CN209469747U - A kind of control system of magnetorheological damping device - Google Patents
A kind of control system of magnetorheological damping device Download PDFInfo
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- CN209469747U CN209469747U CN201821605767.7U CN201821605767U CN209469747U CN 209469747 U CN209469747 U CN 209469747U CN 201821605767 U CN201821605767 U CN 201821605767U CN 209469747 U CN209469747 U CN 209469747U
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Abstract
The utility model discloses a kind of control systems of magnetorheological damping device, the control system of the magnetorheological damping device, it can not only realize that the energy of magnetorheological damping device automatically supplies, stable and sufficient extra power is provided for whole system, and also achieve and magnetorheological damping device output electric current is accurately controlled, to improve the working efficiency of damping device；Its fuzzy controller used can efficiently collect solar energy, while its electric current that corresponding size can be exported according to external vibration signal, control coil magnetic field, and then control the damping force of magnetorheological materials, to greatly improve damping effect.
Description
Technical field
The utility model relates to a kind of magnetorheological damping control systems that the achievable energy automatically supplies, and belong to intelligence instrument skill
Art field.
Background technique
Magnetorheological materials are a kind of intellectual materials, it can export corresponding damping because of the variation of its ambient magnetic field strength
Power will usually control electric current input coil, and coil generates corresponding magnetic field, and magnetic field makes magnetorheological materials export corresponding damping force.It will
Magnetorheological materials, which are filled into, to be subtracted in isolation mounting, with magnetic rheological vibration damper made of this because of the characteristic of its variation rigidity variable damping,
It is largely used in vibration damping environment.Under major applications occasion, it is steady that magnetorheological damping device requires an energy output
Fixed and sufficient external power supply.In view of flexibility of the magnetorheological damping device in practical implementation, one kind is developed
The control system that can be realized the magnetorheological damping device that the energy automatically supplies has very great meaning.
Utility model content
Purpose of utility model: the technical problem to be solved by the utility model is to provide a kind of controls of magnetorheological damping device
System processed, the control system can be realized automatically supplying for the magnetorheological damping device energy, while guarantee that system power supply mould is given in output
The energy stabilization and abundance of block, and the electric current of corresponding size can also be exported according to external vibration signal, pass through control coil
Realize the control to magnetorheological materials damping force in magnetic field.
In order to solve the above technical problems, the technology employed by the present utility model is
A kind of control system of magnetorheological damping device, is made of charge control module and current control module；
The charge control module includes solar panel, fuzzy controller, Buck-boost circuit and rechargeable battery,
Fuzzy controller is made of signal acquisition module, fuzzy logic control chip and driving circuit；The power supply of Buck-boost circuit is defeated
Enter end connection solar panel, the load end of Buck-boost circuit and the positive and negative anodes of rechargeable battery connect, signal acquisition mould
Block acquires the voltage and current of solar panel, and the PWM wave of fuzzy logic control chip output drives Buck- by driving circuit
MOSEFT switching tube in boost circuit simultaneously controls its duty cycle of switching, so that Buck-boost circuit is generated stable voltage defeated
Out to rechargeable battery；Rechargeable battery is the energy supply of entire control system, and rechargeable battery is electric with control panel, sensor and periphery respectively
Road connection；Fuzzy controller can be such that solar panel fills with maximum power to rechargeable battery in the insufficient situation of illumination
Electricity, to realize the efficient charging of solar energy；
The current control module includes displacement sensor and acceleration transducer, current control chip and peripheral circuit mould
Collected displacement signal and acceleration signal are transferred to by block, displacement sensor and acceleration transducer by AD conversion module
Current control chip, current control chip export PWM wave after handling signal, then pass through peripheral circuit module for PWM
Wave is converted into current signal and exports to magnetorheological damping device.
Wherein, the rechargeable battery original state in charge control module is electricity saturation state, and rechargeable battery is entire system
All power device energy supplies in system, including charge controlling chip and current control chip, magnetorheological damping device, displacement and acceleration
Spend sensor, peripheral circuit module；Solar panel is acted on using photovoltaic and being charged to rechargeable battery.
Wherein, the signal acquisition module of fuzzy controller is voltage and current sensor, the input terminal of fuzzy logic control chip
It is connect with voltage and current sensor, voltage and current sensor is connect with solar panel, acquires solar panel
Voltage and current.
Wherein, the peripheral circuit module includes optical coupling isolation circuit, low-pass filtering and drive amplification circuit and voltage-controlled
Current circuit.
Wherein, the displacement signal and acceleration signal of institute's displacement sensors and acceleration transducer acquisition building structure,
The output end of displacement sensor and acceleration transducer is all connect with the AD conversion interface of current control chip, and AD conversion module will
The analog signal of displacement and acceleration is converted to digital signal, and current control chip carries out the displacement of AD conversion and acceleration value
Judgement, selects the PWM wave of duty ratio corresponding to export；The PWM wave voltage that voltage controlled current circuit exports the current control chip is believed
Number being converted to current signal inputs to magnetorheological damping device.
Wherein, in the voltage controlled current circuit, operational amplifier A1 is in profound and negative feedbck state, and plays amplification voltage
Effect.The emitter junction of operational amplifier two triodes of series connection, the collector of two triodes are connected, and connect 12V electricity jointly
Source, before the emitter of triode be connected with the base stage of triode below, two triodes are connected into Darlington transistor, electric current
Amplification factor is the product of two triodes, improves the ability of circuit amplification electric current.By " empty short empty disconnected " of operational amplifier
It obtains, the voltage at the both ends resistance R20 is equal with the input voltage of voltage controlled current circuit.Electric current is exported from interface RS0 to magnetorheological
Damper flows through the electric current and stream of MR damper by the resistance value < < 100k of the MR damper controlled
The electric current for crossing R20 is equal.Therefore, flow through the electric current of MR damper and the input voltage VOUT of voltage controlled current circuit and
The resistance value of R20 is related, and setting R20 resistance value can obtain and current value corresponding to input voltage
Current control module calculates the current signal of control system theory output according to the vibration signal of vibration source, and defeated
Corresponding PWM wave (voltage signal) out, by call linux system api function, realize to acquisition data processing and
The output of PWM wave；Peripheral circuit converts electric current for the voltage of output again, is input to magnetorheological damping device, magnetorheological damping
Device provides damping of the corresponding damping force realization to building structure.
Compared with prior art, technical solutions of the utility model have the beneficial effect that
The control system of the magnetorheological damping device of the utility model can not only realize the energy of magnetorheological damping device certainly
Supply provides stable and sufficient extra power for whole system, and also achieves and export electric current to magnetorheological damping device
Accurately control, to improve the working efficiency of damping device；Its fuzzy controller used can efficiently collect solar energy,
Its electric current that corresponding size can be exported according to external vibration signal, control coil magnetic field simultaneously, and then control magnetorheological materials
Damping force, to greatly improve damping effect.
Detailed description of the invention
Fig. 1 is the functional block diagram of the magnetorheological damping device control system of the utility model；
Fig. 2 is the schematic diagram of charge control module；
Fig. 3 is the structural block diagram of charge control module；
Fig. 4 is the control flow chart of charge control module；
Fig. 5 is the solar panel simulation model of charge control module；
Fig. 6 is the membership function of the fuzzy controller input quantity e of charge control module；
Fig. 7 is the membership function of the fuzzy controller input quantity ec of charge control module；
Fig. 8 is the membership function of the fuzzy controller output quantity D of charge control module；
Fig. 9 is the fuzzy rule of the fuzzy controller of charge control module；
Figure 10 is the Simulation of fuzzy controller model of the utility model Control system simulation emulation；
Figure 11 is Buck-boost conversion circuit figure in charge control module；
Figure 12 is current control module simulation model；
Figure 13 is the schematic diagram of current control module；
Figure 14 is the structural block diagram of charge control module；
Figure 15 is the control flow chart of current control module；
Figure 16 is the signal processing figure exported from PWM wave to electric current；
Figure 17 is the circuit diagram of optical coupling isolation circuit；
Figure 18 is the circuit diagram of low-pass filtering and drive amplification circuit；
Figure 19 is the circuit diagram of voltage controlled current circuit.
Specific embodiment
The technical solution of the utility model is described further below in conjunction with attached drawing.
As shown in Figure 1, the control system of the magnetorheological damping device of the utility model, by charge control module and current control
Module composition；Charge control module includes solar panel, fuzzy controller, Buck-boost circuit and rechargeable battery, mould
Fuzzy controllers are made of signal acquisition module, fuzzy logic control chip and driving circuit；The power input of Buck-boost circuit
End connection solar panel, the load end of Buck-boost circuit and the positive and negative anodes of rechargeable battery connect, signal acquisition module
The voltage and current of solar panel is acquired, the PWM wave of fuzzy logic control chip output drives Buck- by driving circuit
MOSEFT switching tube in boost circuit simultaneously controls its duty cycle of switching, so that Buck-boost circuit is generated stable voltage defeated
Out to rechargeable battery；Rechargeable battery is all power devices energy supply in entire control system, rechargeable battery respectively with control panel, pass
Sensor and peripheral circuit connection；Fuzzy controller can make solar panel in the insufficient situation of illumination with maximum power
It charges to rechargeable battery, to realize the efficient charging of solar energy；Current control module includes that displacement sensor and acceleration pass
Sensor, current control chip and peripheral circuit module, displacement sensor and acceleration transducer by collected displacement signal and
Acceleration signal is transferred to current control chip by AD conversion module, and current control chip is to displacement signal and acceleration signal
PWM wave is exported after being handled, and PWM wave is then converted by current signal by peripheral circuit module and is exported to magnetorheological damping
Device.Current control chip is first AD converted displacement collected from building structure and acceleration signal, then passes through
Algorithm is calculated corresponding PWM wave and exports to peripheral circuit, obtains corresponding electric current through voltage-current converter circuit, finally
Electric current is input to the magnetorheological damping device in building structure, realizes the damping to building structure.
As shown in figs. 2 to 4, the charge control module of the utility model control system, first by the electricity of solar panel
Pressure and electric current carry out calculation processing and obtain the ratio of two input quantity difference powers and difference power and electric current and carry out Fuzzy processing,
Voltage control quantity D is obtained as two inputs of fuzzy controller, then the fuzzy rule inference through fuzzy controller, will be controlled
Amount defuzzification processed obtains accurate duty command (PWM wave) and inputs in MOSEFT driving circuit, to Buck-boost electricity
Switching tube in road carries out duty cycle of switching control, and then controls the voltage of rechargeable battery charging.
It is to utilize the simulink in Matlab as shown in figure 5, being the solar panel simulation model of this control system
The model that library is built.Wherein, T is environment temperature, and S is Intensity of the sunlight, VmAnd ImThe voltage and current of corresponding maximum power point,
UOcAnd IscFor open-circuit voltage and short circuit current.
As shown in Fig. 6~9, for the membership function figure and fuzzy rule of fuzzy controller two inputs and an output.
The fuzzy controller of the utility model uses the two-dimensional structure mode of dual input list output, using Mamdani pattern
Fuzzy control system.Fuzzy controller acquires the electric current and voltage signal of solar panel, is computed the available power of processing.
Two input quantities of fuzzy controller be n-th and (n-1)th sampling point power difference e and two o'clock difference power respectively and adopt
The ratio in sample period, i.e. power variation rate ec, the output quantity of fuzzy controller are switching tube duty ratio control amount d.Fuzzy control
The membership function of the input and output amount of device is all made of triangular membership functions and combines with bell membership function, such as Fig. 6,7,8.It is fuzzy
Linguistic variable all selects 7 gears, { NL, NM, NS, Z, PS, PM, PL }, corresponding it is negative it is big, negative in, bear small, negative zero, be positive zero, just small, just
In, it is honest.(" negative big " indicates that there are many current value deviation ideal standard value negative direction, and " in negative " indicates that current value is biased to ideal mark
Quasi- value negative direction is more, and " bearing small " indicates that current value deviation ideal standard value negative direction is smaller, and so on.) this system control
The principle that system rule is established is as follows:
When two sampling point power difference e are negative, i.e., current power is reducing, and needs to increase power at this time, then improves and open
Pipe duty ratio control amount d is closed, increases power to improve charging voltage；It is on the contrary then reduce d.
When two sampling point power change rate ec are negative big, i.e., current power is quickly reducing, and needs to improve at this time and open
Pipe duty ratio control amount d is closed, power is quickly increased to ideal value；It is on the contrary then reduce d.
When the factors such as temperature, intensity of sunshine change, and the output power from photovoltaic cells is caused to vary widely, system
Quick reaction can be made.
Influence in view of ambient enviroment (temperature, illumination etc.) to solar battery, comprehensive many experiments experience, obtains depanning
The fuzzy rule of fuzzy controllers is as shown in Figure 9.
It as shown in Figure 10, is the simulation model of the fuzzy controller of this Control system simulation emulation.
It as shown in figure 11, is the Buck-boost conversion circuit figure in charge control module.When switching tube conducting, capacitor
The energy of C1 is discharged by the circuit L2, C2, R, while to C2, L2 energy storage, while power supply stores energy to L1, C；It is closed in switching tube
When closing, the electric current on C, L1 charges by diode continuousing flow, while to C1.
It as shown in figure 12, is entire simulation model of the charge control module in the library simulink in Matlab.
It as shown in figure 13, is the functional block diagram of the current control module of the magnetorheological damping device of this control system.Charging electricity
Pond is energized for the device of electricity consumption in need in whole system, including charge controlling chip and current control chip, magnetorheological is subtracted
Shake device, displacement and acceleration transducer and peripheral circuit module；Rechargeable battery original state is electricity saturation state, solar energy
Solar panel is acted on using photovoltaic and being charged to rechargeable battery.The displacement and vibration of controller (current control chip) acquisition building structure
Then acceleration obtains corresponding PWM wave signal after signal processing and algorithm calculate, the PWM wave signal is through peripheral circuit
Voltage signal is converted into current signal, is finally entered in the magnetorheological damping device in building structure, is realized and building is tied
The damping of structure.Process step is shown in Figure 15.
As shown in figure 16, the signal processing figure to be exported from PWM wave to electric current.Peripheral circuit is by light-coupled isolation, low pass filtered
Wave, drive amplification and voltage controlled current circuit composition.The current signal that PWM wave is converted into corresponding size through peripheral circuit is inputted
To magnetorheological damping device, magnetorheological damping device exports damping force according to electric current, realizes the damping to building structure.
It as shown in figure 17, is photoelectric coupled circuit figure.The size that controller exports PWM wave is mainly related with the duty ratio of setting,
But the interference of external environment, which can equally export it, to be had a certain impact, such as temperature, supply voltage, therefore the output of PWM wave
Precision is difficult to be guaranteed.And big more of circuital current inside electricity flow ratio controllers needed for magnetorheological damping device, if by outer
It encloses circuit to be connected directly with controller, the circuit inside controller will be burned.In order to allow controller to export high-precision PWM
Wave, while the circuit inside controller being protected not influenced by high current, photo-coupler pair is added in this controller PWM wave output end
The PWM wave of output carries out shaping, and the PWM wave for being exported controller using photo-coupler is adjusted in optimum range.Photo-coupler
The circuit inside controller is protected not influenced by high current simultaneously.The utility model is selected to obtain photo-coupler model
TLP52。
It as shown in figure 18, is low-pass filtering and drive amplification circuit.Due to containing 1 direct current, 11 in pwm pulse wave
The component of subharmonic and 1 higher hamonic wave, as long as therefore 1 order harmonic components are filtered, higher harmonic components are not present, i.e.,
It can obtain the DC voltage component of fluctuation very little.Therefore controller is exported using second order RC lowpass filter PWM wave into
Row filtering.The time constant of low-pass filter is determined according to the output frequency of circuit design response time and PWM, at that time
Between constant be significantly larger than controller output PWM wave frequency.In addition, after second order RC lowpass filter plus voltage follower and
Power amplifier can reduce the output impedance of circuit, enhance the load capacity of circuit.The duty of output voltage and pwm pulse wave
Than directly proportional, proportionality coefficient is exported the duty ratio of PWM wave by controller, is specifically represented by VOUT=duty*VCCW5,
Duty is the duty ratio of PWM wave, and VCCW5 is external 5V power supply.
It as shown in figure 19, is voltage controlled current circuit.In this circuit arrangement, operational amplifier A1 is in profound and negative feedbck state,
And play the role of amplifying voltage.Two NPN type large power triode 2N3055 are connected into Darlington transistor and play amplification electric current
Effect.It can be obtained, U3-U4=VOUT, the voltage and voltage controlled current circuit at the both ends resistance R20 according to operational amplifier " empty short empty disconnected "
Input voltage VOUT it is equal, then by the electric current I of R20 are as follows: I=VOUT/R20.Electric current is exported to magnetorheological damping from RS0 and is filled
It sets, by the resistance value < < 100k of the magnetorheological damping device controlled, flows through the electric current and stream of magnetorheological damping device
The electric current for crossing R20 is equal.It can be seen that flowing through the electric current of magnetorheological damping device by the input voltage VOUT of voltage controlled current circuit
And the resistance value of R20 is related, setting R20 resistance value is 2.5 Ω, since the range of input voltage VOUT is 0~5V, voltage-controlled electricity
The output electric current of current circuit is 0~2A.
Claims (5)
1. a kind of control system of magnetorheological damping device, it is characterised in that: by charge control module and current control module group
At；
The charge control module includes solar panel, fuzzy controller, Buck-boost circuit and rechargeable battery, is obscured
Controller is made of signal acquisition module, fuzzy logic control chip and driving circuit；The power input of Buck-boost circuit
Solar panel is connected, the load end of Buck-boost circuit and the positive and negative anodes of rechargeable battery connect, and signal acquisition module is adopted
Collect the voltage and current of solar panel, the PWM wave of fuzzy logic control chip output drives Buck-boost by driving circuit
MOSEFT switching tube in circuit simultaneously controls its duty cycle of switching, and controlling Buck-bost circuit by duty ratio makes Buck-
Boost circuit generates stable voltage output to rechargeable battery；
The current control module includes displacement sensor, acceleration transducer, current control chip and peripheral circuit module, position
Collected displacement signal and acceleration signal are transferred to electric current by AD conversion module by displacement sensor and acceleration transducer
Chip is controlled, then current control chip passes through peripheral circuit mould to PWM wave is exported after displacement signal and acceleration signal processing
PWM wave is converted into current signal and exported to magnetorheological damping device by block.
2. the control system of magnetorheological damping device according to claim 1, it is characterised in that: in charge control module
Rechargeable battery original state is electricity saturation state, and rechargeable battery is all power device energy supplies in whole system, including charging
Control chip and current control chip, magnetorheological damping device, displacement and acceleration transducer, peripheral circuit module；Solar energy
Solar panel is acted on using photovoltaic and being charged to rechargeable battery.
3. the control system of magnetorheological damping device according to claim 1, it is characterised in that: the signal of fuzzy controller
Acquisition module is voltage and current sensor, and the input terminal of fuzzy logic control chip connect with voltage and current sensor, voltage with
Current sensor is connect with solar panel, acquires the voltage and current of solar panel.
4. the control system of magnetorheological damping device according to claim 1, it is characterised in that: the peripheral circuit module
Including optical coupling isolation circuit, low-pass filtering and drive amplification circuit and voltage controlled current circuit.
5. the control system of magnetorheological damping device according to claim 4, it is characterised in that: the voltage controlled current circuit
In, operational amplifier A1 is in profound and negative feedbck state, the emitter junction of operational amplifier A1 two triodes of series connection, two three poles
The collector of pipe is connected, and connects 12V power supply jointly, and the emitter of first triode is connected with the base stage of second triode
It connects, two triodes are connected into Darlington transistor, and the amplification factor of electric current is the product of two triodes.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821605767.7U CN209469747U (en) | 2018-09-29 | 2018-09-29 | A kind of control system of magnetorheological damping device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201821605767.7U CN209469747U (en) | 2018-09-29 | 2018-09-29 | A kind of control system of magnetorheological damping device |
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| Publication Number | Publication Date |
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| CN209469747U true CN209469747U (en) | 2019-10-08 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109114152A (en) * | 2018-09-29 | 2019-01-01 | 南京林业大学 | A kind of control system of magnetorheological damping device |
| CN113447742A (en) * | 2021-06-24 | 2021-09-28 | 中国舰船研究设计中心 | Wide spectrum/ultra-wide spectrum electromagnetic environment testing system |
-
2018
- 2018-09-29 CN CN201821605767.7U patent/CN209469747U/en not_active Withdrawn - After Issue
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109114152A (en) * | 2018-09-29 | 2019-01-01 | 南京林业大学 | A kind of control system of magnetorheological damping device |
| CN109114152B (en) * | 2018-09-29 | 2023-11-03 | 南京林业大学 | Control system of magneto-rheological damping device |
| CN113447742A (en) * | 2021-06-24 | 2021-09-28 | 中国舰船研究设计中心 | Wide spectrum/ultra-wide spectrum electromagnetic environment testing system |
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