CN108919648A - Blower fan tower barrel semi-active control method based on fuzzy logic inference - Google Patents
Blower fan tower barrel semi-active control method based on fuzzy logic inference Download PDFInfo
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- CN108919648A CN108919648A CN201810831730.4A CN201810831730A CN108919648A CN 108919648 A CN108919648 A CN 108919648A CN 201810831730 A CN201810831730 A CN 201810831730A CN 108919648 A CN108919648 A CN 108919648A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/0275—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D13/00—Assembly, mounting or commissioning of wind motors; Arrangements specially adapted for transporting wind motor components
- F03D13/20—Arrangements for mounting or supporting wind motors; Masts or towers for wind motors
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D19/00—Control of mechanical oscillations, e.g. of amplitude, of frequency, of phase
- G05D19/02—Control of mechanical oscillations, e.g. of amplitude, of frequency, of phase characterised by the use of electric means
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/728—Onshore wind turbines
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Abstract
The invention discloses the blower fan tower barrel semi-active control methods based on fuzzy logic inference, it is related to technical field of wind power generating equipment, wind vibration control is carried out to blower fan tower barrel using the semi- active control technology based on fuzzy logic inference, by carrying out fuzzy logic inference to the real-time dynamic response of tower structure, different damping forces is exported using the damped coefficient that semi-active control algorithm adjusts TMD damper, vibration control is carried out to tower structure.And Semi-active fuzzy control system emulation is carried out by SIMULINK, the results showed that, it is more preferable than traditional control effect passively controlled based on the semi- active control of fuzzy logic inference, the dynamic respond of tower structure top end can be greatly reduced.
Description
Technical field
The present invention relates to technical field of wind power generating equipment, more particularly to the blower fan tower barrel based on fuzzy logic inference half
Active Control Method.
Background technique
Wind-power electricity generation is using more mature green regenerative energy sources technology, and novel fan is constantly increased with single-machine capacity,
Blade constantly extends, the constantly raised trend development of tower.These all propose higher want to blower fan tower barrel vibration control technology
It asks.
The vibration control mode of tall and slender structure mainly has passive control, active control and semi- active control.Passive control
It is to apply most control modes, but when the dynamic characteristics of controlled structural body changes, passive control effect will be big
It is big to reduce.Active control overcomes the shortcomings that structural body dynamic characteristics is depended in passive control unduly, achieves vibration control well
Effect processed, but the disadvantage of active control maximum is exactly that it needs very big extra power source, this sends out at obstruction active control
Open up the obstacle of application.
Lot of domestic and international scholar has made in-depth study to passive control, and achieves preferable control effect.Dalian
The Cui Qiong of Polytechnics analyzes vibration control of the TMD to tower structure under the independent and compound action by comparison different loads
Characteristic.Xinjiang Agricultural Univ's Li Zhen brightness increases TMD by the multiple TMD of setting and effectively controls frequency band range, reduces TMD system
Extraordinary effectiveness in vibration suppression is obtained to the sensibility of the structurally tuned frequency of blower fan tower barrel.TMD is mounted on tower by P.J.Murtagh etc.
Cylinder top, analyzes the difference of damping ratio, the difference of its control effect of TMD.Blower fan tower barrel belongs to high flexibility unique construction, it
Inner space is limited, limits the size of the stroke of TMD and mass block under passive control mode.So passive control can not be
Its due control effect is played in blower fan tower barrel structure.
Summary of the invention
The embodiment of the invention provides the blower fan tower barrel semi-active control method based on fuzzy logic inference, can solve existing
There is the problem of technology.
The present invention provides the blower fan tower barrel semi-active control method based on fuzzy logic inference, this method includes following step
Suddenly：
TMD damper is installed in the top layer of blower fan tower barrel, and displacement sensor is installed on the blower fan tower barrel, it will be described
The connection of the input terminal of displacement sensor and fuzzy controller, will be in the output end of the fuzzy controller and the TMD damper
Active variable damping device connection；
Institute's displacement sensors acquire displacement s and displacement knots modification Δ s of the blower fan tower barrel under wind load action, and transmit
To the fuzzy controller, optimal control voltage U is calculated using FUZZY ALGORITHMS FOR CONTROL for the fuzzy controller, then will
Optimum control voltage U is transferred to each active variable damping device in the TMD damper, and the active variable damping device is according to optimal
It controls voltage U and adjusts damping force, damping force is acted on the blower fan tower barrel；
Wherein, the top layer of the blower fan tower barrel is equipped with support plate, and the upper face center of the support plate is fixed with steel column,
The TMD damper is mounted on the outside of the steel column, and the TMD damper includes a circle lead ring, multiple springs and multiple described
Active variable damping device, the lead ring are installed around the steel column, are become between the lead ring and steel column by the spring and actively
Damper connection.
The blower fan tower barrel semi-active control method based on fuzzy logic inference in the embodiment of the present invention, using based on fuzzy
The semi- active control technology of reasoning from logic carries out wind vibration control to blower fan tower barrel, by ringing to the real-time power of tower structure
Fuzzy logic inference should be carried out, exports different damping forces using the damped coefficient that semi-active control algorithm adjusts TMD damper
Vibration control is carried out to tower structure.And Semi-active fuzzy control system emulation is carried out by SIMULINK, the results showed that, it is based on
The semi- active control of fuzzy logic inference is more preferable than traditional control effect passively controlled, and tower structure top can be greatly reduced
The dynamic respond at end.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the process of the blower fan tower barrel semi-active control method provided in an embodiment of the present invention based on fuzzy logic inference
Figure；
Fig. 2 is the work flow diagram of fuzzy controller in Fig. 1；
Fig. 3 is mounting means schematic diagram of the TMD damper in tower structure in Fig. 1；
Fig. 4 is the overlooking structure diagram of TMD damper in Fig. 3；
Fig. 5 is the internal structure chart of active variable damping device；
Fig. 6 is semi- active control and traditional passive displacement comparison controlled in tower top in the present invention；
Fig. 7 is that semi- active control and traditional passive control are compared in the acceleration of tower top in the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig.1, the embodiment of the invention provides the blower fan tower barrel semi-active control methods based on fuzzy logic inference, should
Method includes the following steps：
TMD damper is installed in the top layer of blower fan tower barrel, and displacement sensor is installed on blower fan tower barrel, by displacement sensing
The connection of the input terminal of device and fuzzy controller, the active variable damping device in the output end of fuzzy controller and TMD damper is connected
It connects；
Displacement sensor acquires displacement s and displacement knots modification Δ s of the blower fan tower barrel under wind load action, then will displacement
S and displacement knots modification Δ s are transferred to fuzzy controller, and optimal control is calculated using FUZZY ALGORITHMS FOR CONTROL for fuzzy controller
Optimum control voltage U is transferred to each active variable damping device in TMD damper, active variable damping by voltage U, fuzzy controller
Device adjusts damping force according to optimum control voltage, damping force is acted on blower fan tower barrel, to reduce the position on blower fan tower barrel top
Move response.
The top layer of blower fan tower barrel 100 is equipped with support plate 110 in the first step, and the upper face center of support plate 110 is vertically solid
Surely there is steel column 120, TMD damper 130 is mounted on 120 outside of steel column, and as shown in Figures 3 and 4, TMD damper 130 includes a circle
Lead ring 131, multiple springs 132 and multiple active variable damping devices 133, lead ring 131 are cylinder-like structure, are installed around steel column 120
It is used as mass block.It is connected between lead ring 131 and steel column 120 by spring 132 and active variable damping device 133, the present embodiment
The quantity of middle spring 132 is 8, and the quantity of active variable damping device 133 is also 8,133 phase of spring 132 and active variable damping device
Mutually interval is uniformly mounted between lead ring 131 and steel column 120, therefore the folder between adjacent springs 132 and active variable damping device 133
Angle is 22.5 degree, the coefficient of elasticity and equal length of each spring 132, the damped coefficient of each active variable damping device 133 also phase
Together.The bottom of lead ring 131 is equipped with multiple idler wheels 140, keeps lead ring 131 movable over the carrier plate 110.
The inside of active variable damping device 133 is filled with hydraulic oil 134, as shown in figure 5, the inside of active variable damping device 133
Piston 135 is installed, the both ends of the piston 135 pass through the two opposite side walls of active variable damping device 133 using bar and reach master
The outside of dynamic variable damping device 133.Oil pipe 136 was also equipped on active variable damping device 133, this cross on oil pipe 136 both ends with
The inside of active variable damping device 133 is connected to, and the both ends for crossing oil pipe 136 are located at the two sides of piston 135, is crossed on oil pipe 136
Electrohydraulic servo valve 137 is installed, for the aperture of the electrohydraulic servo valve 137 by the control of control voltage, the more big then aperture of voltage is bigger,
Otherwise the smaller then aperture of voltage is smaller, and the aperture of electrohydraulic servo valve 137 influenced the flowing velocity of hydraulic oil in oil pipe 136, because
The damping force of this control more big then active variable damping device 133 of voltage is smaller, controls the resistance of the smaller then active variable damping device 133 of voltage
Buddhist nun's power is bigger.
Referring to Fig. 2, the FUZZY ALGORITHMS FOR CONTROL that fuzzy controller uses includes blurring, fuzzy reasoning and anti fuzzy method three
The displacement s of input and displacement knots modification Δ s are divided into phase according to input and output subordinating degree function in the blurring stage by step respectively
The fuzzy set answered, the quantity of the fuzzy set are 6, respectively PB, PM, PS, NS, NM and NB, respectively indicate it is larger just, it is moderate
Just, smaller just, smaller negative, moderate negative and larger negative.In the fuzzy reasoning stage, according to displacement s and to be displaced knots modification Δ s corresponding
Fuzzy set inquires corresponding control voltage fuzzy set in preset fuzzy control rule.It is corresponding to obtain control voltage
After fuzzy set, the anti fuzzy method stage exports control electricity corresponding with control voltage fuzzy set according to input and output subordinating degree function
Pressure.The domain that s is displaced in the present embodiment is 0~h/100, and wherein h is tower height, and the displacement s of input is divided according to domain
Into corresponding fuzzy set, the domain of control voltage U is 0.75~2V, and obtained control voltage fuzzy set takes phase according to domain
The occurrence answered.
Above-mentioned fuzzy control rule is as follows：
1. can apply moderate Reverse Turning Control power if positive displacement very little and if becoming larger, i.e. negative damping power is moderate, i.e.,
Backward voltage is moderate.
2. the Reverse Turning Control power of very little, i.e. negative damping power very little if positive displacement very little and can be applied if becoming smaller, i.e.,
Backward voltage is very big.
3. moderate if positive displacement and can apply very big Reverse Turning Control power if becoming larger, i.e. negative damping power is very big, i.e.,
Backward voltage very little.
4. it is moderate if positive displacement and moderate Reverse Turning Control power, i.e. negative damping power very little can be applied if becoming smaller, i.e.,
Backward voltage is very big.
5. greatly and can apply very big Reverse Turning Control power if becoming larger very if positive displacement, i.e. negative damping power is very big, i.e.,
Backward voltage very little.
6. greatly and can apply moderate Reverse Turning Control power if becoming smaller very if positive displacement, i.e. negative damping power is moderate, i.e.,
Backward voltage is moderate.
7. can apply moderate Reverse Turning Control power if negative displacement very little and if becoming larger, i.e. positive damping power is moderate, i.e.,
Forward voltage is moderate.
8. the Reverse Turning Control power of very little, i.e. positive damping power very little if negative displacement very little and can be applied if becoming smaller, i.e.,
Forward voltage is very big.
9. moderate if negative displacement and can apply very big Reverse Turning Control power if becoming larger, i.e. positive damping power is very big, i.e.,
Forward voltage very little.
10. moderate if negative displacement and can apply moderate Reverse Turning Control power if becoming smaller, i.e. positive damping power is moderate, i.e.,
Forward voltage is moderate.
11. greatly and can apply very big Reverse Turning Control power if becoming larger very if negative displacement, i.e. positive damping power is very big, i.e.,
Forward voltage very little.
12. greatly and can apply moderate Reverse Turning Control power if becoming smaller very if negative displacement, i.e. positive damping power is moderate, i.e.,
Forward voltage is moderate.
The fuzzy reasoning table that above-mentioned fuzzy control rule can be expressed as：
1 fuzzy reasoning table of table
It is also 6 that the fuzzy set of voltage U is controlled in upper table, indicates that meaning is identical with displacement s, displacement knots modification Δ s, control
Each fuzzy set of voltage U corresponds to a specific voltage value, such as the corresponding voltage value of fuzzy set PS is 1.58V, obscures
The corresponding voltage value of collection NS is 1.38V, and the anti fuzzy method stage, the control voltage U of output was specific voltage value.
Under the action of wind load, passive and semi- active control is carried out respectively to blower fan tower barrel, and to blower fan tower barrel not
It is compared and analyzed with the displacement of tower top, Acceleration time course under control mode, as a result as shown in Figure 6 and Figure 7, control action
Effect is shown in Table 2.
2 control action effect of table
The result shows that：Based on the semi- active control of fuzzy control to the wind vibration control effect of blower fan tower barrel structure than passing
The passive control effect of system is more preferable.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (5)
1. the blower fan tower barrel semi-active control method based on fuzzy logic inference, which is characterized in that this approach includes the following steps：
TMD damper is installed in the top layer of blower fan tower barrel, and displacement sensor is installed on the blower fan tower barrel, by the displacement
The input terminal of sensor and fuzzy controller connection, by the master in the output end of the fuzzy controller and the TMD damper
Dynamic variable damping device connection；
Institute's displacement sensors acquire displacement s and displacement knots modification Δ s of the blower fan tower barrel under wind load action, and are transferred to institute
Fuzzy controller is stated, optimal control voltage U is calculated using FUZZY ALGORITHMS FOR CONTROL for the fuzzy controller, then will be optimal
Control voltage U is transferred to each active variable damping device in the TMD damper, and the active variable damping device is according to optimum control
Voltage U adjusts damping force, and damping force is acted on the blower fan tower barrel；
Wherein, the top layer of the blower fan tower barrel is equipped with support plate, and the upper face center of the support plate is fixed with steel column, described
TMD damper is mounted on the outside of the steel column, and the TMD damper includes a circle lead ring, multiple springs and multiple actives
Variable damping device, the lead ring are installed around the steel column, pass through the spring and active variable damping between the lead ring and steel column
Device connection.
2. the blower fan tower barrel semi-active control method based on fuzzy logic inference as described in claim 1, which is characterized in that institute
The FUZZY ALGORITHMS FOR CONTROL for stating fuzzy controller use includes blurring, fuzzy reasoning and anti fuzzy method three phases, is blurred rank
The displacement s of input and displacement knots modification Δ s are divided into corresponding fuzzy set according to input and output subordinating degree function respectively in section；?
The fuzzy reasoning stage, according to displacement s fuzzy set corresponding with displacement knots modification Δ s, in preset fuzzy control rule
The corresponding control voltage fuzzy set of inquiry；After obtaining the corresponding fuzzy set of control voltage, the anti fuzzy method stage is according to the input
Export subordinating degree function output control voltage U corresponding with control voltage fuzzy set.
3. the blower fan tower barrel semi-active control method based on fuzzy logic inference as described in claim 1, which is characterized in that institute
The quantity for stating spring is 8, and the quantity of the active variable damping device is also 8, and the spring and active variable damping device are mutual
Every being uniformly mounted between the lead ring and steel column, the coefficient of elasticity and equal length of each spring, each active
The damped coefficient of variable damping device is identical.
4. the blower fan tower barrel semi-active control method based on fuzzy logic inference as claimed in claim 3, which is characterized in that institute
The bottom for stating lead ring is equipped with multiple idler wheels, keeps the lead ring movable on the supporting plate.
5. the blower fan tower barrel semi-active control method based on fuzzy logic inference as described in claim 1, which is characterized in that institute
The inside for stating active variable damping device is equipped with piston, and the both ends of the piston pass through the two opposite side walls of active variable damping device using bar
And reach the outside of active variable damping device, oil pipe was installed on the active variable damping device, this cross the both ends of oil pipe with
The inside of the active variable damping device is connected to, and the both ends for crossing oil pipe are located at the two sides of the piston, described excessively oily
Electrohydraulic servo valve is installed, the aperture of the electrohydraulic servo valve is by the control for controlling voltage U on pipe.
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| CN201810831730.4A CN108919648B (en) | 2018-07-26 | 2018-07-26 | Semi-active control method for fan tower drum based on fuzzy logic reasoning |
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| CN110456637A (en) * | 2019-07-16 | 2019-11-15 | 大连理工大学 | A kind of adaptive fuzzy Multi-target machine electric control method reducing fan vibration |
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| WO2024093034A1 (en) * | 2022-11-02 | 2024-05-10 | 中国华能集团清洁能源技术研究院有限公司 | Wind turbine tower tuned vibration damping device and system |
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| WO2024093034A1 (en) * | 2022-11-02 | 2024-05-10 | 中国华能集团清洁能源技术研究院有限公司 | Wind turbine tower tuned vibration damping device and system |
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| CN108919648B (en) | 2021-10-01 |
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