CN105656560B - The light power control method of erbium-doped fiber amplifier - Google Patents
The light power control method of erbium-doped fiber amplifier Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/29—Repeaters
- H04B10/291—Repeaters in which processing or amplification is carried out without conversion of the main signal from optical form
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Abstract
The invention discloses a kind of light power control method of erbium-doped fiber amplifier, erbium-doped fiber amplifier (EDFA) determines the desired value of Output optical power according to setting value and input optical power；Feedforward control DAC increments are determined according to the desired value variable quantity and proportionality constant of the Output optical power of the determination；The difference of desired value and model predication value further according to the Output optical power determines feedback control DAC increments；Finally, current period DAC output valves are determined according to the feedforward control DAC increments, feedback control DAC increments and the DAC output valves in last period.The present invention reduces the complexities of production link, and being substantially improved for system performance can be realized on the basis of original numerical control system.
Description
Technical field
The present invention relates to optical transmission systems, and in particular to a kind of light power control method of erbium-doped fiber amplifier.
Background technology
The appearance of image intensifer, especially EDFA Erbium-Doped Fiber Amplifier (EDFA) accelerates the development of optic communication.EDFA itself
It has the following advantages：To data format and transparent rate；Gain is big, noise is small, and noise coefficient is close to quantum limit；Directly to light
Signal is amplified, and eliminates electrically regenerative repeater, saves cost；And gain band is roomy, expands transmission capacity.These
Advantage makes EDFA obtain widest application in optical communications.
EDFA's in use, when the input light of EDFA generates variation, PUMP driving currents such as cannot in time be made just
It really adjusts, the gain of remaining input wavelength just will produce fluctuation.When serious, even more so that remaining wavelength at all can not normal work
Make.
From the point of view of current EDFA situations, following control method is mainly used in EDFA modules
1, table look-up or calculate PUMP driving current values (CN according to DEFA input optical power values and its variation slope value
101158796 B)。
2, by proportional integral differential (PID) control algolithm, PUMP driving current values (101877615 B of CN) are calculated.
The first algorithm, due to not having introducing feedback mechanism, poor anti jamming capability.And EDFA equipment is needed before manufacture
There is a large amount of measurement data, increases production and processing cost.PUMP delivery efficiencies can be reduced with operating time simultaneously, can be made
Actual Control Effect of Strong becomes very poor.
Second algorithm, proportional integral differential (PID) control algolithm are a kind of classical industrial stokehold algorithms.It is one
The subsequent control algolithm of kind only just starts the electric current for adjusting PUMP when detecting output gain and setting gain generation deviation.
It can not thus accomplish very high gain stability.
Invention content
In view of this, the main purpose of the present invention is to provide a kind of light power control methods of erbium-doped fiber amplifier.
In order to achieve the above objectives, the technical proposal of the invention is realized in this way：
The embodiment of the present invention provides a kind of light power control method of erbium-doped fiber amplifier, and this method is：Er-doped fiber
Amplifier (EDFA) determines the desired value of Output optical power according to setting value and input optical power；According to the output of the determination
The desired value variable quantity and proportionality constant of luminous power determine feedforward control DAC increments；Further according to the target of the Output optical power
Value and the difference of model predication value determine feedback control DAC increments；Finally, according to the feedforward control DAC increments, feedback control
The DAC output valves in DAC increments and last period determine current period DAC output valves, i.e. pump electric currents driving value.
In said program, this method is as follows realization：
Step 201：The output power desired value for calculating EDFA, when EDFA is in permanent gain control mode, P_Goal (k)
=P_In (k) * Set_Gain+ASE (k)；When EDFA is in power limitation control pattern, P_Goal (k)=Set_Power；Institute
The desired value that P_Goal (k) is current Output optical power is stated, P_In (k) is current input optical power, and Set_Gain is that setting increases
Beneficial multiple, ASE (k) are current ASE power value, and Set_Power is Output optical power setting value；
Step 202：Calculate the feedforward control DAC increments of PUMP current values, Δ DAC_Feedforward (k)=(P_Goal
(k)-P_Goal (k-1)) * Constant_ff, P_Goal (k) is the desired value of current Output optical power, and P_Goal (k-1) is
The Output optical power desired value of previous sampling instant, Constant_ff are feedforward control coefficients；
Step 203：Detect EDFA real output P_Out (k) and compared with model predication value, computation model error
E=P_Out (k)-P_Predict (1/k-1), P_Predict (1/k-1) represent the current EDFA of previous sampling instant prediction
Output valve；
Step 204：Correct upper calculated model predication value P_Corrected (the i/k-1)=P_ of a sampling instant
Predict (i/k-1)+e*h (i), (i=1 ..., N), P_Corrected (i/k-1) is a revised upper sampling instant
Model predication value, P_Predict (i/k-1) are the calculated model predication values of a upper sampling instant, and e is model error current
Value, h (i) is correction factor, is determined in controller design, and general range is between 0-1, and 0 without anti-interference ability, system response
Soon；1 strong antijamming capability, system response are slow；
Step 205：The model prediction amendment for shifting previous sampling instant is worth to model under no drive current variations
Model predication value, P0_Predict (i/k)=P_Corrected (i+1/k-1), (i=1 ..., N-1)；
Step 206：Feedback control DAC increments are calculated,
D (i) is feedback control coefficient vector, is acquired by off-line calculation；P_Goal (k) is current goal power, is asked by step 201
, P0_Predict (i/k) is model predication value of the model under no drive current variations, the step of by a upper sampling instant
208 and current sample time step 203,204,205 acquire；M is span of control, and suitable value is selected in off-line calculation；
Step 207：By feedforward control DAC increments, feedback control DAC increments were added to obtain with last period DAC output valves
Current period DAC output valves；DAC (k)=DAC (k-1)+Δ DAC_Feedforward (k)+Δ DAC_Feedback (k), etc.
The DAC (k) on the formula left side is new DAC value, and the DAC (k-1) on the right of equation is the DAC output valves of a upper sampling instant, Δ DAC_
Feedforward (k) is feedforward control DAC increments, is acquired by step 202, and Δ DAC_Feedback (k) is feedback control DAC
Increment is acquired by step 206；
Step 208：Recalculate model predication value P_Predict (i/k)=P0_Predict (i/k)+a (i) * Δs DAC_
Feedback (k), P_Predict (i/k) are the obtained new model predicted value under increment DAC effects, P0_Predict (i/
K) it is model predication value of the model under no drive current variations, is last adopting after being corrected by step 203,204,205
208 calculated model predication value of sample time step, a (i) are EDFA unit-step response sequences.
In said program, which is characterized in that measure unit-step response of the PUMP electric currents to EDFA Output optical power first
Vectorial a={ a1,a1... ..., ap}；P is model time domain length；
It is predicted in PUMP current increment Δ i (k) at the t=kT moment ..., under the action of Δ i (k+M-1), EDFA is in the following P
The output power at a moment isIn formula,
The EDFA at P moment of future is defeated when the no current variation predicted for the t=kT moment
Go out power；For the t=kT moment predict have M PUMP current increment Δ i (k) ... ..., Δ i
(k+M-1) the EDFA output powers at P moment of future when；For the electricity at M moment from now on
Flow increment；Referred to as dynamic matrix, element are that the step of PUMP electric currents to EDFA output powers is rung
Answer coefficient.
In said program, the real output of EDFA is detected in time, and defeated with moment that model prediction computation obtains
Go out power to compare, calculates prediction errorThe pre- side value of later each moment output is also on the basis of model prediction
It is corrected：In formula,
The system predicted after error correction by t=(k+1) the T moment is in t=
(k+i) output at T (i=1 ..., N) moment,For error correction vectors.
In said program, it is in the optimality criterion of sampling instant t=kT
I.e. by selecting the PUMP current increment Δ i (k) ... at M moment from the moment, Δ i (k+M-1) that EDFA is made to exist
The output power at the following P (N >=P >=M) a momentAs close possible to its desired value ω (k+
1) ..., ω (k+P)；Section 2 in performance indicator is the constraint to current increment, that is, is not intended to the variation of electric current excessively acute
It is strong；In formula, qi, rjFor weight coefficient, P and M are referred to as optimization time domain length and control time domain length；Pass through extreme value necessary conditionAcquire the optimal current increment sequence that the t=kT moment solves
Vector [1,0 ..., 0] (A is multiplied by formulaTQA+R)-1ATObtain control coefrficient vector D.
Compared with prior art, beneficial effects of the present invention：
The present invention reduces the complexities of production link, can realize system on the basis of original numerical control system
Performance is substantially improved.
Description of the drawings
Fig. 1 provides a kind of flow chart of the light power control method of erbium-doped fiber amplifier for the embodiment of the present invention.
Specific implementation mode
The following describes the present invention in detail with reference to the accompanying drawings and specific embodiments.
The embodiment of the present invention provides a kind of light power control method of erbium-doped fiber amplifier, as shown in Figure 1, this method is logical
Cross following steps realization：
Step 101：Erbium-doped fiber amplifier (EDFA) determines Output optical power according to setting value and input optical power
Desired value；
Specifically, when EDFA is in power limitation control pattern, the desired value of the Output optical power is equal to output light work(
Rate setting value；
When EDFA is in permanent gain control mode, the desired value of the Output optical power is multiplied by equal to input optical power to be set
Determine gain factor, adds ASE power value.
Step 102：Feedforward control is determined according to the desired value variable quantity and proportionality constant of the Output optical power of the determination
DAC increments；
Step 103：Determine that feedback control DAC increases according to the difference of the desired value of the Output optical power and model predication value
Amount；
Specifically, being as follows：
Step 201：The output power desired value for calculating EDFA, when EDFA is in permanent gain control mode, P_Goal (k)
=P_In (k) * Set_Gain+ASE (k)；When EDFA is in power limitation control pattern, P_Goal (k)=Set_Power；Institute
The desired value that P_Goal (k) is current Output optical power is stated, P_In (k) is current input optical power, and Set_Gain is that setting increases
Beneficial multiple, ASE (k) are current ASE power value, and Set_Power is Output optical power setting value；
Step 202：Calculate the feedforward control DAC increments of PUMP current values, Δ DAC_Feedforward (k)=(P_Goal
(k)-P_Goal (k-1)) * Constant_ff, P_Goal (k) is the desired value of current Output optical power, and P_Goal (k-1) is
The Output optical power desired value of previous sampling instant, Constant_ff are feedforward control coefficients；
Step 203：Detect EDFA real output P_Out (k) and compared with model predication value, computation model error
E=P_Out (k)-P_Predict (1/k-1), P_Predict (1/k-1) represent the current EDFA of one sampling instant of money prediction
Output valve；
Step 204：Correct upper calculated model predication value P_Corrected (the i/k-1)=P_ of a sampling instant
Predict (i/k-1)+e*h (i), (i=1 ..., N), P_Corrected (i/k-1) is a revised upper sampling instant
Model predication value, P_Predict (i/k-1) are the calculated model predication values of a upper sampling instant, and e is model error current
Value, h (i) is correction factor, is determined in controller design, and general range is between 0-1, and 0 without anti-interference ability, system response
Soon；1 strong antijamming capability, system response are slow；
Step 205：The model prediction amendment for shifting previous sampling instant is worth to model under no drive current variations
Model predication value, P0_Predict (i/k)=P_Corrected (i+1/k-1), (i=1 ..., N-1)；
Step 206：Feedback control DAC increments are calculated,
D (i) is feedback control coefficient vector, is acquired by off-line calculation；P_Goal (k) is target power, is acquired by step 201,
P0_Predict (i/k) is model predication value of the model under no drive current variations, by the step 208 of a upper sampling instant
It is acquired with the step 203 of current sample time, 204,205；M is span of control, and suitable value is selected in off-line calculation；
Step 207：By feedforward control DAC increments, feedback control DAC increments were added to obtain with last period DAC output valves
Current period DAC output valves；DAC (k)=DAC (k-1)+Δ DAC_Feedforward (k)+Δ DAC_Feedback (k), etc.
The DAC (k) on the formula left side is new DAC value, and the DAC (k-1) on the right of equation is the DAC output valves of a upper sampling instant, Δ DAC_
Feedforward (k) is feedforward control DAC increments, is acquired by step 202, and Δ DAC_Feedback (k) is feedback control DAC
Increment is acquired by step 206；
Step 208：Recalculate model predication value P_Predict (i/k)=P0_Predict (i/k)+a (i) * Δs DAC_
Feedback (k), P_Predict (i/k) are the obtained new model predicted value under increment DAC effects, P0_Predict (i/
K) it is model predication value of the model under no drive current variations, the last sampling after being corrected by step 203,204,205
208 calculated model predication value of time step, a (i) are EDFA unit-step response sequences.
Specifically, the parameter in step 206-208 is prepared by the following：
(1) it determines sampling period T, detects the step response of object, model coefficient a={ a are obtained after smooth1,
a2,……,aN)；
(2) optimum prediction time domain length P and control time domain length M are found out using simulated program.Obtain system dynamic matrix
(3) Error weight weight coefficient matrix is determinedWith control weight coefficient matrix
(4) control coefrficient d is calculatedT=CT(ATQA+R)-1ATQ.Wherein CT=[1,0 ..., 0]；
(5) suitable correction coefficient [h is selected1,…,hN]；
H (i) is selected between 0-1, and 0 without anti-interference ability, and system response is fast；1 strong antijamming capability, system response are slow.
Step 104：It is exported according to the feedforward control DAC increments, feedback control DAC increments and the DAC in last period
Value determines current period DAC output valves, i.e. pump electric currents driving value.
Unit-step response vector a={ a of the PUMP electric currents to EDFA Output optical power is measured first1,a1... ..., ap}；P
For model time domain length；
It is predicted in PUMP current increment Δ i (k) at the t=kT moment ..., under the action of Δ i (k+M-1), EDFA is in the following P
The output power at a moment isIn formula,
The EDFA at P moment of future is exported when the no current variation predicted for the t=kT moment
Power；For the t=kT moment predict have M PUMP current increment Δ i (k) ... ..., Δ i (k+
The EDFA output powers at P moment of future when M-1)；For the electric current at M moment from now on
Increment；Referred to as dynamic matrix, element are step response of the PUMP electric currents to EDFA output powers
Coefficient.
The real output of detection EDFA in time, and compared with the moment output power that model prediction computation obtains
Compared with calculating prediction errorEach moment exports pre- side value and is also corrected on the basis of model prediction later：In formula,
The system predicted after error correction by t=(k+1) the T moment is in t=
(k+i) the output at T (i=1 ..., N) momentFor error correction vectors.
It is in the optimality criterion of sampling instant t=kT
I.e. by selecting the PUMP current increment Δ i (k) ... at M moment from the moment, Δ i (k+M-1) that EDFA is made to exist
The output power at the following P (N >=P >=M) a momentAs close possible to its desired value ω (k+
1) ..., ω (k+P)；Section 2 in performance indicator is the constraint to current increment, that is, is not intended to the variation of electric current excessively acute
It is strong；In formula, qi, rjFor weight coefficient, P and M are referred to as optimization time domain length and control time domain length；Pass through extreme value necessary conditionAcquire the optimal current increment sequence that the t=kT moment solves
Vector [1,0 ..., 0] (A is multiplied by formulaTQA+R)-1ATObtain control coefrficient vector D.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (5)
1. a kind of light power control method of erbium-doped fiber amplifier, which is characterized in that this method is：Erbium-doped fiber amplifier
(EDFA) it when in permanent gain control mode, is determined according to input optical power, setting gain factor and current ASE power value defeated
The desired value of light power determines Output optical power when in power limitation control pattern according to Output optical power setting value
Desired value；Feedforward control DAC increments are determined according to the desired value variable quantity and proportionality constant of the Output optical power of the determination；Again
Feedback control DAC increments are determined according to the difference of the desired value of the Output optical power and model predication value；Finally, according to before described
The sum of feedback control DAC increments, feedback control DAC increments and the DAC output valves in last period determine current period DAC outputs
Value, i.e. pump electric currents driving value.
2. the light power control method of erbium-doped fiber amplifier according to claim 1, which is characterized in that this method is specific
Steps are as follows realizes：
Step 201：The output power desired value for calculating EDFA, when EDFA is in permanent gain control mode, P_Goal (k)=P_
In(k)*Set_Gain+ASE(k)；When EDFA is in power limitation control pattern, P_Goal (k)=Set_Power；The P_
Goal (k) is the desired value of current Output optical power, and P_In (k) is current input optical power, and Set_Gain is setting gain times
Number, ASE (k) are current ASE power value, and Set_Power is Output optical power setting value；
Step 202：Calculate the feedforward control DAC increments of PUMP current values, Δ DAC_Feedforward (k)=(P_Goal (k)-
P_Goal (k-1)) * Constant_ff, P_Goal (k) is the desired value of current Output optical power, and P_Goal (k-1) is previous
The Output optical power desired value of sampling instant, Constant_ff are feedforward control coefficients；
Step 203：Detect EDFA real output P_Out (k) and compared with model predication value, computation model error e=
The current EDFA that P_Out (k)-P_Predict (1/k-1), P_Predict (1/k-1) represent previous sampling instant prediction is defeated
Go out value；
Step 204：Correct upper calculated model predication value P_Corrected (the i/k-1)=P_Predict of a sampling instant
(i/k-1)+e*h (i), (i=1 ..., N), P_Corrected (i/k-1) is a revised upper sampling instant model prediction
Value, P_Predict (i/k-1) is the calculated model predication value of a upper sampling instant, and e is model current error value, h (i)
It is correction factor, is determined in controller design, general range is between 0-1, and 0 without anti-interference ability, and system response is fast；1 is anti-
Interference performance is strong, and system response is slow；
Step 205：The model prediction amendment for shifting previous sampling instant is worth to mould of the model under no drive current variations
Type predicted value, P0_Predict (i/k)=P_Corrected (i+1/k-1), (i=1 ..., N-1)；
Step 206：Feedback control DAC increments are calculated,
D (i) is feedback control coefficient vector, is acquired by off-line calculation；P_Goal (k) is current goal power, is asked by step 201
, P0_Predict (i/k) is model predication value of the model under no drive current variations, the step of by a upper sampling instant
208 and current sample time step 203,204,205 acquire；M is span of control, and suitable value is selected in off-line calculation；
Step 207：By feedforward control DAC increments, feedback control DAC increments were added to obtain with last period DAC output valves current
Period DAC output valve；DAC (k)=DAC (k-1)+Δ DAC_Feedforward (k)+Δ DAC_Feedback (k), equation are left
The DAC (k) on side is new DAC value, and the DAC (k-1) on the right of equation is the DAC output valves of a upper sampling instant, Δ DAC_
Feedforward (k) is feedforward control DAC increments, is acquired by step 202, and Δ DAC_Feedback (k) is feedback control DAC
Increment is acquired by step 206；
Step 208：Recalculate model predication value P_Predict (i/k)=P0_Predict (i/k)+a (i) * Δs DAC_
Feedback (k), P_Predict (i/k) are the obtained new model predicted value under increment DAC effects, P0_Predict (i/
K) it is model predication value of the model under no drive current variations, is last adopting after being corrected by step 203,204,205
208 calculated model predication value of sample time step, a (i) are EDFA unit-step response sequences.
3. the light power control method of erbium-doped fiber amplifier according to claim 2, which is characterized in that
Unit-step response vector a={ a of the PUMP electric currents to EDFA Output optical power is measured first1,a1... ..., ap}；P is mould
Type time domain length；
It being predicted in PUMP current increment △ i (k) at the t=kT moment ..., under the action of △ i (k+M-1), T is the sampling period,
Output powers of the EDFA at the following P moment beIn formula,
The EDFA output powers at P moment of future when the no current variation predicted for the t=kT moment；For the t=kT moment predict have a M PUMP current increment △ i (k) ... ..., when △ i (k+M-1)
The EDFA output powers at the following P moment；For the current increment at M moment from now on；Referred to as dynamic matrix, element are step-response coefficients of the PUMP electric currents to EDFA output powers.
4. the light power control method of erbium-doped fiber amplifier according to claim 2, which is characterized in that detection in time
The real output of EDFA, and compared with the moment output power that model prediction computation obtains, calculate prediction errorEach moment exports pre- side value and is also corrected on the basis of model prediction later：
In formula,
The system predicted after error correction by t=(k+1) the T moment is at t=(k+i)
The output at T (i=1 ..., N) moment,For error correction vectors.
5. the light power control method of erbium-doped fiber amplifier according to claim 2, which is characterized in that in sampling instant
The optimality criterion of t=kT is
I.e. by selecting the PUMP current increment △ i (k) ... at M moment from the moment, △ i (k+M-1) to make EDFA in the following P
The output power at (N >=P >=M) a momentAs close possible to its desired value ω (k+1) ...,
ω(k+P)；Section 2 in performance indicator is the constraint to current increment, that is, is not intended to the variation of electric current excessively violent；In formula,
qi, rjFor weight coefficient, P and M are referred to as optimization time domain length and control time domain length；Pass through extreme value necessary conditionAcquire the optimal current increment sequence that the t=kT moment solves
Vector [1,0 ..., 0] (A is multiplied by formulaTQA+R)-1ATObtain control coefrficient vector D.
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| CN101599803A (en) * | 2008-06-05 | 2009-12-09 | 昂纳信息技术（深圳）有限公司 | A kind of adaptive feedforward control device of image intensifer and method |
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Effective date of registration: 20231220 Address after: Room 601 and 701, North Block, Yuanxing Technology Building, No.1 Songpingshan Road, High tech Industrial Park (North District), Nanshan District, Shenzhen, Guangdong Province, 518057 Patentee after: Longmet Communication Technology (Shenzhen) Co.,Ltd. Address before: 518000 xinfeitong optoelectronic building, No.8, South Keji South 12th Road, Nanshan District, Shenzhen City, Guangdong Province Patentee before: NEOPHOTONICS Corp. |