CN108631638A - A kind of improved model forecast Control Algorithm of single-phase inverter - Google Patents

A kind of improved model forecast Control Algorithm of single-phase inverter Download PDF

Info

Publication number
CN108631638A
CN108631638A CN201810481821.XA CN201810481821A CN108631638A CN 108631638 A CN108631638 A CN 108631638A CN 201810481821 A CN201810481821 A CN 201810481821A CN 108631638 A CN108631638 A CN 108631638A
Authority
CN
China
Prior art keywords
control
moment
phase inverter
output
current value
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
Application number
CN201810481821.XA
Other languages
Chinese (zh)
Other versions
CN108631638B (en
Inventor
范宜标
林水秋
郑仁彬
傅智河
江晓玲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Longyan University
Original Assignee
Longyan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Longyan University filed Critical Longyan University
Priority to CN201810481821.XA priority Critical patent/CN108631638B/en
Publication of CN108631638A publication Critical patent/CN108631638A/en
Application granted granted Critical
Publication of CN108631638B publication Critical patent/CN108631638B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02MAPPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
    • H02M7/00Conversion of ac power input into dc power output; Conversion of dc power input into ac power output
    • H02M7/42Conversion of dc power input into ac power output without possibility of reversal
    • H02M7/44Conversion of dc power input into ac power output without possibility of reversal by static converters
    • H02M7/48Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode
    • H02M7/53Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal
    • H02M7/537Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters
    • H02M7/539Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters with automatic control of output wave form or frequency

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Inverter Devices (AREA)

Abstract

The present invention relates to a kind of improved model forecast Control Algorithms of single-phase inverter, and the output of single-phase inverter is controlled by the way that multiple control moment are arranged within the sampling period;In each sampling period, output current is sampled first to obtain actual current value, using actual current value as feedback quantity carry out Model Predictive Control obtain single-phase inverter the control moment output;Second in the sampling period controls the moment, using the predicted current value at current time as the feedback quantity of electric current, the feedback quantity of predicted current value as electric current currently to control the moment carries out Model Predictive Control and obtains the output that single-phase inverter controls the moment at second, and so on, until next sampling period.The present invention realizes primary sampling repeatedly control, reduces hardware requirement of the control system to sampling unit, the complexity of sample circuit is reduced from demand and reduces the cost of hardware under the premise of ensuring output current control effect.

Description

A kind of improved model forecast Control Algorithm of single-phase inverter
Technical field
The present invention relates to single-phase inverter control fields, and in particular to a kind of improved model PREDICTIVE CONTROL of single-phase inverter Method.
Background technology
Single-phase inverter is widely used in the new energy fields such as grid-connected, direct-current grid and electric vehicle.It adopts It is the transformation for realizing electric energy from direct current to exchange with the purpose of single-phase inverter.Thereby it is ensured that output current is for sinusoidal waveform The main target of single-phase inverter control.Model Predictive Control is a kind of Discrete Control Method.It is inverse under different on off states The voltage status for becoming device output is different.In each sampling instant, under different optional input voltage states, prediction is next The output current value of sampling instant is selected with the on off state corresponding to the predicted current value of reference current difference minimum as control The output of device processed realizes the Model Predictive Control of inverter.Its advantage is that logic is simple, strong robustness.But it is traditional Model Predictive Control one secondary control of sampling is primary, in order to reach preferable output current control effect, controlling of sampling set of frequency In higher level, the higher voltage and current Acquisition Circuit of sample rate is needed, causes hardware to complicate and increases cost.Therefore, How in the case where ensureing control effect sampling efficiency is reduced, reduce the support type of sample circuit to reduce cost, is single One of phase inverter Model Predictive Control problem encountered.
Invention content
The purpose of the present invention is to provide a kind of improved model forecast Control Algorithms of single-phase inverter, are ensureing preferably Control effect on the basis of, sample rate is reduced, to achieve the purpose that reduce sample circuit complexity, reduce cost.
To achieve the above object, the technical solution adopted is that:
A kind of improved model forecast Control Algorithm of single-phase inverter, by the way that multiple controls are arranged within a sampling period Moment processed controls the output of single-phase inverter;In each sampling period, output current is sampled first to obtain reality Current value predicts output current of next control moment under different voltage status using actual current value as feedback quantity Value obtains the predicted current value at next control moment;Then it by being traversed to next control moment predicted current value, determines With the immediate voltage status of reference current as single-phase inverter the control moment output;
The moment is controlled at second of the sampling period, using the predicted current value at current time as the feedback quantity of electric current, It predicts output current value of next control moment under different voltage status, obtains the predicted current at next control moment Value;Then it is traversed, is determined and the immediate voltage shape of reference current by the predicted current value to next control moment State controls the output at moment as single-phase inverter at second, and so on, until next sampling period.
Each of described single-phase inverter controls the moment when carrying out Model Predictive Control, specifically executes following steps:
Step 1, the feedback quantity for determining the current control moment;
The current control moment is denoted as k-th and controls the moment, according to the control times N executed in the sampling period, calculates K Sampling period k and k-th residing for a control moment control control moment l of the moment in sampling period k, specific as follows:
Wherein, mod (K, N) indicates to ask the integer value of K divided by N, and rem (K, N) indicates complementation, l be natural number and l≤ N;
When K evenly divisible by N can Yu 1, then the feedback quantity at k-th control moment is equal to the control instance sample value;At other Moment, feedback quantity are equal to the predicted value at the moment, and expression formula is as follows:
Wherein, if(k, l) indicates the feedback quantity at control moment first of sampling period of k-th of single-phase inverter;I (k, l) table Show the actual current value at l secondary control moment in the single-phase inverter kth time sampling period;Indicate single-phase inverter kth The predicted current value at first of control moment of a sampling period;
The feedback quantity at step 2, basis current control moment, predicts next control moment under different voltage output states Current value, obtain it is next control control the moment predicted current value, it is specific as follows:
Wherein,For K+1 control the moment output state S1 predicted current value,It is K+1 control the moment output state S2 predicted current value,The moment is controlled in the pre- of output state S3 for K+1 Current value is surveyed, Tc indicates that controlling cycle, Ug (K) are the inverse electromotive force that single-phase inverter controls the moment in k-th, and Vdc is single The voltage of phase inverter DC terminal;
Scalar function value J (K) under step 3, the different output states of calculating | S1,J(K)|S2With J (K) | S3, expression formula It is as follows:
Wherein, i*(K+1) reference value of the output current at the K+1 control moment for being;
Step 4 compares scalar function J (K) | S1, J (K) | S2With J (K) | S3Size, select minimum value J (K) | Sm, m ∈ {1,2,3};If m=1, the inverter output that k-th controls the moment is state S1;If m=2, k-th control the moment it is inverse Become device output as state S2;If all non-above, state S is just selected3Output as inverter;Meanwhile when the K+1 control of note The predicted current value at quarter
Control times N=the f executed in the sampling periodc/fs, wherein fcFor the control frequency of single-phase inverter, fs For the sample frequency of single-phase inverter, N is the natural number more than 1, value range 2-5.
The sample frequency f of the single-phase invertersFor 10kHz to 20kHz.
After adopting the above scheme, under the premise of ensuring output current control effect, primary sampling repeatedly control is realized, Hardware requirement of the control system to sampling unit is reduced, the complexity of sample circuit is reduced from demand and reduces hardware Cost.
Description of the drawings
Fig. 1 is the operating circuit of single-phase inverter;
Fig. 2 is the output current tracking effect for the single-phase inverter that forecast Control Algorithm using the present invention is realized;
Fig. 3 is the error of the output current for the single-phase inverter that forecast Control Algorithm using the present invention is realized;
Fig. 4 is the spectrum analysis figure of the output current of this hair single-phase inverter.
Specific implementation mode
Present invention is disclosed a kind of improved model forecast Control Algorithms of single-phase inverter, are set within a sampling period Multiple control moment are set to control the output of single-phase inverter;In each sampling period, output current is sampled first Actual current value is obtained, using actual current value as feedback quantity, predicts next control moment under different voltage status Output current value obtains predicted current value;Then by being traversed to predicted current value, determination is immediate with reference current Voltage status as single-phase inverter the control moment output.Second in the sampling period controls the moment, due to not Sampling obtains single-phase inverter currently to control the feedback quantity progress Model Predictive Control of predicted current value as electric current at moment In the output at then control moment, repeats above procedure and arrive until next sampling period;Then one under single-phase inverter The Model Predictive Control in a sampling period.
The circuit diagram of single-phase inverter is as shown in Figure 1, single-phase inverter passes through resistance and the concatenated filter of inductance It is connected with inverse electromotive force.Wherein, resistance value is R, and inductance value is L, and inverse electromotive force is Ug, the electricity of single-phase inverter DC terminal Pressure is denoted as Vdc.The output current of single-phase inverter is i, and the reference value of the output current of single-phase inverter is i*, it is the base of standard Wave sinusoidal signal.There are three types of states for single-phase inverter output current, export and are denoted as state S for Vdc1, export and be denoted as state S for 02, Output is that-Vdc is denoted as state S3
Model Predictive Control, sample frequency f are carried out to unidirectional inverter shown in FIG. 1s, sample frequency fsTo set Definite value is generally 10kHz to 20kHz.The control number executed in sampling period is that the quantity at control moment is N, N=fc/ fs, fcFrequency in order to control, N are the natural number more than 1, value range 2-5.
Then the Model Predictive Control at the k-th control moment of the single-phase inverter is specific as follows:
Step 1, the feedback quantity for determining the k-th control moment;
First, corresponding k and l is calculated according to known N at the k-th control moment, wherein k is that k-th controls the moment Residing sampling period number, l are the control moment in the sampling period residing for the k-th control moment.K=(k-1) * N+l.Change speech It,
Wherein, mod (K, N) indicates to ask the integer value of K divided by N, and rem (K, N) indicates complementation, l be natural number and l≤ N。
Then, the feedback quantity at k-th control moment is sought, if K evenly divisible by N can Yu 1, has value of feedback equal to the control Instance sample value processed;At other moment, feedback quantity is equal to the predicted value at the moment.Expression formula is as follows:
Wherein, if(k, l) indicates the feedback quantity at control moment first of sampling period of k-th of single-phase inverter;I (k, l) table Show the actual current value at l secondary control moment in the single-phase inverter kth time sampling period;Indicate single-phase inverter kth The predicted current value at first of control moment of a sampling period.
Step 2, the feedback quantity that the moment is controlled according to single-phase inverter k-th predict the K+1 control moment different Current value under voltage output state obtains the predicted current value at the K+1 control moment, specific as follows:
Wherein, TC=1/fC, indicate controlling cycle;Ug (K) indicates that inverse electromotive force controls the value at moment in k-th.Due to Inverse electromotive force frequency and amplitude are it is known that therefore Ug (K) is given value.
Scalar function J (K) under step 3, the different output states of calculating | S1,J(K)|S2With J (K) | S3, computational methods are such as Under:
Step 4 compares scalar function J (K) | S1, J (K) | S2With J (K) | S3Size, select minimum value J (K) | Sm, m ∈ {1,2,3};If m=1, the inverter output that k-th controls the moment is state S1;If m=2, k-th control the moment it is inverse Become device output as state S2;If all non-above, state S is just selected3Output as inverter.Meanwhile when the K+1 control of note The predicted current value at quarter
Fig. 2 is the output current tracking effect of single-phase inverter, and Fig. 3 is single-phase inverter output current error, from Fig. 2 and Fig. 3 is it is found that model prediction method using the present invention can effectively ensure that single-phase inverter exports sinusoidal waveform, and error is small. Fig. 4 is the spectrum analysis figure of the output current of single-phase inverter, wherein total harmonic distortion THD=1.92%<5%, meet National standard GB/T 14549-93 requirements.
To sum up, under the premise of ensuring output current control effect, primary sampling repeatedly control is realized, control is reduced System reduces the complexity of sample circuit from demand and reduces the cost of hardware to the hardware requirement of sampling unit.
The above is only the embodiment of the present invention, is not intended to limit the scope of the present invention, therefore every According to the technical essence of the invention to any subtle modifications, equivalent variations and modifications made by above example, this is still fallen within In the range of inventive technique scheme.

Claims (4)

1. a kind of improved model forecast Control Algorithm of single-phase inverter, it is characterised in that:The model predictive control method is logical It crosses and multiple control moment is set within the sampling period to control the output of single-phase inverter;In each sampling period, right first Output current is sampled to obtain actual current value, using actual current value as feedback quantity, predicts next control moment not Output current value under same voltage status obtains the predicted current value at next control moment;When then by next control It carves predicted current value to be traversed, determine with the immediate voltage status of reference current as single-phase inverter at the control moment Output;
Second in the sampling period controls the moment, using the predicted current value at current time as the feedback quantity of electric current, prediction Output current value of next control moment under different voltage status, obtains the predicted current value at next control moment;So It is traversed, is determined with the immediate voltage status of reference current as single by the predicted current value to next control moment afterwards Phase inverter controls the output at moment at second, and so on, until next sampling period.
2. a kind of improved model forecast Control Algorithm of single-phase inverter according to claim 1, it is characterised in that:It is described Each of single-phase inverter controls the moment when carrying out Model Predictive Control, specifically executes following steps:
Step 1, the feedback quantity for determining the current control moment;
The current control moment is denoted as k-th and controls the moment, according to the control times N executed in the sampling period, calculates k-th control Sampling period k and k-th residing for moment processed control control moment l of the moment in sampling period k, specific as follows:
Wherein, mod (K, N) indicates that the integer value of K divided by N, rem (K, N) is asked to indicate complementation, and l is natural number and l≤N;
When K evenly divisible by N can Yu 1, then the feedback quantity at k-th control moment is equal to the control instance sample value;At other moment, Feedback quantity is equal to the predicted value at the moment, and expression formula is as follows:
Wherein, if(k, l) indicates the feedback quantity at control moment first of sampling period of k-th of single-phase inverter;I (k, l) indicates single The actual current value at l secondary control moment in the phase inverter kth time sampling period;Indicate that single-phase inverter is adopted for k-th The predicted current value at first of control moment of sample period;
The feedback quantity at step 2, basis current control moment predicts electricity of next control moment under different voltage output states Flow valuve obtains the predicted current value at next control control moment, specific as follows:
Wherein,For K+1 control the moment output state S1 predicted current value,For K+1 Control the moment output state S2 predicted current value,Prediction of the moment in output state S3 is controlled for K+1 Current value, Tc indicate that controlling cycle, Ug (K) are the inverse electromotive force that single-phase inverter controls the moment in k-th, and Vdc is single-phase The voltage of inverter DC terminal;
Scalar function value J (K) under step 3, the different output states of calculating | S1,J(K)|S2With J (K) | S3, expression formula is as follows:
Wherein, i*(K+1) reference value of the output current at the K+1 control moment for being;
Step 4 compares scalar function J (K) | S1, J (K) | S2With J (K) | S3Size, select minimum value J (K) | Sm, m ∈ 1,2, 3};If m=1, the inverter output that k-th controls the moment is state S1;If m=2, the inverter at k-th of control moment Output is state S2;If all non-above, state S is selected3Output as inverter;Meanwhile note the K+1 controls the pre- of moment Survey current value
3. a kind of improved model forecast Control Algorithm of single-phase inverter according to claim 1, it is characterised in that:It is described Control times N=the f executed in sampling periodc/fs, wherein fcFor the control frequency of single-phase inverter, fsFor single-phase inverter Sample frequency, N is natural number more than 1, value range 2-5.
4. a kind of improved model forecast Control Algorithm of single-phase inverter according to claim 3, it is characterised in that:It is described The sample frequency f of single-phase invertersFor 10kHz to 20kHz.
CN201810481821.XA 2018-05-18 2018-05-18 Improved model prediction control method of single-phase inverter Active CN108631638B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810481821.XA CN108631638B (en) 2018-05-18 2018-05-18 Improved model prediction control method of single-phase inverter

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810481821.XA CN108631638B (en) 2018-05-18 2018-05-18 Improved model prediction control method of single-phase inverter

Publications (2)

Publication Number Publication Date
CN108631638A true CN108631638A (en) 2018-10-09
CN108631638B CN108631638B (en) 2020-01-21

Family

ID=63693666

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810481821.XA Active CN108631638B (en) 2018-05-18 2018-05-18 Improved model prediction control method of single-phase inverter

Country Status (1)

Country Link
CN (1) CN108631638B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111193386A (en) * 2020-02-17 2020-05-22 南京邮电大学 Model prediction control method for feedback compensation parameter self-adaption of full-bridge converter

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102447268A (en) * 2011-12-19 2012-05-09 湖南大学 Robust dicyclic photovoltaic grid-connected control method based on power feedforward
TW201238230A (en) * 2011-03-02 2012-09-16 Nat Univ Chung Cheng Method and system for controlling current
CN104767410A (en) * 2015-03-31 2015-07-08 西安理工大学 Current prediction control method for single-phase gird-connected inverter
CN105375804A (en) * 2015-12-17 2016-03-02 福州大学 Model prediction current control method based on NPC topology grid connected inverter under asymmetric voltage
CN106452140A (en) * 2016-11-10 2017-02-22 厦门大学 Method for controlling single-phase inverters by aid of adaptive current models in predictive manner
CN106602596A (en) * 2016-11-30 2017-04-26 南京航空航天大学 Model parameter adaptive method for inverter model prediction control
CN107171587A (en) * 2017-06-09 2017-09-15 南京航空航天大学 A kind of modified finite aggregate model predictive control method suitable for inverter
KR20170137272A (en) * 2016-06-02 2017-12-13 중앙대학교 산학협력단 Current Control Methods for Single-Phase Voltage Source Inverters
CN107834815A (en) * 2017-10-31 2018-03-23 华南理工大学 A kind of limited domination set model predictive control method based on the effect of double vectors
CN107872166A (en) * 2017-10-25 2018-04-03 中国矿业大学 A kind of Model Predictive Control strategy of discrete inductance formula paralleling and interleaving inverter

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201238230A (en) * 2011-03-02 2012-09-16 Nat Univ Chung Cheng Method and system for controlling current
CN102447268A (en) * 2011-12-19 2012-05-09 湖南大学 Robust dicyclic photovoltaic grid-connected control method based on power feedforward
CN104767410A (en) * 2015-03-31 2015-07-08 西安理工大学 Current prediction control method for single-phase gird-connected inverter
CN105375804A (en) * 2015-12-17 2016-03-02 福州大学 Model prediction current control method based on NPC topology grid connected inverter under asymmetric voltage
KR20170137272A (en) * 2016-06-02 2017-12-13 중앙대학교 산학협력단 Current Control Methods for Single-Phase Voltage Source Inverters
CN106452140A (en) * 2016-11-10 2017-02-22 厦门大学 Method for controlling single-phase inverters by aid of adaptive current models in predictive manner
CN106602596A (en) * 2016-11-30 2017-04-26 南京航空航天大学 Model parameter adaptive method for inverter model prediction control
CN107171587A (en) * 2017-06-09 2017-09-15 南京航空航天大学 A kind of modified finite aggregate model predictive control method suitable for inverter
CN107872166A (en) * 2017-10-25 2018-04-03 中国矿业大学 A kind of Model Predictive Control strategy of discrete inductance formula paralleling and interleaving inverter
CN107834815A (en) * 2017-10-31 2018-03-23 华南理工大学 A kind of limited domination set model predictive control method based on the effect of double vectors

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111193386A (en) * 2020-02-17 2020-05-22 南京邮电大学 Model prediction control method for feedback compensation parameter self-adaption of full-bridge converter

Also Published As

Publication number Publication date
CN108631638B (en) 2020-01-21

Similar Documents

Publication Publication Date Title
Kazmierkowski et al. DSP-based control of grid-connected power converters operating under grid distortions
Odavic et al. One-sample-period-ahead predictive current control for high-performance active shunt power filters
CN108599605B (en) Three-level inverter model prediction Poewr control method based on two Vector modulations
CN102142694B (en) Rotational coordinate transformation based current decoupling control method for three-phase grid-connected inverter
Shuai et al. New control method of injection-type hybrid active power filter
CN107276443B (en) Improvement type fixed-frequency hysteresis current control method and circuit based on control type Sofe Switch
WO2020211423A1 (en) Photovoltaic inverter and corresponding switch frequency control method
CN108512250A (en) A kind of Three-phase high-power photovoltaic combining inverter and the repetitive control for reducing its output current THD
CN109787483A (en) Control method of power supply for capacitor ripple test and power supply for capacitor ripple test
Xingwu et al. Model predictive control of single phase grid-connected inverter
CN108696170B (en) Frequency finite aggregate model predictive control method is determined for two level three-phase inverters
CN110571806B (en) Feature extraction and identification method for load category of power distribution network
CN110365230B (en) Direct power control device of three-phase voltage type PWM rectifier
CN108306497A (en) A kind of multiphase interleaving controller and its control method
CN103532170B (en) Fixed control method for switching period for grid-connected current hysteresis control algorithm
CN110677048B (en) Bipolar direct current transformer, and control method and device thereof
CN108631638A (en) A kind of improved model forecast Control Algorithm of single-phase inverter
CN112701939B (en) VIENNA rectifier current prediction control method
CN110336279B (en) Electric power system oscillation self-adaptive suppression method, system and medium based on grid-connected converter
CN107330229B (en) Quick simulation system of double-active full-bridge direct-current converter
CN110426649A (en) The single-phase test method and system of cascade converter submodule
CN116316624A (en) Control method and device for reducing high-voltage direct-current remote supply equipment network side current harmonic wave
CN110297446A (en) More vector rapid model prediction control methods under a kind of non-ideal grid conditions
CN106505621B (en) Inverter and its control method and device
CN109194132A (en) A kind of high frequency transformer temperature field test electric source topology and control method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant