CN103362736B - Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control - Google Patents

Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control Download PDF

Info

Publication number
CN103362736B
CN103362736B CN201210097356.2A CN201210097356A CN103362736B CN 103362736 B CN103362736 B CN 103362736B CN 201210097356 A CN201210097356 A CN 201210097356A CN 103362736 B CN103362736 B CN 103362736B
Authority
CN
China
Prior art keywords
speed
wind
tau
moment
changing
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.)
Active
Application number
CN201210097356.2A
Other languages
Chinese (zh)
Other versions
CN103362736A (en
Inventor
贾利民
刘展
雷涛
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.)
Beijing nenggaopukang measurement and Control Technology Co.,Ltd.
Original Assignee
BEIJING NEGO AUTOMATION TECHNOLOGY Co Ltd
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 BEIJING NEGO AUTOMATION TECHNOLOGY Co Ltd filed Critical BEIJING NEGO AUTOMATION TECHNOLOGY Co Ltd
Priority to CN201210097356.2A priority Critical patent/CN103362736B/en
Publication of CN103362736A publication Critical patent/CN103362736A/en
Application granted granted Critical
Publication of CN103362736B publication Critical patent/CN103362736B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

The present invention discloses the maximum power tracing control method of a kind of speed-changing oar-changing wind power generating set based on internal model control.The present invention draws reference model by carrying out modeling to wind power generating set moment of resistance responding system, its analytical expression is provided based on Reference Model Design internal mode controller, realize controlling with the optimum moment of resistance of lower hub and main shaft low shaft connection place lower than wind rating based on internal model control mode, compared to traditional maximal power tracing algorithm, the present invention effectively reduces the impact followed the tracks of the optimum moment of resistance due to the factor such as aerodynamic moment fluctuation, measuring error and modeling error, realizes wind wheel wind energy more efficiently and absorbs maximum power tracing.For conventional unity negative feedback single loop control system, the present invention devises the equivalent single loop unity negative feedback control system based on internal model control and provides controller analytical expression.

Description

Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control
Technical field
The invention belongs to technical field of wind power generation, relate to speed-changing oar-changing wind power generating set lower than the maximum power tracing control method below wind rating.
Background technology
Wind energy is the regenerative resource most at present with economic worth, " Development of Wind Power In China route map 2050 " is issued according to Energy Research Institute of the China national Committee of Development and Reform, the Wind Power In China developing goal of following 40 years: to the year two thousand twenty, the year two thousand thirty and the year two thousand fifty, installed capacity of wind-driven power will reach 200,000,000,400,000,000 and 1,000,000,000 kilowatts respectively, to the year two thousand fifty, the domestic electrical demand that wind-powered electricity generation will meet 17%.
At present, wind power generating set has become the major equipment of Wind Power Utilization, and speed-changing oar-changing wind power generating set is the wind driven generators of main flow.
Speed-changing oar-changing wind power generating set absorbs wind energy by wind wheel, utilizes kinematic train that absorption wind energy is delivered to generator axle head, is electric energy by generator by changes mechanical energy, and the frictional damping of kinematic train loss is the main source of transmission efficiency loss.
For high-power speed-changing oar-changing wind power generating set, kinematic train generally can be considered to carry out simplification modeling according to desired stiffness link, to realize the relatively accurate performance analysis of kinematic train and control, usually modeling can be carried out according to the multimass block link of flexibility.
High-power speed-changing oar-changing wind power generating set is controlling lower than doing maximum power tracing in the certain wind speed section below wind rating, and what wind power generating set utilized wind wheel by control electromagnetic torque realizes maximum power tracing from optimizing aerodynamic characteristic.
Traditional maximum power tracing is controlled, to the relatively ideal that kinematic train is considered in control strategy, do not consider each link of kinematic train and drive characteristic impact, simultaneously due to wind speed undulatory property and random cause wind wheel wind-engaging after the aerodynamic moment fluctuation that produces there is very strong uncertainty, therefore in working control process, have certain deviation relative to optimal control torque track, optimum maximum power tracing can not be realized efficiently and control.
In speed-changing oar-changing wind power generating set kinematic train input element, generator electromagnetic torque is Controlled unit, wind wheel aerodynamic moment due to the randomness of wind and uncertainty be uncontrollable link.
Summary of the invention
The present invention proposes the maximum power tracing control method of a kind of speed-changing oar-changing wind power generating set below wind rating, the method is by carrying out modeling to wind power generating set moment of resistance responding system, realize controlling with the optimum moment of resistance of lower hub and main shaft low shaft connection place lower than wind rating based on internal model control mode, reduce the impact optimum moment of resistance followed the tracks of due to the factor such as aerodynamic moment fluctuation, measuring error and modeling error, effectively realize wind wheel wind energy and absorb maximum power tracing.
Technical scheme of the present invention is the maximum power tracing control method of speed-changing oar-changing wind power generating set based on internal model control.
As shown in Figure 1, when ideal thinks that wind power generating set kinematic train is strict rigid link and does not consider damping, wind power generating set, meeting optimal torque change curve as the BC section in Fig. 1 lower than in wind speed section certain below wind rating by the electromagnetic torque controlling wind energy conversion system, realizes maximum power tracing.
And for the speed-changing oar-changing wind power generating set of reality, be flexible link due to its kinematic train and there is damping, there is stronger uncertainty in wind wheel aerodynamic moment simultaneously, after control method traditionally controls, due to kinematic train drive characteristic and the influence of fluctuations of wind wheel aerodynamic moment, practical function is difficult to accurately to follow the tracks of optimal torque in wheel hub and the main shaft low shaft connection place moment of resistance opposite to the direction of rotation causes wind wheel to fail to realize maximum power tracing.
For speed-changing oar-changing wind power generating set kinematic train characteristic, when thinking that speed-changing oar-changing wind power generating set kinematic train is flexible link and there is friction, as shown in Figure 2, speed-changing oar-changing wind power generating set kinematic train can be equivalent to slow-speed shaft and high speed shaft two mass link, modeling in accordance with the following methods:
In formula
represent slow-speed shaft (wind wheel end) rotating speed;
represent wind wheel aerodynamic moment;
represent slow-speed shaft (wind wheel end) moment of inertia;
represent wheel hub and the main shaft low shaft connection place moment of resistance opposite to the direction of rotation;
represent high speed shaft (generator end) rotating speed;
represent high speed shaft (generator end) moment of inertia;
represent generator electromagnetic torque;
represent kinematic train speed increasing ratio;
represent kinematic train transmission efficiency;
represent that kinematic train equivalence is to slow-speed shaft stiffness coefficient;
represent that kinematic train equivalence is to slow-speed shaft ratio of damping.
If state variable is , input variable is , export and be , then kinematic train can be expressed as a third-order model:
Wherein
represent the moment of inertia of slow-speed shaft equivalence after high speed shaft
Then ssystem transfer function can be expressed as:
Ssystem transfer function block diagram as shown in Figure 3, can be expressed as following formula:
Generally, the moment of inertia of slow-speed shaft equivalence after high speed shaft also slow-speed shaft (wind wheel end) moment of inertia is significantly less than , therefore from the angle of steady-state gain, wheel hub and the main shaft low shaft connection place moment of resistance opposite to the direction of rotation primarily of produce, due to wind wheel aerodynamic moment in system being produced by wind wheel aerodynamic moment, is uncontrolled variable, can regard as outside input disturbance.
For speed-changing oar-changing wind power generating set electromagnetic torque response link modeling, the response speed of usual electromagnetic torque is very fast, can be similar to think transient response, and when needs accurately control, electromagnetic torque response model can be similar to and be expressed as follows with first order inertial loop:
The reference model can obtaining system based on above model is:
Go out optimum moment of resistance internal model control system as shown in Figure 4 based on Reference Model Design, in this control system, control objectives is the optimum moment of resistance , the optimum moment of resistance can calculate according to the following formula:
In formula
represent optimum moment of resistance coefficient;
represent atmospheric density;
represent that wind wheel sweeps wind radius;
represent that wind wheel is at the maximal wind-energy usage factor of blade lower than wind rating work (propeller pitch angle is minimum) constantly;
represent the optimum tip-speed ratio of when blade works lower than wind rating (propeller pitch angle is minimum).
Feedback quantity is the measured torque of wheel hub and the main shaft low end junction detected by sensor export with reference model error .
Control objectives deviation can calculate according to the following formula:
In formula
represent reference model output resistance square;
represent by sensor measuring system wheel hub and the main shaft low end junction moment of resistance;
represent moment of resistance error.
Controller is input as control objectives deviation , controller exports as electromagnetic torque setting value , controller output signal to electromagnetic torque response link, controller output signal simultaneously as reference model input.
Inner model controller specific design method is as follows:
Step 1: set up control object TRANSFER MODEL
Step 2: designing filter link and filter parameter, usual wave filter can be designed as:
In formula
for filter parameter;
for filter parameter;
be all arithmetic number, and likely identical.
Step 3: calculate internal mode controller can calculate according to the following formula:
Step 4: when control system is as Fig. 5 single loop unity negative feedback form, calculate equivalent single loop unity negative feedback controller, controller transfer function can calculate according to the following formula:
Reference model be input as electromagnetic torque setting value , reference model exports and is .
Electromagnetic torque response link be input as electromagnetic torque setting value , export as true electromagnetic torque .The input variable of transmission link is , wherein wind wheel aerodynamic moment for the uncontrollable input in outside, disturbance can be seen as, generator electromagnetic torque for controllable variable, export as wheel hub and the main shaft low shaft connection place moment of resistance opposite to the direction of rotation can sensor measurement be passed through, and measured value be deducted reference model output end is fed back into afterwards as Modeling Error Feedback.
Accompanying drawing explanation
Fig. 1 speed-changing oar-changing wind power generating set optimal torque controlling curve schematic diagram
Fig. 2 kinematic train two mass modeling schematic diagram
Fig. 3 kinematic train transport function block diagram
Fig. 4 is based on the maximum power tracing closed-loop control block diagram of internal model control
Fig. 5 is based on the unity negative feedback maximum power tracing closed-loop control block diagram of internal mold equivalence
Embodiment
The total moment of inertia of kinematic train slow-speed shaft is calculated according to speed-changing oar-changing wind generator set blade and the distribution of wheel hub quality distance rotation center ; The total moment of inertia of kinematic train high speed shaft is calculated according to speed-changing oar-changing generator of wind generating set rotor quality distance rotation center distributed data , generally speaking transmission shaft or gear case relatively rotate very little can being similar to of inertia and ignore.
Obtain speed-changing oar-changing wind generator set blade aerofoil profile data, according to momentum-foline theorem, finite element method or calculate wind wheel lower than the optimum moment of resistance parameter below wind rating according to relative commercial software for calculation .
Kinematic train modeling related data can obtain transmission efficiency according to the relevant unit data of kind of drive inquiry of kinematic train , be equivalent to the stiffness coefficient of slow-speed shaft and be equivalent to the friction factor of slow-speed shaft data, carry out modelling by mechanism based on data; Also kinematic train identification model can directly be obtained by the mode measuring the identification of Correlation Identification data model fitting parameter.
Although speed-changing oar-changing wind power generating set is in the transmission efficiency of different operating point , be equivalent to the stiffness coefficient of slow-speed shaft and be equivalent to the friction factor of slow-speed shaft different may be had etc. data, measuring error may be there is by sensor measuring system wheel hub and the main shaft low end junction moment of resistance, the fluctuation of external pneumatic moment simultaneously causes system output to there is disturbance, but because the Error Feedback of model can be fed back into end by internal model control, therefore when filter parameter selects rational situation lower hub and the main shaft low shaft connection place moment of resistance opposite to the direction of rotation can obtain good optimum moment of resistance tracking effect.
When electromagnetic torque response link time constant and drive model export corresponding time constant be more or less the same time, electromagnetic torque dynamic response characteristic must be considered, can directly obtain moment responses identification model by the mode of monitoring collection Correlation Identification data model fitting parameter identification.
Wheel hub and the main shaft low shaft connection place moment of resistance opposite to the direction of rotation accurately can be measured by installing dynamic torque sensor at wheel hub and main shaft low shaft connection place, generally for and guarantees that unit operation reliability can be installed two cover dynamic torque sensors and be improved system reliability by redundancy.
Internal model control filter parameter method for designing can be regulated by empirical method or by off-line be correlated with intelligent search algorithm such as genetic algorithm, ant group algorithm etc. optimize adjust, also can carry out parameter tuning by zero pole collocation method in classical control theory.
The present invention is directed to the imperfect drive characteristic of speed-changing oar-changing wind power generating set due to its kinematic train, simultaneously due to the interference of external pneumatic torque fluctuations, the factors such as torque sensor measuring error and modeling error cause the situation being difficult to accurately the optimum moment of resistance controlling curve of dynamically accurate tracking when carrying out maximum power tracing lower than the following unit of wind rating according to general control algolithm, propose the optimum moment of resistance of a kind of wheel hub based on internal model control and main shaft low shaft connection place and control tracking, the method can effectively make wheel hub and the main shaft low shaft connection place moment of resistance follow the tracks of optimum moment of resistance change curve, effectively eliminate the randomness due to wind speed and uncertain and measuring error simultaneously, the factors such as modeling error are on the dynamic tracking impact of the optimum moment of resistance, effectively improve the maximum power tracing ability of wind wheel.

Claims (9)

1. speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control, when it is characterized in that the method considers that wind power generating set kinematic train is flexible link and there is friction, by carrying out modeling to wind power generating set kinematic train, realize wind rating based on internal model control mode to control with the optimum moment of resistance of lower hub and main shaft low shaft connection place, reduce the impact optimum moment of resistance followed the tracks of due to aerodynamic moment fluctuation, measuring error and modeling error factor, effectively realize wind wheel wind energy and absorb maximum power tracing; Kinematic train can be equivalent to slow-speed shaft and high speed shaft two mass link, modeling in accordance with the following methods:
dω b d t = T b J b - T J b dω g d t = η T NJ g - T e J g d T d t = K ( ω b - ω g N ) + B ( dω b d t - 1 N dω b d t )
In formula
ω brepresent slow-speed shaft rotating speed;
T brepresent wind wheel aerodynamic moment;
J brepresent slow-speed shaft moment of inertia;
T represents wheel hub and the main shaft low shaft connection place moment of resistance opposite to the direction of rotation;
ω grepresent high speed shaft rotating speed;
J grepresent high speed shaft moment of inertia;
T erepresent generator electromagnetic torque;
N represents kinematic train speed increasing ratio;
η represents kinematic train transmission efficiency;
K represents that kinematic train equivalence is to slow-speed shaft stiffness coefficient;
B represents that kinematic train equivalence is to slow-speed shaft ratio of damping;
If state variable is x = ω b ω g T , Input variable is u = T b T e , Export as y=T, then kinematic train is expressed as a third-order model:
x · = 0 0 - 1 J b 0 0 N J t K - K N - B J b - B J t x + 1 J b 0 0 - 1 J g B J b B NJ g u y = 0 0 1 x
Wherein
J t = N 2 J g η
J trepresent the moment of inertia of slow-speed shaft equivalence after high speed shaft;
Then ssystem transfer function is expressed as:
y ( s ) = [ G 1 ( s ) , G 2 ( s ) ] u ( s ) G 1 ( s ) = BJ t s + KJ t J b J t s 2 + B ( J b + J t ) s + K ( J b + J t ) G 2 ( s ) = BJ b J t s + KJ b J t NJ g J b J t s 2 + BNJ g ( J b + J t ) s + KNJ g ( J b + J t )
2. speed-changing oar-changing wind power generating set, based on the maximum power tracing control method of internal model control, is characterized in that electromagnetic torque response model can be similar to and is expressed as follows with first order inertial loop according to claim 1:
G 3 ( s ) = 1 τ s + 1
τ represents electromagnetic torque responsive time constant.
3. speed-changing oar-changing wind power generating set, based on the maximum power tracing control method of internal model control, is characterized in that in maximum power tracing control system, control objectives is optimum moment of resistance T according to claim 1 opt, the optimum moment of resistance calculates according to the following formula:
T o p t = K o p t ω b 2 K o p t = 1 2 ρπR 5 C P m a x λ C P m a x 3
In formula
K optrepresent optimum moment of resistance coefficient;
ρ represents atmospheric density;
R represents that wind wheel sweeps wind radius;
C pmaxrepresent the maximal wind-energy usage factor of wind wheel when blade works lower than wind rating;
λ cPmaxrepresent the optimum tip-speed ratio when blade works lower than wind rating.
4. speed-changing oar-changing wind power generating set, based on the maximum power tracing control method of internal model control, is characterized in that control objectives deviation e can calculate according to the following formula according to claim 1:
e = T o p t - Δ T Δ T = T - T m
In formula
T optrepresent the optimum moment of resistance;
T mrepresent reference model output resistance square;
T represents by sensor measuring system wheel hub and the main shaft low end junction moment of resistance;
Δ T represents moment of resistance error.
5. speed-changing oar-changing wind power generating set, based on the maximum power tracing control method of internal model control, is characterized in that controller is input as control objectives deviation e according to claim 1, and controller exports as electromagnetic torque setting value controller output signal to electromagnetic torque response link, controller output signal simultaneously as the input with reference to model G (s).Reference model G (s) is expressed as:
G(s)=G 2(s)G 3(s)
G 2s () represents the transport function of Wind turbines electromagnetic torque to slow-speed shaft end resistance square;
G 3s () represents electromagnetic torque response function.
6. speed-changing oar-changing wind power generating set, based on the maximum power tracing control method of internal model control, is characterized in that inner model controller specific design method is as follows according to claim 1:
Step 1: set up control object TRANSFER MODEL G (s)
G ( s ) = G 2 ( s ) G 3 ( s ) = BJ b J t s + KJ b J t ( τ s + 1 ) ( NJ g J b J t s 2 + BNJ g ( J b + J t ) s + KNJ g ( J b + J t ) )
Step 2: designing filter link and filter parameter, usual filters H (s) is designed to:
H ( s ) = 1 ( τ 1 s + 1 ) ( τ 2 s + 1 )
In formula
τ 1it is the first filter parameter;
τ 2it is the second filter parameter;
τ 1, τ 2be all arithmetic number, and τ 1, τ 2likely identical.
Step 3: calculate internal mode controller q (s), q (s) calculates according to the following formula:
q ( s ) = ( τ s + 1 ) ( NJ g J b J t s 2 + BNJ g ( J b + J t ) s + KNJ g ( J b + J t ) ) ( τ 1 s + 1 ) ( τ 2 s + 1 ) ( BJ b J t s + KJ b J t )
In formula
τ is electromagnetic torque responsive time constant.
7. according to claim 1 speed-changing oar-changing wind power generating set based on the maximum power tracing control method of internal model control, it is characterized in that when control system is single loop unity negative feedback form, calculate equivalent single loop unity negative feedback controller, controller transfer function c (s) calculates according to the following formula:
c ( s ) = T ‾ e ( s ) e ( s ) = q ( s ) 1 - q ( s ) = b 3 s 3 + b 2 s 2 + b 1 s + b 0 a 3 s 3 + b 2 s 2 + a 1 s + a 0 b 3 = τBJ g J b J t b 2 = NJ g [ τ B ( J b + J t ) + J b J t ] b 1 = NJ g ( J b + J t ) ( τ K + B ) b 0 = KNJ g ( J b + J t ) a 3 = J b J t ( τ 1 τ 2 B- τ N J g ) a 2 = J b J t [ τ 1 τ 2 K + B ( τ 1 + τ 2 ) ] - NJ g [ τ B ( J b + J t ) + J b J t ] a 1 = J b J t [ B + K ( τ 1 + τ 2 ) ] - NJ g ( J b + J t ) ( τ K + B ) ] a 0 = K [ J b J t - NJ g ( J b + J t ) ]
In formula
Q (s) is mould controller;
τ is electromagnetic torque responsive time constant;
τ 1it is the first filter parameter;
τ 2it is the second filter parameter.
8. speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control according to claim 1, and what it is characterized in that reference model is input as electromagnetic torque setting value reference model exports as T m.
9. speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control according to claim 1, and what it is characterized in that electromagnetic torque response link is input as electromagnetic torque setting value export as true electromagnetic torque T e.The input variable of transmission link is T b T e , Wherein wind wheel aerodynamic moment T bfor the uncontrollable input in outside as, disturbance can be seen, generator electromagnetic torque T efor controllable variable, export as wheel hub and main shaft low shaft connection place moment of resistance T opposite to the direction of rotation can by sensor measurements, and measured value is deducted reference model and export T mend is fed back into afterwards as Modeling Error Feedback.
CN201210097356.2A 2012-04-05 2012-04-05 Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control Active CN103362736B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210097356.2A CN103362736B (en) 2012-04-05 2012-04-05 Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210097356.2A CN103362736B (en) 2012-04-05 2012-04-05 Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control

Publications (2)

Publication Number Publication Date
CN103362736A CN103362736A (en) 2013-10-23
CN103362736B true CN103362736B (en) 2015-09-02

Family

ID=49364824

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210097356.2A Active CN103362736B (en) 2012-04-05 2012-04-05 Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control

Country Status (1)

Country Link
CN (1) CN103362736B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105179164B (en) * 2015-06-25 2018-11-09 江苏科技大学 Wind-energy changing system sliding-mode control and device based on T-S fuzzy models
CN107218175B (en) * 2017-06-23 2019-03-05 南京理工大学 A kind of rotating-speed tracking purpose optimal method realized wind energy conversion system and maximize Wind energy extraction efficiency
CN113007021A (en) * 2021-03-18 2021-06-22 上海第二工业大学 Command filtering backstepping control method and controller for variable speed wind driven generator
CN113833603A (en) * 2021-09-13 2021-12-24 华北电力大学 Operation control method for double-wind-wheel wind generating set

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4193005A (en) * 1978-08-17 1980-03-11 United Technologies Corporation Multi-mode control system for wind turbines
US6330483B1 (en) * 1999-05-07 2001-12-11 The Boeing Company Optimal control system
DK200000912A (en) * 2000-06-14 2001-12-15 Ulrik Krabbe Device for smoothing power variations from wind turbine groups
CN101603503B (en) * 2009-07-21 2011-04-20 南京航空航天大学 Internal model control method for fixed pitch wind turbine
EP2296062B1 (en) * 2009-09-09 2021-06-23 Siemens Aktiengesellschaft Method for computer-supported learning of a control and/or regulation of a technical system

Also Published As

Publication number Publication date
CN103362736A (en) 2013-10-23

Similar Documents

Publication Publication Date Title
CN103362738B (en) Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of feed forward decoupling control
CN103362735B (en) The maximum power tracing controlling method that speed-changing oar-changing wind power generating set is followed the tracks of based on optimum resisting moment
CN103410659B (en) Effective wind speed obtaining method of wind generating set based on High-Gain observer
CN102072083B (en) Maximum wind energy tracking method for double-fed wind power generation system
CN105179164A (en) Wind energy converting system sliding mode control method and device based on T-S fuzzy model
CN107061158B (en) A kind of prediction of low wind speed leeward power generator and tracking and controlling method
CN103244350A (en) Method for tracking and controlling optimum tip speed ratio of wind power generation unit
CN104675629B (en) A kind of maximal wind-energy capture method of Variable Speed Wind Power Generator
CN103758697B (en) A kind of improvement maximum power tracking and controlling method based on the effective trace interval of blower fan
CN103362736B (en) Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of internal model control
Wang et al. A hybrid, self-adapting drag-lift conversion wind energy harvesting system for railway turnout monitoring on the Tibetan Plateau
CN106712058A (en) Coordinated control method for wind power plant of double-fed fan to participate in one-time frequency modulation of power system
CN102879199A (en) Full-condition wind turbine simulator
CN106762403B (en) Wind-powered electricity generation variable speed constant frequency generating unit speed controls adaptive optimization method
CN103225588A (en) Wind power generation power curve optimization method based on pattern recognition technology
CN102156044B (en) Model selection method of wind turbine simulator applicable to testing of direct driving type wind generating set
CN104899465A (en) Calculation method for wind-solar ratio optimization
CN103746628B (en) Method for controlling rotor-side converter of doubly fed induction generator (DFIG)
CN114033617B (en) Controllable wind power generation method and system with control parameters adjusted in self-adaptive mode
CN103375332B (en) Speed-changing oar-changing wind power generating set optimum moment of resistance dynamic optimization method
Bertašienė et al. Synergies of Wind Turbine control techniques
Yao et al. RBF neural network based self-tuning PID pitch control strategy for wind power generation system
CN103603771A (en) Best wind energy capture method for wind generating set
CN103362734B (en) Speed-changing oar-changing wind power generating set is based on the maximum power tracing control method of gearing friction damping compensation
Meng et al. Adaptive power acquisition control of variable-speed wind energy conversion systems under inaccurate wind speed measurement

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
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20211206

Address after: 100071 room 1973, 9 / F, building 19, District 16, No. 188, South Fourth Ring West Road, Fengtai District, Beijing

Patentee after: Beijing nenggaopukang measurement and Control Technology Co.,Ltd.

Address before: 100044 6th floor, Zhixing building, Beijing Jiaotong University, Xizhimenwai, Haidian District, Beijing

Patentee before: BEIJING NEGO AUTOMATION TECHNOLOGY Co.,Ltd.