CN111711448A - Rubidium atomic clock taming system and method - Google Patents
Rubidium atomic clock taming system and method Download PDFInfo
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- CN111711448A CN111711448A CN202010788251.6A CN202010788251A CN111711448A CN 111711448 A CN111711448 A CN 111711448A CN 202010788251 A CN202010788251 A CN 202010788251A CN 111711448 A CN111711448 A CN 111711448A
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 229910052701 rubidium Inorganic materials 0.000 title claims description 37
- IGLNJRXAVVLDKE-UHFFFAOYSA-N rubidium atom Chemical compound [Rb] IGLNJRXAVVLDKE-UHFFFAOYSA-N 0.000 title claims description 37
- 240000002627 Cordeauxia edulis Species 0.000 claims abstract description 4
- 238000001914 filtration Methods 0.000 claims abstract description 4
- 238000011161 development Methods 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03L—AUTOMATIC CONTROL, STARTING, SYNCHRONISATION OR STABILISATION OF GENERATORS OF ELECTRONIC OSCILLATIONS OR PULSES
- H03L7/00—Automatic control of frequency or phase; Synchronisation
- H03L7/26—Automatic control of frequency or phase; Synchronisation using energy levels of molecules, atoms, or subatomic particles as a frequency reference
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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- Stabilization Of Oscillater, Synchronisation, Frequency Synthesizers (AREA)
Abstract
The invention discloses an atomic clock taming system and a method, wherein the system comprises: the device comprises a phase discriminator, a filter, a PID controller, an atomic clock and a frequency divider; the method comprises the following steps: converting the frequency signal into a phase discrimination value by a phase discriminator, and filtering the phase discrimination value by a filter; the PID controller controls the atomic clock according to the phase discrimination value; and obtaining a learning process by adopting a supervised Hebb learning algorithm. The invention adopts the combination of learning algorithm and PID control, and improves the control precision and stability.
Description
Technical Field
The invention relates to the technical field of atomic clocks, in particular to a rubidium atomic clock taming system and a rubidium atomic clock taming method.
Background
The time-keeping function of the equipment is realized by adopting a satellite navigation system or an externally input clock signal to discipline an atomic clock. At present, various rubidium atomic clock manufacturers exist in China, the parameters of atomic clocks of different models are different, and corresponding control algorithms are also different. In the process of project research and development, different types of atomic clocks are often selected according to different research and development precision requirements; in the production process, atomic clocks of different models are often purchased for replacement use due to supply reasons, and each type of rubidium atomic clock adopts a set of control algorithm of atomic clock parameters according to atomic clock data provided by equipment manufacturers. When different models of rubidium atomic clocks are used, different control algorithms need to be reloaded.
The prior art has the following defects:
1) the method can only be applied to the debugged atomic clock;
2) the model of the rubidium atomic clock is changed, and the taming algorithm needs to be adapted again;
3) the rubidium atomic clock is seriously aged after being used for a long time, and the algorithm needs to be adapted and tamed again.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide a rubidium atomic clock taming system, including: the device comprises a phase discriminator, a filter, a PID controller, an atomic clock and a frequency divider; the phase discriminator is used for inputting and converting external frequency signals; the phase discriminator is connected with the PID controller through the filter; the PID controller is connected with the input end of the frequency divider through the atomic clock; the frequency divider is connected with the input end of the phase discriminator.
The rubidium atomic clock taming method comprises the following steps:
s1, converting the frequency signal into phase-identifying value by phase discriminator, filtering by filter;
and S2, controlling the rubidium atomic clock by the PID controller according to the phase discrimination value:
s21, let K be input variable, error value err (K), input value in (K), output value out (K), err (K) in (K) -out (K), and KpTo scale the learning speed, KiFor integral learning of speed, KdFor the differential learning rate, Δ u (k) is the k-th period PID adjustment value, then:
ΔU(k)＝Kp(err(k)-err(k-1))+Kierr(k)+Kd(err(k)-2err(k-1))+err(k-2))；
s22, setting:
X1(k)＝err(k)；
X2(k)＝err(k)-err(k-1)；
X3(k)＝err(k)-2err(k-1)+err(k-2)；
let the weighting coefficient be wi(k) Then, the expression of the PID algorithm is:
wherein:
s3, assuming that the phase identification value of rubidium atomic clock is Z (k) ═ err (k), the sum of PID regulation values of rubidium clock in k periods is U (k), and U (k) ═ U (k) ((k))k-1)+ΔU(k)，ηiFor learning speed, a learning process is obtained by adopting a supervised Hebb learning algorithm:
Δwi(k)＝ηiZ(k)U(k)Xi(k)；
then:
wi(k)＝w(k-1)+Δwi(k)；
s4 setting wpIs a proportional weighting coefficient, wiIs an integral weighting coefficient, wdIn order to differentiate the weighting coefficients,
the PID parameters are:
wp＝wp+Kp*Zk*U(k)*X2(k)；
wi＝wi+Ki*Zk*U(k)*X1(k)；
wd＝wd+Kd*Zk*U(k)*X3(k)；
s5 obtaining K in S21p、Ki、Kd。
The invention has the beneficial effects that:
1) the combination of learning algorithm and PID control is adopted, so that the control precision and stability are improved;
2) the portability is higher, the method is convenient to apply to more systems, and the dependence degree of software on hardware is reduced;
3) the automation degree of the domestication rubidium clock is enhanced, the universality is improved, the labor cost is reduced, and the development speed is improved.
Drawings
FIG. 1 is a system schematic of the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings in which:
as shown in fig. 1, the rubidium atomic clock taming system of the invention comprises: the device comprises a phase discriminator, a filter, a PID controller, an atomic clock and a frequency divider; the phase discriminator is used for inputting and converting external frequency signals; the phase discriminator is connected with the PID controller through the filter; the PID controller is connected with the input end of the frequency divider through the atomic clock; the frequency divider is connected with the input end of the phase discriminator.
The rubidium atomic clock taming method comprises the following steps:
s1, converting the frequency signal into phase-identifying value by phase discriminator, filtering by filter;
and S2, controlling the rubidium atomic clock by the PID controller according to the phase discrimination value:
s21, let K be input variable, error value err (K), input value in (K), output value out (K), err (K) in (K) -out (K), and KpTo scale the learning speed, KiFor integral learning of speed, KdFor the differential learning rate, Δ u (k) is the k-th period PID adjustment value, then:
ΔU(k)＝Kp(err(k)-err(k-1))+Kierr(k)+Kd(err(k)-2err(k-1))+err(k-2))；
s22, setting:
X1(k)＝err(k)；
X2(k)＝err(k)-err(k-1)；
X3(k)＝err(k)-2err(k-1)+err(k-2)；
let the weighting coefficient be wi(k) Then, the expression of the PID algorithm is:
wherein:
s3, assuming that the phase identification value of rubidium atomic clock is Z (k) ═ err (k), and the sum of PID adjustment values of rubidium clock in k periods is U (k), then U (k) ═ U (k-1) + delta U (k), ηiFor learning speed, a learning process is obtained by adopting a supervised Hebb learning algorithm:
Δwi(k)＝ηiZ(k)U(k)Xi(k)；
then:
wi(k)＝w(k-1)+Δwi(k)；
s4 setting wpIs proportionally addedWeight coefficient, wiIs an integral weighting coefficient, wdIn order to differentiate the weighting coefficients,
the PID parameters are:
wp＝wp+Kp*Zk*U(k)*X2(k)；
wi＝wi+Ki*Zk*U(k)*X1(k)；
wd＝wd+Kd*Zk*U(k)*X3(k)；
s5 obtaining K in S21p、Ki、KdS2 forms a closed-loop automatic control:
u (k) is the sum of the PID control results, PID control is once after one period, and U (k) is the sum of the results calculated in each period, namely the absolute center value of the rubidium atomic clock.
According to the method, the rubidium atomic clock learning and taming algorithm is combined, the rubidium atomic clock learning and taming algorithm can serve the rubidium atomic clock to control the whole period, and after the atomic clock is aged and aggravated in the later period, the algorithm can control the rubidium atomic clock more accurately, so that the control stability is guaranteed; the algorithm capable of rapidly identifying the control key parameters of the rubidium atomic clock reduces the coupling degree of the rubidium atomic clock and a software algorithm, ensures that the rubidium clock can be plugged and disconnected, and can rapidly improve the stability of the rubidium clock without being affected when the rubidium clock is controlled.
The combination of learning algorithm and PID control is adopted, so that the control precision and stability are improved; the portability is higher, the method is convenient to apply to more systems, and the dependence degree of software on hardware is reduced; the automation degree of the domestication rubidium clock is enhanced, the universality is improved, the labor cost is reduced, and the development speed is improved.
The technical solution of the present invention is not limited to the limitations of the above specific embodiments, and all technical modifications made according to the technical solution of the present invention fall within the protection scope of the present invention.
Claims (3)
1. Rubidium atomic clock taming system is characterized by comprising: the device comprises a phase discriminator, a filter, a PID controller, an atomic clock and a frequency divider; the phase discriminator is used for inputting and converting external frequency signals; the phase discriminator is connected with the PID controller through the filter; the PID controller is connected with the input end of the frequency divider through the original clock; the frequency divider is connected with the input end of the phase discriminator.
2. The rubidium atomic clock domesticating method is characterized by comprising the following steps:
s1, converting the frequency signal into phase-identifying value by phase discriminator, filtering by filter;
and S2, controlling the rubidium atomic clock by the PID controller according to the phase discrimination value:
s21, let K be input variable, error value err (K), input value in (K), output value out (K), err (K) in (K) -out (K), and KpTo scale the learning speed, KiFor integral learning of speed, KdFor the differential learning rate, Δ u (k) is the k-th period PID adjustment value, then:
ΔU(k)＝Kp(err(k)-err(k-1))+Kierr(k)+Kd(err(k)-2err(k-1))+err(k-2))；
s22, setting:
X1(k)＝err(k)；
X2(k)＝err(k)-err(k-1)；
X3(k)＝err(k)-2err(k-1)+err(k-2)；
let the weighting coefficient be wi(k) Then, the expression of the PID algorithm is:
wherein:
s3, assuming that the phase identification value of rubidium atomic clock is Z (k) ═ err (k), and the sum of PID adjustment values of rubidium clock in k periods is U (k), then U (k) ═ U (k-1) + delta U (k), ηiFor learning speed, a learning process is obtained by adopting a supervised Hebb learning algorithm:
Δwi(k)＝ηiZ(k)U(k)Xi(k)；
then:
wi(k)＝w(k-1)+Δwi(k)；
s4 setting wpIs a proportional weighting coefficient, wiIs an integral weighting coefficient, wdIn order to differentiate the weighting coefficients,
the PID parameters are:
wp＝wp+Kp*Zk*U(k)*X2(k)；
wi＝wi+Ki*Zk*U(k)*X1(k)；
wd＝wd+Kd*Zk*U(k)*X3(k)；
s5 obtaining K in S21p、Ki、Kd。
3. The rubidium atomic clock taming method as claimed in claim 2, wherein K in S21 is obtained in S5p、Ki、KdThe specific process comprises the following steps:
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|---|---|---|---|---|
| US4476445A (en) * | 1982-05-18 | 1984-10-09 | Eg&G, Inc. | Methods and apparatus for rapid and accurate frequency syntonization of an atomic clock |
| US20140028405A1 (en) * | 2012-07-27 | 2014-01-30 | Qualcomm Incorporated | Low power microfabricated atomic clock |
| US20150107510A1 (en) * | 2012-06-15 | 2015-04-23 | Picosun Oy | Coating a substrate web by atomic layer deposition |
| CN105790714A (en) * | 2016-04-06 | 2016-07-20 | 广州邦正电力科技有限公司 | Crystal oscillator taming method and crystal oscillator taming system based on SOPC technology |
| CN107505829A (en) * | 2017-08-28 | 2017-12-22 | 北京工业大学 | A kind of caesium fountain clock clock based on genetic algorithm optimization wavelet neural network and hydrogen clock frequency difference predictor method |
| CN207150567U (en) * | 2017-09-22 | 2018-03-27 | 天津昊海海峰科技有限公司 | Tame clock device |
| JP2018093271A (en) * | 2016-11-30 | 2018-06-14 | 株式会社リコー | Atomic oscillator and method for controlling atomic oscillator |
| US10311341B1 (en) * | 2015-08-27 | 2019-06-04 | Hrl Laboratories, Llc | System and method for online deep learning in an ultra-low power consumption state |
| CN110531380A (en) * | 2019-08-30 | 2019-12-03 | 长沙理工大学 | The device and method of satellite clock source low amplitude persistent anomaly for identification |
| CN110837219A (en) * | 2019-10-06 | 2020-02-25 | 中国计量科学研究院 | Virtual atomic clock system for monitoring entity atomic clock and working method |
-
2020
- 2020-08-07 CN CN202010788251.6A patent/CN111711448B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4476445A (en) * | 1982-05-18 | 1984-10-09 | Eg&G, Inc. | Methods and apparatus for rapid and accurate frequency syntonization of an atomic clock |
| US20150107510A1 (en) * | 2012-06-15 | 2015-04-23 | Picosun Oy | Coating a substrate web by atomic layer deposition |
| US20140028405A1 (en) * | 2012-07-27 | 2014-01-30 | Qualcomm Incorporated | Low power microfabricated atomic clock |
| US10311341B1 (en) * | 2015-08-27 | 2019-06-04 | Hrl Laboratories, Llc | System and method for online deep learning in an ultra-low power consumption state |
| CN105790714A (en) * | 2016-04-06 | 2016-07-20 | 广州邦正电力科技有限公司 | Crystal oscillator taming method and crystal oscillator taming system based on SOPC technology |
| JP2018093271A (en) * | 2016-11-30 | 2018-06-14 | 株式会社リコー | Atomic oscillator and method for controlling atomic oscillator |
| CN107505829A (en) * | 2017-08-28 | 2017-12-22 | 北京工业大学 | A kind of caesium fountain clock clock based on genetic algorithm optimization wavelet neural network and hydrogen clock frequency difference predictor method |
| CN207150567U (en) * | 2017-09-22 | 2018-03-27 | 天津昊海海峰科技有限公司 | Tame clock device |
| CN110531380A (en) * | 2019-08-30 | 2019-12-03 | 长沙理工大学 | The device and method of satellite clock source low amplitude persistent anomaly for identification |
| CN110837219A (en) * | 2019-10-06 | 2020-02-25 | 中国计量科学研究院 | Virtual atomic clock system for monitoring entity atomic clock and working method |
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