaining respectively as shown in the figure inertia time constant and becoming large.
The result shows: when inertia time constant became large 10%, the rise time was 535s; Overshoot is: 0.33%; The systematic steady state error is ± 0.028 ℃.(as shown in figure 14)
When in like manner, inertia time constant became large 30%: the rise time was 630s; Overshoot is: 0.22%; The systematic steady state error is ± 0.015 ℃.(as shown in figure 15)
When inertia time constant became large 50%: the rise time was 710s; Overshoot is: 0.15%; The systematic steady state error is ± 0.005 ℃.(as shown in figure 16)
In sum: when inertia time constant was larger, overshoot was less, and the systematic steady state error is less.(as shown in figure 17)
Those skilled in the art can carry out a plurality of preset values in the scope that allows according to the common practise of this area and select, but its result conforms to above-mentioned conclusion.
(3) add little inertial element, owing to the modeling for each link is to suppose ideally, may also there be some little inertial elements in the centre, thereby also exists little inertial element to be in the supposing the system
A plurality of numerical value k according to default draw k when different value, the response curve that described ACTE control system is corresponding and stable state curve, and in the present embodiment, little inertial element is selected respectively
With
The result shows: little inertial element is,
Rise time is 490s; Overshoot is: 0.22%; The systematic steady state error is ± 0.008 ℃.(as shown in figure 18)
Little inertial element is
Rise time is 490s; Overshoot is: 0.2%; The systematic steady state error is ± 0.007 ℃.(as shown in figure 19)
Little inertial element is
Rise time is 490s; Overshoot is: 0.39%; The systematic steady state error is ± 0.1 ℃.(as shown in figure 20)
In sum, little inertial element coefficient is larger, and the rise time is similar, and overshoot is larger, and the systematic steady state error is larger.(as shown in figure 21)
Those skilled in the art can carry out a plurality of preset values in the scope that allows according to the common practise of this area and select, but its result conforms to above-mentioned conclusion.
The present invention also provides a kind of ACTE control analysis system, comprises accelerometer, also comprises a voltage difference judging unit, is used for judging that whether feedback voltage U ' is less than setting voltage U;
One differential amplification unit, be used for amplifying described system feedback voltage U ' with the voltage difference delta U of described setting voltage U;
One voltage transitions current unit, described voltage transitions current unit comprises judge module and modular converter, described judge module is judged described modular converter duty, if it is in the saturation region, then described Δ U ' is converted to constant current signal, thereby the heating element that is transferred to described accelerometer carries out saturated heating to described accelerometer inside, if the amplification region, then Δ U ' is converted to the proportional electric current of voltage difference delta U numerical value and through described heating element saturated heating is carried out in described accelerometer inside; If the dead band then stops described accelerometer heating, described accelerometer enters the cooling state;
One intensification unit receives the electric current through described voltage transitions current unit conversion, and described accelerometer is heated up;
One temperature detecting unit is for detection of the temperature of described accelerometer inside;
One current conversion voltage cell, the electric current that receives described temperature detecting unit transmission is converted into feedback voltage U
0
One cooling unit is used to the accelerometer radiating and cooling.
One relation curve match unit is used for the relation of each unit variable of match and system overshoot and steady-state error, and selects optimum value.
The unspecified part of the present invention is technology as well known to those skilled in the art.
Claims (8)
1. an ACTE control system analysis method is characterized in that comprising the steps:
Step 1 is set the corresponding voltage of working temperature that accelerometer is expected, whether judges observed temperature sensor U ' less than described setting voltage, if then enter next step;
Step 2, setting the differential amplification coefficient is S
n, according to default a plurality of S
nNumerical value, the voltage difference delta U with described ACTE control system feedback voltage and described setting voltage multiplies each other respectively, and voltage signal is enlarged into u
0And be transferred to the voltage transitions current unit;
Step 3, described voltage transitions current unit is judged, if it is in the saturation region, accelerometer enters soaking condition, then described Δ U is converted to constant current signal, thereby the heating element that is transferred to described accelerometer carries out saturated heating to described accelerometer inside, if the amplification region, accelerometer enters soaking condition, then u
0Be converted to the proportional electric current of described voltage difference delta U numerical value and through heating element saturated heating carried out in described accelerometer inside; If the dead band then stops described accelerometer heating, described accelerometer enters the cooling state;
The variation conversion that step 4, temperature sensing unit will detect the temperature of described accelerometer inside turns to curent change and is transferred to the current conversion voltage cell and is converted to feedback voltage;
Step 5, whether less than described setting voltage, if then get back to step 2, if not, then described voltage transitions electric current link is in the dead band state with described feedback voltage in judgement, then stops described accelerometer heating is entered the cooling state.
Step 6 is obtained S
nWhen different value, the response curve of accelerometer control system and stable state curve are then with amplification coefficient S
nBecome the trend that large overshoot Cheng Chengxian raises and reduces, and the systematic steady state error is in same level.
2. analytical approach according to claim 1 is characterized in that also comprising time delay process when temperature variation that described temperature sensor will detect described accelerometer inside is converted into curent change
Analysis, τ is delay time, a plurality of τ numerical value according to default draw τ when different value, the response curve that system is corresponding and stable state curve then become large with delay time τ and system overshoot and steady-state error become greatly.
3. analytical approach according to claim 1 when it is characterized in that described accelerometer carried out saturated heating, also comprises the single order identification model of heated condition being set up heat voltage and a temperature
Wherein, K is scale-up factor, and T is inertia time constant, utilizes Recursive Extended Least Squares Method to carry out identification of Model Parameters to described single order identification model, draws temperature and becomes large identification curve with the voltage increase of heating.
4. analytical approach according to claim 3, characterized by further comprising the in proportion m increase with described inertia time constant T, according to default a plurality of m numerical value, draw m when different value, the response curve that system is corresponding and stable state curve, then constant T becomes large and relation curve that system overshoot and steady-state error diminish in time.
5. analytical approach according to claim 1 characterized by further comprising described cooling state is set up the single order identification model
Wherein, K
jBe cooling link scale-up factor, T
jBe cooling link inertia time constant, by so that accelerometer behind certain temperature levels, stopped heating, press the output of certain frequency collecting temperature sensor, till being down to room temperature to ACTE, utilize the recursive algorithm of Recursive Extended Least Squares Method to carry out identification, obtain the identification curve of cooling temperature and time.
6. ACTE control system analysis method according to claim 1 characterized by further comprising and sets up a little inertial element
A plurality of numerical value k according to default draw k when different value, and the response curve that described control system is corresponding and stable state curve then become large and described control system overshoot with k and steady-state error becomes large.
7. an ACTE control analysis system comprises accelerometer, characterized by further comprising with lower unit: a voltage difference judging unit is used for judging that whether feedback voltage is less than setting voltage;
One differential amplification unit, the voltage difference delta U that is used for amplifying described system feedback voltage and described setting voltage obtains;
One voltage transitions current unit, described voltage transitions current unit comprises judge module and modular converter, described judge module judges described modular converter duty, if it is in the saturation region, described u then
0Be converted to constant current signal, thereby the heating element that is transferred to described accelerometer carries out saturated heating to described accelerometer inside, if amplification region, then u
0Be converted to the proportional electric current of voltage difference delta U numerical value and through described heating element saturated heating carried out in described accelerometer inside; If the dead band then stops described accelerometer heating, described accelerometer enters the cooling state;
One intensification unit receives the electric current through described voltage transitions current unit conversion, and described accelerometer is heated up;
One temperature detecting unit is for detection of the temperature of described accelerometer inside;
One current conversion voltage cell, the electric current that receives described temperature detecting unit transmission is converted into feedback voltage;
One cooling unit is used to the accelerometer radiating and cooling.
One relation curve match unit is used for the relation of each unit variable of match and system overshoot and steady-state error, and selects optimum value.
8. ACTE control analysis according to claim 7 system, it is characterized in that described temperature detecting unit comprises a temperature sensor and a time delay module, described temperature sensor is used for the temperature of sensitive acceleration meter inside, and time delay module is used for setting time delay process e
-τ s
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210228851.2A CN102890518B (en) | 2012-07-04 | 2012-07-04 | Method and system for analyzing accelerometer temperature control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210228851.2A CN102890518B (en) | 2012-07-04 | 2012-07-04 | Method and system for analyzing accelerometer temperature control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102890518A true CN102890518A (en) | 2013-01-23 |
| CN102890518B CN102890518B (en) | 2015-07-22 |
Family
ID=47534044
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210228851.2A Active CN102890518B (en) | 2012-07-04 | 2012-07-04 | Method and system for analyzing accelerometer temperature control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102890518B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104834330A (en) * | 2015-04-27 | 2015-08-12 | 北京控制工程研究所 | Liquid floated pendulum type accelerometer temperature control model parameter identification method |
| CN108362472A (en) * | 2017-12-13 | 2018-08-03 | 中国特种飞行器研究所 | A kind of submarine navigation device model stability test module |
| CN115237179A (en) * | 2022-09-22 | 2022-10-25 | 之江实验室 | Intelligent temperature control management circuit based on machine learning |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011090609A (en) * | 2009-10-26 | 2011-05-06 | Yamatake Corp | Temperature control device and temperature control method |
| CN102288316A (en) * | 2011-08-29 | 2011-12-21 | 杭州鸿程科技有限公司 | Digital transformer winding temperature measuring device |
| CN102354244A (en) * | 2011-06-16 | 2012-02-15 | 北京七星华创电子股份有限公司 | Temperature feed-forward compensation method for semiconductor heat treatment process |
| CN102435334A (en) * | 2011-08-29 | 2012-05-02 | 杭州鸿程科技有限公司 | Method for measuring temperature of transformer winding |
-
2012
- 2012-07-04 CN CN201210228851.2A patent/CN102890518B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011090609A (en) * | 2009-10-26 | 2011-05-06 | Yamatake Corp | Temperature control device and temperature control method |
| CN102354244A (en) * | 2011-06-16 | 2012-02-15 | 北京七星华创电子股份有限公司 | Temperature feed-forward compensation method for semiconductor heat treatment process |
| CN102288316A (en) * | 2011-08-29 | 2011-12-21 | 杭州鸿程科技有限公司 | Digital transformer winding temperature measuring device |
| CN102435334A (en) * | 2011-08-29 | 2012-05-02 | 杭州鸿程科技有限公司 | Method for measuring temperature of transformer winding |
Non-Patent Citations (2)
| Title |
|---|
| 过润秋等: "基于加速度计的模糊自适应温度控制方法研究", 《弹箭与制导学报》, vol. 25, no. 4, 15 November 2005 (2005-11-15) * |
| 黄卫权等: "加速度计温度控制系统设计与实现", 《应用科技》, vol. 37, no. 2, 15 February 2010 (2010-02-15) * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104834330A (en) * | 2015-04-27 | 2015-08-12 | 北京控制工程研究所 | Liquid floated pendulum type accelerometer temperature control model parameter identification method |
| CN104834330B (en) * | 2015-04-27 | 2017-05-03 | 北京控制工程研究所 | Liquid floated pendulum type accelerometer temperature control model parameter identification method |
| CN108362472A (en) * | 2017-12-13 | 2018-08-03 | 中国特种飞行器研究所 | A kind of submarine navigation device model stability test module |
| CN115237179A (en) * | 2022-09-22 | 2022-10-25 | 之江实验室 | Intelligent temperature control management circuit based on machine learning |
| CN115237179B (en) * | 2022-09-22 | 2023-01-20 | 之江实验室 | Intelligent temperature control management circuit based on machine learning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102890518B (en) | 2015-07-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hejri et al. | An analytical-numerical approach for parameter determination of a five-parameter single-diode model of photovoltaic cells and modules | |
| CN103398784B (en) | Self-rectification circuit for infrared thermopile temperature sensor | |
| CN102297735B (en) | Standard constant temperature bath touch screen intelligent measurement control and automatic metering detection system | |
| CN102116829B (en) | Method and device for measuring thermal resistance of diode | |
| Torres et al. | Online monitoring system for stand-alone photovoltaic applications—Analysis of system performance from monitored data | |
| CN102452020A (en) | Quantitative analyzing method for temperature fields and thermal deformations of cutter of numerical control machine tool | |
| CN105651409A (en) | Thermocouple cold junction compensation and temperature measurement circuit and device | |
| CN102890518B (en) | Method and system for analyzing accelerometer temperature control system | |
| CN104113281A (en) | Novel multi-channel solar cell module test system and double intelligent scan method | |
| Rachid | Tracing current-voltage curve of solar panel Based on LabVIEW Arduino Interfacing | |
| JP2008098252A (en) | Information processing device for characteristic evaluation of solar cell, program for characteristic evaluation of solar cell and characteristic evaluation system for solar cell | |
| CN103149955B (en) | Temperature accurate control device used for integrated cavity spectrum technology isotope analysis | |
| Nakir et al. | A new MPPT algorithm for vehicle integrated solar energy system | |
| CN101788639A (en) | APD (Angular position digitizer) voltage and temperature curve testing device and use method thereof | |
| CN203069740U (en) | Thermal resistance test apparatus for semiconductor power device | |
| CN202119874U (en) | Measure apparatus of diode thermal resistance | |
| Nadeem | Performance evaluation of online open-circuit voltage estimation method for photovoltaic system | |
| CN115629297A (en) | Method, device, equipment and medium for detecting accuracy of thermal resistance value of MCU chip | |
| CN204064363U (en) | A kind of sensor circuit for thermal type gas quality flow meter | |
| Ionescu et al. | PV module behavior model for different external factors conditions | |
| Tofoli et al. | Comparison among mathematical models of the photovoltaic cell for computer simulation purposes | |
| Ji et al. | The design of data acquisition system based on virtual instrument | |
| Jadin et al. | Development of PV module power degradation analyzer | |
| Franklin et al. | Development of cost effective data acquisition system to evaluate the performance of solar photovoltaic thermal systems | |
| CN206848839U (en) | Apply the thermostatic control system in full-automatic food safely and fast detector |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |