KR20180001427A - Flow control ventilation fan in accordance with the load variation - Google Patents

Abstract

The present invention relates to a ventilator which can be automatically controlled according to an external environment in which the ventilator is used as an internal air circulation device in industrial environment and living environment. A drive motor can be adaptively controlled even when load-inertia changes according to an introduced air flux of an air discharge system, and also various physical load variables generated during discharge of air can be applied in real time so that the drive motor rotating a fan of the ventilator can be optimally controlled without respect to an external factor. The ventilator of the present invention comprises: a frame; a drive motor; a first blade; a second blade; a detection module; and a control module.

Description

BACKGROUND OF THE INVENTION Field of the Invention [0001] The present invention relates to a fan control device,

The present invention relates to a ventilator which can be automatically controlled according to an external environment used as an internal air circulating device such as an industrial environment and a living environment. Even when load inertia is changed according to an inflow air flow rate of an air exhausting system, It is possible to control the driving motor which rotates the fan of the ventilator in an optimal state regardless of external factors by reflecting various physical load acting parameters generated during the air discharge automatically To a ventilator which can be controlled.

Generally, a building having a predetermined size or larger is provided with an air conditioning system for venting indoor air by discharging the indoor air to the outside. Such an air conditioning system can be used in a closed space such as a house, an outdoor toilet, a vinyl house, And a ventilator capable of discharging indoor air and harmful gas such as dust to the outside.

In this plant, the air pressure flowing into the plant is transferred by the fan motor. At this time, the performance of the control system is greatly influenced by the inertial load due to the fan motor and the disturbance.

Particularly, in the case of expanding the size of the fan to reduce the exhaust passage or increase the exhaust amount in order to prevent the inflow of the outside view inflow air due to the influence of the four seasons and wind, the exhaust effect becomes small due to the decrease of the air flow rate, The fluctuation of the inertia load due to the variation of the inertia load becomes greater, and the performance of the control system can not maintain the linearity.

In other words, not only the bandwidth but also the stability of the control system are affected by the relative force between the inertia of the fan motor and the inertial load viewed from the fan motor side. In general, the smaller the fan motor to inertia load ratio is, The larger the inertia ratio of the fan motor to the load, the smaller the control system bandwidth and the lower the stability.

As the bandwidth of the control system becomes smaller, the reactivity to the command decreases, the delay between the feed command and the follow-up increases, and the overshoot becomes larger as the stability becomes lower. Therefore, It is necessary to estimate the change amount of the load inertia due to the inertia load in real time.

In order to solve such a problem, a control apparatus and a control system for estimating inertia (Japanese Patent Laid-Open Publication No. 2010-148178), which is a patent application filed in Japan, discloses that an inertia estimation start signal is transmitted to a transmission shaft servo system sine torque command is sent, it is proposed that the inertia is calculated by detecting the current and acceleration data of the servo motor when vibration occurs in the inertia operated servo system by this torque command.

However, in the above-mentioned method, the inertia estimation start signal is generated every time the change load is applied, and a torque command is generated in the servo system. By using the method of measuring the friction of the drive shaft in advance and setting the parameter, The inertia estimation error is increased or the estimation is uncertain because the load of the load and the change of the friction characteristics of the rotary shaft due to the passage of time can not be realized in real time.

In addition, the 'Method for Determining the Mass Moment of an Inertia of an Electric Motor Drive System (US Patent 6,998,812)' filed a patent in Heidenhain, Germany, is a method of estimating the inertial load by transferring arbitrary space by changing the direction of the acting axis .

However, in the above-mentioned method, when the direction is switched, the ripple of the motor torque and the acceleration data, which may be caused by the connection portion of the rotary shaft, acts to lower the inertia load estimation performance, there was.

1. Open Patent Publication No. 10-2009-0109622 " Apparatus for measuring outside air flow rate and apparatus for controlling outside air flow rate " (filed on April 16, 2008) 2. Open Patent Publication No. 10-2000-0059532 'Ventilator Operation Controller' (Filing Date March 03, 1999) 3. Registration Utility Model No. 20-0331807 'Ventilator with dual rotary blades' (Registered on October 21, 2003) 4. Patent No. 10-1255738 entitled 'To Impeller Fan' (Registered on April 3, 2013)

The present invention has been proposed in order to solve the above-mentioned problems. It is an object of the present invention to provide a control method for an internal combustion engine, which can control not only the fluctuation amount of the inflow air load, but also the torque of the heavy- A fan motor that can be automatically controlled according to an external environment capable of controlling the fan motor in an optimum state regardless of the environment.

The ventilator, which can be automatically controlled according to the external environment of the present invention, includes a frame (100) having a receiving space (S) formed therein and having open upper and lower sides; A drive motor (200) located in the accommodation space (S), the drive motor (200) receiving power from the outside; A first blade 300 connected to the driving motor 200 to rotate and draw air to the upper side of the frame 100 by sucking air from the lower side of the frame 100; A second blade 400 located below the first blade 300 and rotated by the movement of air introduced into the lower end of the frame 100 when the first blade 300 rotates; A sensing module 500 coupled to the second blade 400 and measuring the number of revolutions of the second blade 400; A temperature sensor 610 for measuring the room temperature and a humidity sensor 620 for measuring the humidity of the room. The humidity sensor 620 measures the air volume of the air, which is received from the rotation value of the second blade 400 measured by the sensing module 500 And a control module (600) for controlling the rotation of the driving motor (200)

The control module 600 includes a disturbance measuring unit 610 installed at an upper end or a lower end of the frame 100 to measure a disturbance acting on the frame 100 during air suction of the frame 100 in real time. The measured value of the current applied to the driving motor 200, the measured value of the rotational angular velocity of the driving motor 200, and the estimated disturbance value measured by the disturbance measuring device 610 are inputted to the driving motor 200 An inertia calculator (620) for calculating an inertia load generated during operation; A parameter provider 630 that receives the calculated load inertia value from the inertia calculator 620 and controls the optimized rotation of the drive motor 200 to correspond to the inertia load measured in real time; A motor controller 640 that receives control parameters corresponding to the load inertia output from the inertia calculator 620 from the parameter provider 630 and controls the drive motor 200 using the input control parameters, ; An upper controller 650 for performing the calculation of the load inertia and the control algorithm of the motor controller 640 through the control parameters; And further comprising:

The parameter providing unit 630 of the present invention may further include a memory table created by indexes for each load inertia according to the torque applied to the driving motor 200 by the disturbance, The control parameter values stored in the memory table 631 are collected and applied to adjacent positions to provide a control parameter for linearly interpolating the control parameter values.

And the control parameter, the disturbance, and the inertial load are estimated by a value measured during normal exhaust operation by the drive motor (200).

The real-time flow controller according to the present invention can adaptively control the drive motor even when the inertial load changes according to the amount of external inflow air.

In addition, the real-time motor controller acting on the rotational speed can reflect the amount of change in the load inertia due to the inertial load generated during the operation of the load in real time so that the drive motor can be controlled in an optimum state regardless of the load acting on the motor .

1 is a perspective view showing an overall configuration of an automatic control ventilator according to the present invention;
BACKGROUND OF THE INVENTION Field of the Invention The present invention relates to an automatic control ventilator,
3 is a block diagram showing a real time flow controller according to the variation of the inflow air load of the present invention.
4A shows a memory table of a real time flow controller according to the external influx air load variation of the present invention.
4B illustrates interpolation using the moving average method of the real-time flow controller according to the variation of the inflow air load of the present invention.
5 is a block diagram showing a disturbance observer of a real time flow controller according to the variation of the inflow air load of the present invention.
6 is a diagram showing a real time flow controller inertial load estimation period according to the variation of the inflow air load of the present invention.
7 is a flow chart of the operation of the real time flow controller according to the variation of the inflow air load of the present invention.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

Referring to FIG. 1, the air volume control ventilator of the present invention has a frame 100. The frame 100 has a cylindrical shape and is hollow so that the accommodation space S is formed therein, and the upper and lower sides are opened. The frame 100 may be made of a synthetic resin and a metal material, and may be made of a different material depending on the place and environment where the frame 100 is installed. At this time, it is preferable that one side of the frame 100 is located in the indoor space and the other side is installed adjacent to the outdoor space.

1 and 2, a driving motor 200 is installed in the accommodation space S, and the driving motor 200 may be a DC motor that receives power from the outside, a DC thyristor variable motor, a single phase induction motor, a three-phase induction motor, and a brushless motor that can control a revolution per minute can do.

Referring to FIGS. 1 and 2, a first blade 300 connected to the driving motor 200 is provided. The first blade 300 is positioned on the upper side of the frame 100 and receives rotational force from the driving motor 200 to rotate. At this time, the first blade 300 rotates to suck air from the lower side of the frame 100, and then discharges the air sucked to the upper side of the frame 100. Thereby, air can be discharged to the outside of the room.

Referring to FIG. 2, a sensing module 500 connected to a second blade 400 and a second blade 400 located below the first blade 300 is provided, and the sensing module 500 includes a receiving space S , But it is preferably located on the lower side of the driving motor 200.

The second blade 400 is connected to the sensing module 500 and rotates to the sensing module 500 so that the first blade 300 can be rotated by the movement of the air flowing into the lower portion of the frame 100 Respectively. That is, the second blade 400 is coupled to the rotation shaft protruding to one side of the detection module 500 and is rotated.

At this time, the detection module 500 measures the rotational speed of the second blade 400 and converts the rotational speed of the second blade 400 into data. Since the amount of air sucked while the first blade 300 rotates is proportional to the number of rotations of the second blade 400, the amount of air discharged can be measured by analyzing the data measured by the sensing module 500 in real time.

The sensing module 500 may be a photosensor for more precisely measuring the number of rotations of the second blade 400 and may further include an amplifier for detecting a pulse signal of the optical sensor.

Meanwhile, the second blade 400 may be made of soft synthetic resin such as polyethylene, polystyrene, or the like. This is to prevent the risk of injury by inserting the user's finger or the like into the second blade 400 exposed to the room.

Referring to FIGS. 1 and 3, a control module 600 is provided outside the frame 100. The control module 600 includes a temperature sensor 610 for measuring the room temperature and a humidity sensor 620 for measuring the room humidity. The rotation speed of the second blade 400 is transmitted to the sensing module 500. The rotation speed of the second blade 400 is transmitted to the driving motor 200, The ON / OFF and rotation speed of the motor 200 can be controlled.

That is, the control module 600 measures the amount of air discharged from the rotation of the second blade 400 measured by the sensing module 500 and measures the amount of air discharged from the temperature sensor 601 and the humidity sensor 602 And the airflow discharged from the indoor space can be controlled by controlling the rotation of the driving motor 200 so that the value and the humidity value reach the respective set values set by the user.

Referring to FIG. 3, the flow rate control fan according to the load variation amount of the present invention stores the control parameters each measuring the inflow flow rate in the installation environment around the test, and the estimated environmental load corresponding to the flow rate supply corresponds to the inertia A disturbance observer for real-time estimating disturbance occurring during operation at a rated speed, and a load inertia calculator for calculating a torque of the operation load during operation as a control parameter and outputting it as a control parameter 140) a controller for receiving a control parameter from a control parameter provider and controlling the fan motor, and an upper controller for performing an algorithm.

A fan motor driving apparatus 130 (also referred to as a 'driving driver') such as IPM (Intelligent Power Modules) is provided between the motor controller 640 and the plant 10 to convert the PWM signal into an exciting current, (200).

The disturbance measuring device 610 real-time estimates the external disturbance generated at the exhaust port by the driving motor 200 and calculates the difference between the current value applied to the driving motor 200 from the sensor built in the fan motor and the current value of the driving motor 200 When the rotational angular velocity is measured, the inertia calculator 620 can calculate the load inertia generated by the load under conveyance using the disturbance, the current value, and the rotational angular velocity.

The control parameter 140 stored in the memory provides the control parameter corresponding to the calculated load inertia among the previously stored control parameters to the motor controller 640 so that the motor controller 640 can use the provided parameters So that the control system can be controlled under the control of the host controller 650.

Therefore, the present invention can calculate the load inertia by detecting disturbance, current, and acceleration data during an environment operation in which data acquisition is easy and sufficient time for data collection can be ensured since the acceleration / deceleration time constant is large. And adjusts the control parameters of the fan motor feed axis control system adaptively according to the calculated load inertia to enable optimum fan operation control irrespective of load fluctuation due to disturbance.

In this case, the load inertia due to the rapid acceleration means the speed error affecting the entire control system, which can be changed according to the change of the inertia load, so that the rapid acceleration transfer reference value can be variably set according to the inertia load.

Further, according to the present invention, since the servo data detected in real time during operation of the fan is used, when the reverse rotation occurs due to abrupt load fluctuation, the mechanical influence is removed, and disturbance data is taken into consideration. .

According to the present invention, since the control parameters for the unbalanced exhaust conditions are stored and provided in advance, the disturbance applied to the rotation axis of the drive motor 200 is reflected in real time without any additional adaptive signal processing The inertial load is calculated and an optimized control parameter corresponding to the calculated inertial load is selectively provided, thereby reducing the burden on the equipment operator.

More specifically, the packetizer 630 stores the control parameters for controlling the driving motor 200 optimized using the various data measured while transferring the test loads having different weights, respectively, The control parameters corresponding to the real-time estimated load inertia are calculated and provided.

The test load conditions are as follows. As the load acting on the inflow air such as injection air speed of 10m / ssec, 50m / sec, 100m / sec, 500m / sec and 1km / sec in the direction opposite to the direction of the exhaust air of the exhaust fan, The data may use the load action in a larger number of tests, and the load for the ambient influence test acquires and stores the control parameter value in advance to enable the inertial load to respond optimally.

The control parameters for each test load are stored in a memory table 630, as shown in FIG. 2A. The memory table included in the inactive memory stores indexes, inertia, control parameters, etc. And stores optimal control parameters, respectively, in tests with different conditions.

Speed loop control gain, acceleration / deceleration time constant, attenuation frequency of a resonance elimination filter, acceleration feedback gain, and acceleration feed forward are used as control parameters.

At this time, when the speed loop control gain is used, the control stiffness and responsiveness are improved according to the magnitude of the value, whereas when the gain is set too sensitively, the control loop becomes unstable.

Also, as the acceleration / deceleration time constant increases, the inertia shock introduced from the outside decreases, but the acceleration time increases.

In addition, the center frequency of the resonance elimination (damping) filter needs to be adjusted in order to adaptively adapt to the resonance frequency as the resonance frequency changes according to the rigidity of the inertia ratio between the drive motor 200 and the load.

The acceleration feedback gain is a parameter that electronically adjusts the inertia of the drive motor 200. The larger the value is, the more the problem occurs when the load inertia is larger than the fan motor inertia, but the acceleration time is increased and too large The control system becomes unstable.

Acceleration feed forward is a parameter for compensating the delay caused by load inertia. Acceleration / deceleration is accelerated as the value is increased. However, when the value is too large, impact due to load inertia may occur.

Therefore, various control parameters as described above are tested for each test load, and the optimal control parameters are measured and stored in advance.

On the other hand, when the estimated load inertia M is smaller than the minimum load inertia m ₀ ( _M ? _{M 0} ) in the pre-stored memory table 631, the memory table 631 is stored as the control parameter f _{M to} be provided. a group than stored for providing a control parameter (f ₀₎ corresponding to a minimum the inertia of the load (m ₀₎ and a load inertia (m) estimating the contrary the pre-stored in the memory table 631, the maximum load inertia (m _n) And provides the control parameter f _n corresponding to the maximum load inertia m _{n previously} stored in the memory table 631 as the control parameter f _{M to} be provided in the large case ( _M ? _{M 0} ).

That is, it is possible to appropriately cope with the case where there is no representative value in the memory table 631 by replacing the memory table 631 with the minimum value f _min or the maximum value f _{max of} the memory table 631 . This, even though replacing the values are out of range, such as the minimum (f _min) is less than or the maximum value (f _max) exceeds a minimum value (f _min) or maximum value (f _max) is because the fact is not significantly affect the control .

In addition, when it is necessary to provide a control parameter for a load that does not exceed the range of the memory table 631 but has a weight that does not correspond to the representative weight, as shown in FIG. 4B, Provide the parameters.

That is, a control parameter is provided by averaging the n control parameter values adjacent to each other among the control parameter values stored in the memory table 631. For example, when the load inertia of the actual load is Lm _{3 ,} Lm _{4 ,} Lm _{5 , ...} Lm _{n -1,} when Lm is determined by _n, each of the average value held _{(m 3, m 4, m} 5, ... m n-1, m n) this is calculated, the control parameter calculated using the formula below Lt; / RTI >

(2)

In this way, according to the present invention, environment adaptive control parameters optimized for the load test according to the outside air are stored in advance, and it is possible to provide appropriate control parameters for various loads.

Therefore, as described in more detail below, when the disturbance estimator 610 estimates the disturbance in real time, the inertia load is calculated using this and the various data, and the inertia load is calculated by using the data stored in the memory table 631 Parameters so that the operator does not have to perform explicit procedures to generate varying driving signals every time the load applied to the fan changes when the outside air is introduced due to environmental changes.

The disturbance measuring device 610 real-time estimates the disturbance as a force received from the outside during the adaptive operation to the load, including the operation torque during operation of the rotary shaft, and provides the load to the load calculator 620. As shown in FIG. 5, 623, a disturbance adder 622, an estimated disturbance adder 624, a rotational axis inertia model 625, a velocity sensor model 626, a velocity subtractor 627 and a compensator 628, Circuit.

In Fig. 5, K _t of the motor units 151 and 153 is a motor torque constant, and J _m is motor inertia, and these are shown in the specification of the drive motor 200 provided by the manufacturer of the drive motor 200. S is the Laplace operator.

In addition, the disturbance adder 622 is necessary for graphically expressing that disturbance applied from the outside affects the inertia model 623.

Further, the rotation axis inertia model 625 converts the torque command added with the estimated disturbance into a speed by referring to the fan motor model, and the compensator 628 adjusts the bandwidth as a correction parameter of the disturbance measurer 610, The estimated disturbance torque is estimated to be closer to the actual disturbance torque more quickly and more accurately, thereby making it possible to further increase the accuracy of the load inertia calculation.

Further, the speed sensor model 626 converts the deviation of the stall speed (v) and the estimated speed calculated by the speed subtractor 627 into a torque and provides it as an estimated disturbance. The estimated disturbance is the output of the disturbance measurer 610 and is, for example, the disturbance torque of the transfer axis, and the estimated disturbance is used in the inertia calculator 620 to calculate the load inertia.

The inertia calculator 620 receives the current applied to the drive motor 200, the rotational angular velocity of the drive motor 200, and the estimated disturbance value, calculates the inertia of the load being conveyed by the drive motor 200, And provides it to the provider 630.

Therefore, by providing control parameters corresponding to the load inertia in the distributor 630 to the motor controller 640, it is possible to control the drive motor 200 of the motor controller 640 in an optimal state according to the inertial load Let's do it.

The current applied to the drive motor 200 (precisely, the q-phase current: a current proportional to the motor torque) and the rotational angular velocity of the drive motor 200 are measured using various sensors built in the drive motor 200 And the estimated disturbance value uses the disturbance torque estimated by the disturbance measurer 610 and uses the following equation (1) of the load inertia calculation formula.

⇔

(1)

⇔

(Here, the K _t is a fan motor torque constant, the I _q is the q-phase current, the DTQR is disturbance, the α _m is a fan motor rotation angular acceleration applied to the fan motor, wherein ω _m is the fan motor rotational angular velocity, the J _m is the fan motor inertia, and J _L is the inertia load seen from the motor side)

It can be seen that any one of the rotational angular acceleration α _m and the fan motor rotational angular velocity ω _m can be used in a fan motor environment in which an external force acts because the left side is integrated in the above Equation 1. That is, when the angular acceleration is used, the expression on the left side is used, and when the acceleration is integrated, the expression on the right side can be used.

Meanwhile, the inertia load J _L in Equation (1) is the final target value to be calculated, and the other fan motor torque constants K _t and the fan motor inertia J _m are the fan drive motor constants provided by the manufacturer of the drive motor 200 The current I _q applied to the drive motor 200 and the rotational angular acceleration α _m or the rotational angular velocity ω _m are measured through a sensor built in the fan motor and then subjected to inertia Is the measurement provided to the calculator 620.

Therefore, in order to calculate the target load inertia J _L using the above formula (1), only the DTQR value as the disturbance torque can be obtained. Since this is provided by estimation by the disturbance measuring device 610, the inertia load can be calculated The inertial load thus calculated is output to the distributor 630.

The motor controller 640 receives control parameters corresponding to the load inertia calculated by the inertia calculator 620 from the distributor 630 and drives the fan motor drive device 130 according to the input control parameters And controls the motor 200.

Of course, various control state information including the magnitude of the current applied to the driving motor 200 from the rotational position sensor built in the driving motor 200, the rotational speed of the driving motor 200, .

The host controller 650 performs overall operations such as calculation of an inertial load and environment adaptive control of the motor controller 640 through calculation of control variables. At this time, the control algorithm used for the control as described above is applied to an application program And is stored in the memory 651.

The motor controller 640 controls the fan motor drive unit 640 to generate an optimum torque command by using the correction control parameter adapted to the external environment by the host controller 650 irrespective of the variation of the external inertia load, And controls the driving motor 200 by rotating the driving motor 130.

Hereinafter, the operation sequence of the real-time fan motor controller according to the load weight of the present invention constructed as described above will be described with reference to the accompanying drawings.

7 is a flowchart illustrating an operation of a real-time fan motor controller according to the load weight of the present invention.

However, in FIG. 7, the simulated inertial load stored in the memory table 631 of the distributor 630 requires a step of measuring and preliminarily storing the optimum control parameters according to the test, Described above.

As shown in Fig. 7, first, the random load environment, that is, the inertia load L is started in the fan drive system (S101).

When the operation is started, the bandwidth of the compensator 158 provided in the disturbance measuring device 610 is adjusted (S102). The adjustment of the parameter constant of the compensator 158 is to change the bandwidth as described above.

When the parameters of the disturbance measuring device 610 are adjusted, whether or not the rotational axis of the drive motor 200 is in the transient state operation is monitored (S103). Transient operation is affected by the inertial load, so operation is abnormal and may vary depending on the amount of inertial load variation.

At this time, if the vehicle is not in the transient state, the vehicle continues to monitor until it enters the transient state driving section. If the vehicle is in the transient state, it is monitored whether the vehicle is in the equivalent speed region (S104).

During monitoring, transient operation, and in the case of an equivalent speed section, data for calculation of load inertia is collected (S105). The values required for calculating the inertia load include the feed axis motor current, the feed axis motor angular acceleration, and the disturbance torque due to the external incoming air, and these values are stored as an average value over the entire equivalent velocity section.

On the other hand, if it is not an equal speed section, it is monitored whether it is a constant speed section (S106). If it is not a constant speed section, it is continuously monitored whether it is an equivalent speed section. (S107) is calculated as an average value from the disturbance torque change amount.

In the constant speed section, since the load inertia does not act because the speed is constant, only disturbance torque and servo data necessary for load calculation are collected in the acceleration section.

When the average value of the values collected in the equivalent speed section is calculated, the inertia calculator 620 calculates the load inertia (S108) by substituting the averaged disturbance torque, the current, and the rotational angular acceleration and the like into the expression (1) To the providing unit 630.

Then, the distributor 630 calculates a control parameter corresponding to the calculated load inertia. However, when the load inertia value not stored in the memory table 631 is calculated, an appropriate control parameter is calculated using the moving average method.

Subsequently, it is monitored whether the rotation axis of the drive motor 200 is stopped (S110). If it is stopped, the control parameter of the motor controller 640 is corrected (S111) by the control parameter calculated as described above, (S112), thereby ending the control process.

After this process is finished, optimal control of the fan control system is made by the control parameters and the motor controller 640, which are adjusted to adapt to the change in the external air inflow.

The real-time flow controller according to the present invention can adaptively control the fan motor even when the inertial load changes according to the amount of external inflow air.

In addition, the real-time fan motor controller acting on the rotational speed can reflect the change in the load inertia due to the inertia load generated during the operation of the load in real time so that the fan motor can be controlled in an optimum state regardless of the load do.

100: frame 200: drive motor
300: first frame 400: second blade
500: detection module 600: control module
610: Disturbance Meter 620: Inertia Calculator
630: Parameter provider 640: Motor controller
650: host controller 651: application program memory
12: Work table L: Load (material)

Claims (3)

A frame (100) having a receiving space (S) formed therein and having upper and lower sides opened;
A drive motor (200) located in the accommodation space (S), the drive motor (200) receiving power from the outside;
A first blade 300 connected to the driving motor 200 to rotate and draw air to the upper side of the frame 100 by sucking air from the lower side of the frame 100;
A second blade 400 located below the first blade 300 and rotated by the movement of air introduced into the lower end of the frame 100 when the first blade 300 rotates;
A sensing module 500 coupled to the second blade 400 and measuring the number of revolutions of the second blade 400;
A temperature sensor 610 for measuring the room temperature and a humidity sensor 620 for measuring the humidity of the room. The humidity sensor 620 measures the air volume of the air, which is received from the rotation value of the second blade 400 measured by the sensing module 500 And a control module (600) for controlling the rotation of the driving motor (200)
The control module 600 includes a disturbance measuring unit 610 installed at an upper end or a lower end of the frame 100 to measure a disturbance acting on the frame 100 during air suction of the frame 100 in real time.
The measured value of the current applied to the driving motor 200, the measured value of the rotational angular velocity of the driving motor 200, and the estimated disturbance value measured by the disturbance measuring device 610 are inputted to the driving motor 200 An inertia calculator (620) for calculating an inertia load generated during operation;
A parameter provider 630 that receives the calculated load inertia value from the inertia calculator 620 and controls the optimized rotation of the drive motor 200 to correspond to the inertia load measured in real time;
A motor controller 640 that receives control parameters corresponding to the load inertia output from the inertia calculator 620 from the parameter provider 630 and controls the drive motor 200 using the input control parameters, ;
An upper controller 650 for performing the calculation of the load inertia and the control algorithm of the motor controller 640 through the control parameters; Wherein the air conditioner is capable of being automatically controlled according to an external environment.
The method according to claim 1,
The parameter provider 630,
The tested control parameters are stored in a memory table 631 formed by indexes for each load inertia according to the torque applied to the driving motor 200 by each disturbance, Wherein the control parameter values obtained by collecting the average values of the predetermined control parameters are provided to adjacent positions to provide control parameters for linearly interpolating the control parameter values.
The method according to any one of claims 1 to 3,
Wherein the control parameter, the disturbance, and the inertial load are estimated by a value measured during a normal exhaust operation by the drive motor (200), wherein the load is automatically controlled according to an external environment.

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