CN111884557A - Pumping unit control method based on motor power torque - Google Patents
Pumping unit control method based on motor power torque Download PDFInfo
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- 238000005086 pumping Methods 0.000 title claims abstract description 252
- 238000000034 method Methods 0.000 title claims abstract description 67
- 239000007788 liquid Substances 0.000 claims description 50
- 238000005094 computer simulation Methods 0.000 claims description 23
- 230000005540 biological transmission Effects 0.000 claims description 8
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- 238000004519 manufacturing process Methods 0.000 abstract description 7
- 230000000694 effects Effects 0.000 abstract description 3
- 238000005265 energy consumption Methods 0.000 abstract description 3
- 239000003129 oil well Substances 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P23/00—Arrangements or methods for the control of AC motors characterised by a control method other than vector control
- H02P23/0077—Characterised by the use of a particular software algorithm
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/12—Methods or apparatus for controlling the flow of the obtained fluid to or in wells
- E21B43/121—Lifting well fluids
- E21B43/126—Adaptations of down-hole pump systems powered by drives outside the borehole, e.g. by a rotary or oscillating drive
- E21B43/127—Adaptations of walking-beam pump systems
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Abstract
The invention discloses a pumping unit control method based on motor power torque, which comprises the following steps of self-learning, wherein an intelligent pumping unit controller self-learns average full pumping motor power torque, average empty pumping motor power torque and theoretical interval pumping time; and thirdly, the input parameter measuring module samples output current of the inverter output so as to obtain an output current change signal, the output current change signal is used for calculating the power torque of the motor, and the intelligent pumping unit controller is used for adjusting the output frequency so as to adjust the running frequency of the motor and change the pumping speed. The output rotating speed required in real time is obtained according to the real-time change condition of the current/torque of the motor, so that a better energy-saving effect is realized, the balance of supply and production is achieved, the mechanical production efficiency is improved, and the energy consumption of the oil pumping unit in the oil production process is reduced.
Description
Technical Field
The invention belongs to the technical field of oil extraction control, and particularly relates to a pumping unit control method based on motor power torque.
Background
The pumping unit is the most main power consumption equipment in the oil field exploitation process, and a beam pumping unit is generally used at present. The current is great when the beam-pumping unit starts, and for reliable start, the motor that the beam-pumping unit disposed is generally the type selection and enlargies, will lead to the motor to often have big horse to draw the dolly condition during normal operating like this, and the operating efficiency is low. Meanwhile, the oil field is often an old oil well which has been operated for many years, and the oil yield of the oil well is not very fixed. The plunger pump can work under the condition of idle pumping or insufficient pumping quantity, so that the ineffective abrasion of mechanical equipment of the beam pumping unit is caused, and the operation and maintenance cost of the equipment is increased. And meanwhile, the waste of electric energy is caused.
The method commonly adopted in the oil field at present comprises the following steps: the mechanical stroke is adjusted, the transmission ratio is changed to adjust the oil pumping speed, or the power frequency continuous oil pumping mode is changed into a time-opening oil pumping mode controlled by a time relay, and a frequency converter and a PLC are adopted to operate at multiple speeds and detect and adjust the stroke frequency of the power diagram dynamic liquid level.
The problems that the mechanical stroke of the pumping unit is adjusted, the balance of the pumping unit is easy to change greatly, the balance adjustment operation is often needed, and the labor intensity and the cost are increased exist in the methods. The change of the transmission ratio to adjust the oil pumping speed only roughly adjusts the stroke frequency, increases the batch of stock spare parts and indirectly increases the oil production cost. The condition that an oil pipe is frozen to be dead and oil is not discharged for a long time easily occurs in the intermittent oil extraction mode in winter. The frequency converter and the PLC can properly improve the efficiency in a multi-speed operation mode, but the frequency/time of the multi-speed operation mode is difficult to find accurately, and the operation efficiency of the oil pumping unit is difficult to further improve. The detection of the indicator diagram dynamic liquid level is greatly influenced by the cost of the sensor, the quality stability and the parameter change of different oil wells, the debugging is troublesome, the requirement on the specialty is high, and the indicator diagram dynamic liquid level detection method cannot be successfully popularized and applied in a large area all the time.
For an unbalanced pumping unit, the phenomenon of motor overspeed operation exists in different stages of the whole stroke cycle, and the condition that the motor generates electricity reversely to cause overvoltage stall of a motor driver can cause direct-current overvoltage alarm of a main loop of a frequency converter.
The existing general control method comprises the following steps:
the method is simple, the installation cost is low, and electric energy is seriously wasted.
The method is simple in construction and good in energy-saving effect for cluster well groups, but cannot be used for a single pumping unit.
The method is high in cost, the waveform quality of the power grid fed back by part of the feedback units is poor, the influence on the power grid is great, and the method is not suitable for large-area popularization and application.
Disclosure of Invention
The invention aims to provide a control method of an oil pumping unit based on motor power torque, which can obtain the optimal oil pumping speed according to real-time output power and torque.
The invention aims to realize the purpose through the following technical means, and the pumping unit control method based on the motor power torque comprises the following steps:
firstly, establishing a liquid level dynamic simulation model.
Secondly, the intelligent controller of the pumping unit controls the motor to operate;
thirdly, changing the pumping speed of the pumping unit to obtain the motor power torque of the motor, and adjusting the running frequency of the motor by the intelligent pumping unit controller according to the comparison between the surface dynamic simulation model and the motor power torque so as to change the pumping speed of the pumping unit;
fourthly, stopping the machine in a thinning mode,
when the power torque of the motor accords with the hollow pumping state of the liquid level dynamic simulation model, the intelligent controller of the pumping unit controls the motor to stop working;
and fifthly, restarting the intermittent pumping mode, starting pumping oil again after a period of time, and repeating the second step to the fourth step.
The method for establishing the liquid level dynamic simulation model comprises the steps that the intelligent oil pumping unit controller self-learns the average full pumping motor power torque, the average idle pumping motor power torque and the theoretical interval time, and the liquid level dynamic simulation model is established according to the self-learned average full pumping motor power torque and the average idle pumping motor power torque.
The self-learning method of the intelligent controller of the oil pumping unit comprises the following steps of 1), self-learning of full pumping torque, setting self-learning time in an intermittent pumping mode, enabling the oil pumping unit to run at a power frequency working frequency, and recording the power torque of a full pumping motor in the process to obtain average full pumping motor power torque;
2) self-learning the idle pumping torque, setting self-learning time in an intermittent pumping mode, enabling the pumping unit to operate at the lowest operating frequency of an intelligent pumping mode or the lowest frequency during intermittent pumping of the pumping unit, and recording the power torque of the idle pumping motor in the process to obtain the average power torque of the idle pumping motor;
3) and self-learning the theoretical interval time, setting the initial interval time in the interval mode, recording the average power torque in the interval process after working according to the initial interval time, comparing the average power torque with the average full pumping motor power torque, correcting the initial interval time, repeating the interval work until the obtained average power torque is the same as the average full pumping motor power torque, and determining the interval time as the theoretical interval time of the well.
The method for correcting the initial interval time of interval pumping is that if the average power torque in the interval pumping process of the time is larger than the average full-pumping motor power torque, the interval time of the next interval pumping is reduced; and if the average power torque in the process of the next interval pumping is larger than the average full-pumping motor power torque, increasing the interval time of the next interval pumping.
In the second step, the method for controlling the motor to operate by the intelligent pumping unit controller is that the intelligent pumping unit controller supplies current with initial output frequency to the motor, and the current is transmitted to the motor and then drags the motor to operate;
and in the third step, the motor power torque of the motor is obtained by sampling the output current of the current after the inversion output by the input electrical parameter measuring module so as to obtain an output current change signal, and calculating the motor power torque by using the output current change signal.
The specific method for calculating the motor power torque by the output current change signal is that the torque current Iq and the exciting current Id are obtained according to the output current sampling, and the motor power torque is obtained through vector control Iq Id.
And in the third step, the method for adjusting the motor is that the intelligent controller of the pumping unit changes the output frequency by inhibiting the output signal of the overvoltage stall unit and superposing the output signal to the output frequency, so that the motor is adjusted to change and control the pumping speed of the pumping unit.
The method for comparing the liquid level dynamic simulation model generated by the pumping unit after self-learning with the motor power torque and adjusting the output frequency to change the motor running frequency in the third step comprises the steps of calculating the ratio of the current motor power torque to the average full pumping motor power torque, wherein the ratio of the current motor power torque to the average full pumping motor power torque is a torque coefficient, the motor running frequency is 55-40hz when the torque coefficient is less than or equal to 1 and greater than 0.75, the motor running frequency is 39-30hz when the torque coefficient is less than or equal to 0.75 and greater than 0.5, and the motor running frequency is 25-20hz when the torque coefficient is less than or equal to 0.5 and greater than 0.3; when the torque coefficient is less than or equal to 0.3 and greater than 0, the motor operating frequency is 0 hz.
The input electric parameter measurement module is used for collecting the real-time voltage, current, power grid frequency, power factor, active power, reactive power and accumulated active total electric energy parameters of the current motor; the intelligent controller of the pumping unit acquires the running frequency, the given frequency, the direct current voltage, the output current, the running rotating speed of the motor, the instantaneous power, the average torque, the output average power, the given stroke frequency, the running stroke frequency, the power factor of the motor, the running time value and the running state information; and the data acquisition control unit transmits the data acquired by the input parameter measurement module and the intelligent pumping unit controller to the wired/wireless data transmission unit module and the touch display monitoring unit.
The invention has the beneficial effects that: 1. dynamic simulation data of the liquid level are obtained through the change of the output current and the power torque of the motor, so that the output rotating speed required in real time is obtained, the situations of empty pumping of the motor and the like when the liquid level of the oil well is low are avoided, and the energy consumption of the motor is reduced.
2. The abrasion of ineffective equipment caused by insufficient air pumping and liquid filling and supplying of the oil pumping unit is reduced, the impact on the oil pumping unit during starting and stopping is effectively eliminated, and the extra labor intensity and spare parts for manually replacing a transmission mechanism and adjusting the impact are reduced.
Drawings
FIG. 1 is a schematic flow diagram of a pumping unit control method based on motor power torque;
FIG. 2 is a schematic diagram of the relationship between liquid level and pumping unit operating frequency;
in the figure 1, an electrical parameter measuring module is input; 2. an intelligent controller of the pumping unit; 3. a stall-over-voltage suppression unit; 10. a motor; 11. a data acquisition control unit; 12. a wired/wireless data transmission unit module; 13. and a touch display monitoring unit.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Detailed Description
[ example 1 ]
As shown in fig. 1, a method for controlling a pumping unit based on motor power torque includes the following steps:
firstly, establishing a liquid level dynamic simulation model.
Secondly, the intelligent controller of the pumping unit controls the motor to operate;
thirdly, changing the pumping speed of the pumping unit to obtain the motor power torque of the motor 10, and adjusting the running frequency of the motor 10 by the intelligent pumping unit controller 2 according to the comparison between the surface dynamic simulation model and the motor power torque so as to change the pumping speed of the pumping unit;
fourthly, stopping the machine in a thinning mode,
when the power torque of the motor accords with the hollow pumping state of the liquid level dynamic simulation model, the intelligent controller 2 of the pumping unit controls the motor 10 to stop working;
and fifthly, restarting the intermittent pumping mode, starting pumping oil again after a period of time, and repeating the second step to the fourth step.
In the actual working process of the motor of the oil pumping unit, when the liquid level is very low and the idle pumping occurs, the traveling valve is not opened when the oil pump starts to move upwards, the load of the oil pumping unit is the sum of the weight of the rod column and the weight of the liquid column on the upper part of the traveling valve, most of the weight of the counterweight can be balanced, the motor can send the oil rod column to the well bottom only by using very small energy, and the moment of the motor is small at the moment; when the pump is filled to a high level when the liquid level in the well is high, the traveling valve is opened soon after the descent starts, the liquid level in the pump barrel supports the weight of the liquid column on the upper part of the traveling valve, and the sucker rod string is also immersed in the liquid, so that the suspension point load is only the floating weight of the rod string in the liquid, which also means that the motor will use a larger amount of energy to lift the weight of the crank or the balance weight of the walking beam tail to feed the rod string to the well bottom, and thus the torque, i.e. the motor power torque, is larger.
Therefore, it can be seen that the level of the liquid level is critical to the efficient operation of the oil pump, and the level of the liquid level is greatly related to the pumping speed and the pumping time.
In actual work, the intelligent pumping unit controller 2 firstly performs self-learning in the first step, establishes a liquid level dynamic simulation model, and prepares for the following steps.
And secondly, controlling the motor 10 to work by the intelligent pumping unit controller 2, wherein a specific flow is that the intelligent pumping unit controller 2 gives a current which drives the motor 10 to operate. The operating frequency of the motor 10 is different according to the output frequency of the current.
And thirdly, the pumping speed of the pumping unit is changed, the liquid level height is reduced along with the pumping, so that the operating frequency of the motor 10 needs to be changed, the input electrical parameter measuring module 1 samples output current of the inverter output to obtain an output current change signal, the output current change signal is transmitted to the intelligent pumping unit controller 2, the intelligent pumping unit controller 2 calculates the power torque of the motor according to the output current change signal, and the intelligent pumping unit controller 2 adjusts the output frequency according to the comparison between a liquid level dynamic simulation model generated after self-learning and the power torque of the motor, so that the operating speed of the motor 10 is changed, and the pumping speed is changed.
Fourthly, when the power torque 8 of the motor calculated by the output current change signal is equal to the average idle pumping motor power torque, the liquid level is low at the moment, and the pumping unit is in an idle pumping state, so that the motor 10 stops working and pumping oil stops.
And fifthly, after the pumping interval time of the shutdown theory, the liquid level of the oil well rises, and the liquid level rises from the empty pumping liquid level to the full pumping liquid level, so that the motor 10 can be started again to pump oil. And then pumping oil to a vacuum pumping state, repeating the second step to the fifth step, and continuously performing intermittent pumping circulation.
[ example 2 ]
On the basis of the embodiment 1, as shown in fig. 1, the method for establishing the liquid level dynamic simulation model includes that the pumping unit intelligent controller 2 self-learns the average full pumping motor power torque, the average empty pumping motor power torque and the theoretical interval time, and establishes the liquid level dynamic simulation model according to the self-learned average full pumping motor power torque and the average empty pumping motor power torque.
The intelligent controller 2 of the pumping unit self-learns to obtain the average full pumping motor power torque, the average full pumping motor power torque and the theoretical interval time, and establishes a liquid level dynamic simulation model to prepare for later comparison.
The self-learning method of the intelligent controller 2 of the oil pumping unit comprises the following steps of 1), self-learning of full pumping torque, setting self-learning time in an intermittent pumping mode, enabling the oil pumping unit to run at a power frequency working frequency, and recording the power torque of the full pumping motor in the process to obtain average full pumping motor power torque;
2) self-learning the idle pumping torque, setting self-learning time in an intermittent pumping mode, enabling the pumping unit to operate at the lowest operating frequency of an intelligent pumping mode or the lowest frequency during intermittent pumping of the pumping unit, and recording the power torque of the idle pumping motor in the process to obtain the average power torque of the idle pumping motor;
3) and self-learning the theoretical interval time, setting the initial interval time in the interval mode, recording the average power torque in the interval process after working according to the initial interval time, comparing the average power torque with the average full pumping motor power torque, correcting the initial interval time, repeating the interval work until the obtained average power torque is the same as the average full pumping motor power torque, and determining the interval time as the theoretical interval time of the well.
In the self-learning process, the motor power torque under the full pumping condition is firstly learned, the motor 10 is enabled to work for a period of time, such as 150 minutes, the current motor power torque is recorded at intervals of 150 minutes, and all the motor power torques in the period are averaged, so that the average full pumping motor power torque is obtained.
And then self-learning the motor power torque under the condition of idle pumping, after the previous pumping, the oil well liquid level is lowered to the idle pumping state, then pumping oil for a period of time, such as 60 minutes, recording the motor power torque at intervals of time, and obtaining the average idle pumping motor power torque through averaging.
The method for correcting the initial interval time of interval pumping is that if the average power torque in the interval pumping process of the time is larger than the average full-pumping motor power torque, the interval time of the next interval pumping is reduced; and if the average power torque in the process of the next interval pumping is larger than the average full-pumping motor power torque, increasing the interval time of the next interval pumping.
And finally, self-learning the theoretical interval pumping time, after the liquid level of the oil well is reduced, a certain time is needed for the liquid level to be recovered to a high level, and an initial interval pumping time, such as 2 hours, is given. And after 2 hours, opening the well and pumping oil, and recording the power torque of the motor, and comparing the power torque with the average full pumping motor power torque. If the motor power torque is higher than the average full pumping motor power torque, the liquid level exceeds the full pumping liquid level, the interval time of the next time pumping is reduced after the liquid level is pumped to empty pumping, and if the time is 1 hour and 30 minutes, the well is opened; if the motor power torque is lower than the average full pumping motor power torque, which indicates that the liquid level is not restored to the full pumping level, the next interval time is increased after the liquid is pumped to the empty pumping, for example, the well is opened after 2 hours and 30 minutes. The above steps are repeated continuously, and the corrected value is reduced, for example, the time is reduced from 30 minutes per increase and decrease to 15 minutes per increase and decrease or less until the measured motor power torque is equal to the average full pumping motor power torque, which indicates that the liquid level is restored to the full pumping level. Then this decimation interval time is considered as the theoretical decimation interval time.
In practical application, the high-speed pumping is performed firstly, namely the full pumping is performed for 150 minutes, then the low-speed pumping is performed for 60 minutes, then the low-speed pumping is performed for 150 minutes, the high-speed pumping is performed for 150 minutes, the power is recorded every 5 minutes, an oil well pressure change simulation data curve is fitted, and a more accurate value is obtained through multiple self-learning cycles.
[ example 3 ]
On the basis of the embodiment 2, as shown in fig. 1, in the second step, the method for controlling the operation of the motor 10 by the pumping unit intelligent controller 2 is that the pumping unit intelligent controller 2 supplies a current with an initial output frequency to the motor 10, and the current is supplied to the motor 10 to drag the motor 10 to operate. The pumping unit can only supply one current to the motor 10 by the controller 2, and the working frequency of the motor 10 is different according to different output frequencies of the current.
The specific current with the initial output frequency is modulated to generate SVPWM, and the SVPWM is inverted and output and then is transmitted to the motor 10 so as to drive the motor 10 to work.
The output frequency of the output current of the intelligent oil pumping machine controller 2 is adjusted once every 5 minutes. And sampling the output current once every 5 minutes, feeding the result back to the intelligent oil pumping machine controller 2, and changing the output frequency of the current.
In the third step, the motor power torque of the motor 10 is obtained by sampling the output current of the current after the inversion output by the input electrical parameter measuring module 1 to obtain an output current change signal, and calculating the motor power torque by using the output current change signal.
The input electric parameter measuring module 1 obtains an output current change signal by sampling the current after inversion output, and transmits the signal to the intelligent controller 2 of the pumping unit, and the intelligent controller 2 of the pumping unit obtains the power torque of the calculated motor.
The specific method for calculating the motor power torque 8 from the output current change signal is to obtain the torque current Iq and the exciting current Id according to the output current sampling 9, and obtain the motor power torque 8 through the vector-controlled Iq _ Id.
Specifically, according to the inherent electrical characteristics of the motor 10, the pumping unit intelligent controller 2 estimates stator resistance, inductance, mutual inductance, leakage inductance, and iron loss by using a vector control algorithm. And obtaining the motor power torque 8Tq according to the torque current Iq and the exciting current Id controlled by the vector. Tq = Iq × Id.
In the third step, the method for adjusting the motor 10 is that the pumping unit intelligent controller 2 adjusts the motor 10 by suppressing the output signal of the overvoltage stall unit 3 and superposing the output signal to the output frequency 4 and changing the output frequency 4 so as to change and control the pumping speed of the pumping unit.
The method for changing the output frequency 4 is that the intelligent controller 2 of the oil pumping unit changes the value of the output frequency 4 by suppressing the output signal of the overvoltage stall unit 3 and superposing the output signal on the output frequency 4, and finally achieves the purpose of adjusting the motor 10.
[ example 4 ]
On the basis of the embodiment 3, as shown in fig. 2, in the third step, the method for adjusting the output frequency 4 to change the operating frequency of the motor 10 by comparing the liquid level dynamic simulation model 7 generated by self-learning with the motor power torque 8 includes calculating a ratio of the current motor power torque 8 to the average full pumping motor power torque, where the ratio is a torque coefficient, when the torque coefficient is less than or equal to 1 and greater than 0.75, the operating frequency of the motor 10 is 55 hz to 40hz, when the torque coefficient is less than or equal to 0.75 and greater than 0.5, the operating frequency of the motor 10 is 39 hz to 30hz, and when the torque coefficient is less than or equal to 0.5 and greater than 0.3, the operating frequency of the motor 10 is 25 hz to 20 hz; when the torque coefficient is equal to or less than 0.3 and greater than 0, the operating frequency of the motor 10 is 0 hz.
The specific method for comparing the surface dynamic simulation model 7 with the motor power torque 8 is to firstly calculate the ratio of the motor power torque 8 to the average full pumping motor power torque, namely a torque coefficient. The concrete is shown in the following table,
| fuzzy subdivision | Rich in oil | In general | Oil-less | Dry extractor |
| Coefficient of moment | 1～0.75 | 0.74～0.5 | 0.49～0.3 | 0.29～0 |
| Corresponding to operating frequency | 55～40 | 39～30 | 25～20 | 0Hz |
When the torque coefficient is less than or equal to 1 and greater than 0.75, the operating frequency of the motor 10 is adjusted to be between 55 hz and 40 hz; in the interval, the torque coefficient and the running frequency are in a linear relation
When the torque coefficient is less than or equal to 0.75 and greater than 0.5, the operating frequency of the motor 10 is adjusted to be between 40hz and 30 hz; in this interval, the moment coefficient and the running frequency are in a linear relation.
When the torque coefficient is less than or equal to 0.5 and greater than 0.3, the operating frequency of the motor 10 is adjusted to be 25-20 hz; in this interval, the moment coefficient and the running frequency are in a linear relation.
And when the moment coefficient is less than or equal to 0.3 and greater than 0, the liquid level is considered to be low at the moment, the operating frequency of the motor 10 in the air pumping state is adjusted to 0hz, and the motor stops working, namely the fourth step.
[ example 5 ]
On the basis of the embodiment 4, as shown in fig. 1, an input electrical reference measurement module 1 is further used for collecting the current real-time voltage, current, grid frequency, power factor, active power, reactive power and accumulated active total electric energy parameters of the motor 10; the intelligent controller 2 of the pumping unit acquires the running frequency, the given frequency, the direct current voltage, the output current, the running rotating speed of the motor, the instantaneous power, the average torque, the output average power, the given stroke frequency, the running stroke frequency, the power factor of the motor, the running time value and the running state information; the data acquisition control unit 11 transmits the data acquired by the input parameter measurement module 1 and the pumping unit intelligent controller 2 to the wired/wireless data transmission unit module 12 and the touch display monitoring unit 13.
Data are collected through the input electric parameter measuring module 1 and the pumping unit intelligent controller 2, the collected data are transmitted to an upper computer through the wired/wireless data transmission unit module 12, and commands of the upper computer are received. And the operation parameters are displayed on the touch display monitoring unit 13 in real time, so that the operation of field operators is facilitated.
In conclusion, the real-time change condition of the motor power torque 8 is obtained according to the output current, so that the output rotating speed required in real time is obtained, the phenomena of air pumping and the like are avoided, a better energy-saving effect is realized, the balance of supply and production is achieved, the mechanical production efficiency is improved, and the energy consumption of the oil pumping unit in the oil production process is reduced.
The components and structures and processes of the present embodiments are well known in the art and are not described in detail herein.
Claims (10)
1. A pumping unit control method based on motor power torque is characterized by comprising the following steps:
firstly, establishing a liquid level dynamic simulation model;
secondly, the intelligent controller of the pumping unit controls the motor to operate;
thirdly, changing the pumping speed of the pumping unit to obtain the motor power torque of the motor (10), and adjusting the running frequency of the motor (10) by the intelligent pumping unit controller (2) according to the comparison between the surface dynamic simulation model and the motor power torque so as to change the pumping speed of the pumping unit;
fourthly, stopping the machine in a thinning mode,
when the power torque of the motor accords with the hollow pumping state of the liquid level dynamic simulation model, the intelligent controller (2) of the pumping unit controls the motor (10) to stop working;
and fifthly, restarting the intermittent pumping mode, starting pumping oil again after a period of time, and repeating the second step to the fourth step.
2. The motor power torque-based pumping unit control method according to claim 1, characterized in that: the method for establishing the liquid level dynamic simulation model comprises the steps that the intelligent pumping unit controller (2) self-learns the average full pumping motor power torque, the average idle pumping motor power torque and the theoretical interval time, and the liquid level dynamic simulation model is established according to the self-learned average full pumping motor power torque and the average idle pumping motor power torque.
3. The motor power torque-based pumping unit control method according to claim 2, characterized in that: the self-learning method of the intelligent controller (2) of the pumping unit comprises the following steps of 1), self-learning of full pumping torque, setting self-learning time in an intermittent pumping mode, enabling the pumping unit to run at a power frequency working frequency, and recording the power torque of a full pumping motor in the process to obtain average full pumping motor power torque;
2) self-learning the idle pumping torque, setting self-learning time in an intermittent pumping mode, enabling the pumping unit to operate at the lowest operating frequency of an intelligent pumping mode or the lowest frequency during intermittent pumping of the pumping unit, and recording the power torque of the idle pumping motor in the process to obtain the average power torque of the idle pumping motor;
3) and self-learning the theoretical interval time, setting the initial interval time in the interval mode, recording the average power torque in the interval process after working according to the initial interval time, comparing the average power torque with the average full pumping motor power torque, correcting the initial interval time, repeating the interval work until the obtained average power torque is the same as the average full pumping motor power torque, and determining the interval time as the theoretical interval time of the well.
4. The motor power torque-based pumping unit control method according to claim 3, characterized in that: the method for correcting the initial interval time is that if the average power torque in the interval process is larger than the average full-pumping motor power torque, the next interval time is reduced; and if the average power torque in the process of the next interval pumping is larger than the average full-pumping motor power torque, increasing the interval time of the next interval pumping.
5. The motor power torque-based pumping unit control method according to claim 1, characterized in that: in the second step, the method for controlling the motor (10) to operate by the intelligent pumping unit controller (2) is that the intelligent pumping unit controller (2) gives the motor (10) a current with an initial output frequency, and the current is transmitted to the motor (10) and then drags the motor (10) to operate.
6. The motor power torque-based pumping unit control method according to claim 1, characterized in that: in the third step, the motor power torque of the motor (10) is obtained by sampling the output current of the current after the inversion output by the input reference measurement module (1) so as to obtain an output current change signal, and calculating the motor power torque by using the output current change signal.
7. The motor power torque-based pumping unit control method of claim 6, wherein: the specific method for calculating the motor power torque by the output current change signal is that the torque current Iq and the exciting current Id are obtained according to the output current sampling, and the motor power torque is obtained through vector control Iq Id.
8. The motor power torque-based pumping unit control method according to claim 1, characterized in that: in the third step, the method for adjusting the motor (10) is that the pumping unit intelligent controller (2) changes the output frequency by inhibiting the output signal of the overvoltage stall unit (3) and superposing the output signal to the output frequency, so as to adjust the motor (10) to change and control the pumping speed of the pumping unit.
9. The motor power torque-based pumping unit control method according to claim 1, characterized in that: in the third step, the method for comparing the liquid level dynamic simulation model generated by the pumping unit intelligent controller (2) after self-learning with the motor power torque and adjusting the output frequency to change the running frequency of the motor (10) comprises the steps of calculating the ratio of the current motor power torque to the average full pumping motor power torque, wherein the ratio of the current motor power torque to the average full pumping motor power torque is a torque coefficient, when the torque coefficient is less than or equal to 1 and greater than 0.75, the running frequency of the motor (10) is 55-40hz, when the torque coefficient is less than or equal to 0.75 and greater than 0.5, the running frequency of the motor (10) is 39-30hz, and when the torque coefficient is less than or equal to 0.5 and greater than 0.3, the running frequency of the motor (10) is 25-20 hz; when the torque coefficient is less than or equal to 0.3 and greater than 0, the running frequency of the motor (10) is 0 hz.
10. The motor power torque-based pumping unit control method according to claim 1, characterized in that: the input electrical parameter measurement module (1) is also used for collecting the real-time voltage, current, power grid frequency, power factor, active power, reactive power and accumulated active total electric energy parameters of the current motor (10); the intelligent controller (2) of the pumping unit acquires the running frequency, the given frequency, the direct current voltage, the output current, the running rotating speed of the motor, the instantaneous power, the average torque, the output average power, the given stroke frequency, the running stroke frequency, the power factor of the motor, the running time value and the running state information; the data acquisition control unit (11) transmits the data acquired by the input electric parameter measurement module (1) and the pumping unit intelligent controller (2) to the wired/wireless data transmission unit module (12) and the touch display monitoring unit (13).
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