KR20110083982A - Method and apparatus for diagnosing operation performance of mobile robot - Google Patents

Method and apparatus for diagnosing operation performance of mobile robot Download PDF

Info

Publication number
KR20110083982A
KR20110083982A KR1020100003989A KR20100003989A KR20110083982A KR 20110083982 A KR20110083982 A KR 20110083982A KR 1020100003989 A KR1020100003989 A KR 1020100003989A KR 20100003989 A KR20100003989 A KR 20100003989A KR 20110083982 A KR20110083982 A KR 20110083982A
Authority
KR
South Korea
Prior art keywords
mobile robot
database
performance
sensor
relevance
Prior art date
Application number
KR1020100003989A
Other languages
Korean (ko)
Inventor
곽호성
권웅
노경식
Original Assignee
삼성전자주식회사
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 삼성전자주식회사 filed Critical 삼성전자주식회사
Priority to KR1020100003989A priority Critical patent/KR20110083982A/en
Publication of KR20110083982A publication Critical patent/KR20110083982A/en

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J13/00Controls for manipulators
    • B25J13/08Controls for manipulators by means of sensing devices, e.g. viewing or touching devices
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B62LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62DMOTOR VEHICLES; TRAILERS
    • B62D57/00Vehicles characterised by having other propulsion or other ground- engaging means than wheels or endless track, alone or in addition to wheels or endless track
    • B62D57/02Vehicles characterised by having other propulsion or other ground- engaging means than wheels or endless track, alone or in addition to wheels or endless track with ground-engaging propulsion means, e.g. walking members
    • B62D57/032Vehicles characterised by having other propulsion or other ground- engaging means than wheels or endless track, alone or in addition to wheels or endless track with ground-engaging propulsion means, e.g. walking members with alternately or sequentially lifted supporting base and legs; with alternately or sequentially lifted feet or skid
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S901/00Robots
    • Y10S901/01Mobile robot
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S901/00Robots
    • Y10S901/46Sensing device

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Human Computer Interaction (AREA)
  • Robotics (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Transportation (AREA)
  • Manipulator (AREA)

Abstract

PURPOSE: A diagnosis method of operation performance and a device are provided to inform a user of the performance degradation of the mobile robot by giving warning through a warning unit. CONSTITUTION: A diagnosis method of operation performance comprises the following steps. In the normal operating state, the mobile robot performs the standard operation which is set in advance. The first database is acquired based on the signal measured from one or more sensors(40,60). If the necessity of diagnosis of operation performance of the mobile robot is determined, the mobile robot accomplishes the standard operation which is set in advance and the second database is acquired based on the signal measured from one or more sensors. The operation performance of the mobile robot is diagnosed based on the relation between the signal of first and second databases.

Description

Method and Apparatus for Diagnosing Operational Performance of Mobile Robots {Method and Apparatus for Diagnosing Operation Performance of Mobile Robot}

The present invention relates to a method and apparatus for diagnosing the operating performance of a mobile robot, which notifies the necessity of mechanical or electrical management and maintenance by diagnosing the operating performance of a humanoid robot, particularly a biped or multi-legged robot, which can be moved similar to a human.

Recently, with the development of robot technology, humanoid robots that can operate similarly to humans have been widely used. In particular, in the case of a biped or multi-legged walking robot, detailed control of the robot is required in order to stably walk without falling.

However, the walking robot gradually changes from the original normal situation in the long term of several months by implementing periodic repeated walking motion. For example, the fastening parts of the drive parts such as screws, pins, washers, and belts are loosened, or the elastic rubber parts of the soles are worn, and the elastic modulus value at the time of impact or contact area with the floor and the optimum impedance control gain may be changed. Can be. In addition, if the battery voltage gradually decreases as the battery is discharged at a short time in several hours, the initial PID gain value of the motor may be different from the value required for accurate motor control.

As such, when the mechanical conditions and electrical parameters are changed in the long term / short term, the walking performance of the walking robot is degraded. Therefore, it is necessary to diagnose this and inform the user of the necessity of mechanical or electrical management and repair.

The present invention provides a method and apparatus for diagnosing the operating performance of a mobile robot, which indicates the necessity of mechanical or electrical management and maintenance by diagnosing the operating performance of a humanoid robot, particularly a biped or multiped robot, which can move similarly to a human.

To this end, the method for diagnosing the operating performance of a mobile robot according to one aspect of the present invention is a method for diagnosing a deterioration of the operating performance of a mobile robot in which at least one sensor is installed. When performing the preset reference operation, the first database is acquired based on signals measured from at least one sensor, and when it is determined that the diagnosis of the operating performance of the mobile robot is necessary, the mobile robot performs the preset reference operation, and at least A second database is obtained based on the signals measured from one or more sensors, and the operating performance of the mobile robot is diagnosed based on the relevance between the signals of the first database and the second database.

At this time, diagnosing the operation performance of the mobile robot based on the relationship between the signals of the first database and the second database may be determined that the operation performance of the mobile robot is reduced as the relationship is weak.

Further, the relevance may be obtained from correlation coefficients between signals of the first database and the second database, or from contribution values between the signals of the first database and the second database.

In addition, the method for diagnosing the operating performance of a mobile robot according to another aspect of the present invention, in the above method, the first database is a signal measured from at least one sensor when the mobile robot in a normal operating state performs a predetermined reference operation Further comprising the first ZMP information calculated using the second database, the second database is determined that the diagnosis of the operating performance of the mobile robot is necessary to use a signal measured from at least one sensor when the mobile robot performs a predetermined reference operation The method may further include calculating the second ZMP information, and further including advancing the operating performance of the mobile robot based on the relation between the ZMP information of the first database and the second database.

According to an aspect of the present invention, an apparatus for diagnosing operating performance of a mobile robot includes: a database acquisition unit capable of acquiring a signal measured from at least one sensor installed in the mobile robot; A sensor signal comparison unit capable of comparing relations between databases stored in the database unit; And an operation performance determination unit for diagnosing the operation performance of the mobile robot based on the degree of relevance obtained from the sensor signal comparison unit.

At this time, the operation performance determination unit determines that the first database acquired from the database and the operation performance of the mobile robot are required when the mobile robot in the normal operation state obtained from the sensor comparison unit performs the preset reference operation, and thus the mobile robot determines in advance. When performing the set reference operation, the operation performance of the mobile robot can be diagnosed based on the relevance between the signals of the second database acquired from the database. The weaker the relevance, the lower the relevance of the mobile robot. Can be.

In addition, the apparatus for diagnosing the operating performance of the mobile robot according to one aspect of the present invention may further include a display unit displaying data relating to a sensor that causes the operating performance determining unit to determine that the operating performance of the mobile robot is deteriorated. The operation performance determination unit may further include an alarm generation unit for generating an alarm when it is determined that the operation performance of the mobile robot is reduced.

By using the above method and apparatus, when the operation performance of the walking robot is degraded, the user can be easily informed of the need for mechanical or electrical management and maintenance.

1 is a diagram illustrating a mobile robot to which a method and apparatus for diagnosing operation of a mobile robot according to an embodiment of the present invention are applied.
2 is a control block diagram illustrating a schematic configuration of an apparatus for diagnosing operating performance of a mobile robot according to an embodiment of the present invention.
3 is a diagram schematically illustrating a coordinate system of a mobile robot to which a method and apparatus for diagnosing operation of a mobile robot according to an embodiment of the present invention are applied.
4 is a view showing the trajectory of the current and torque signal obtained from the database unit of the operating performance diagnostic apparatus of the mobile robot according to an embodiment of the present invention.
5 is a flowchart illustrating a process of acquiring a first database of a method and apparatus for diagnosing operating performance of a mobile robot according to one embodiment of the present invention.
6 is a flowchart illustrating a method of diagnosing operating performance of a mobile robot and a method of diagnosing operating performance of a mobile robot according to an embodiment of the present invention.

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

1 is a diagram illustrating a mobile robot to which a method and apparatus for diagnosing operation of a mobile robot according to an embodiment of the present invention are applied.

The mobile robot 1 shown in FIG. 1 is a humanoid robot having a human-like appearance, including a body part 2, a head part 4, an arm part 6, and a leg part 8. It is composed. As mentioned above, in the case of a biped robot such as the mobile robot 1 shown in FIG. 1, it is important to perform stable walking without falling down. Hereinafter, a mobile robot 1 corresponding to the biped walking robot illustrated in FIG. 1 will be described as an example of a method and apparatus for diagnosing operating performance, in particular, walking performance. Of course, it is apparent that the method and apparatus according to the present invention can be applied to various types of robots other than the biped and multipedal walking robots.

2 is a control block diagram illustrating a schematic configuration of an apparatus for diagnosing operating performance of a mobile robot according to an embodiment of the present invention.

In FIG. 2, the left side shows the mobile robot 1, and the right side shows the mobile robot operating performance diagnosis apparatus 20. The mobile robot 1 comprises a sensor unit 12 including at least one sensor installed in the mobile robot 1, a work planning module 14 for planning the operation of the mobile robot 1, and the mobile robot 1. It comprises a drive unit 16 for driving.

The mobile robot operation performance diagnosis apparatus 20 includes a database unit 22, a sensor signal comparison unit 24, an operation performance determination unit 26, a display unit 28, and an alarm generator 30. The database unit 22 serves to generate a database by measuring and storing signals measured by the sensor unit 12 of the mobile robot 1. The sensor signal comparison unit 24 compares the relations between the signals of the database stored in the database unit 22. The operation performance determination unit 26 plays a role of diagnosing the operation performance of the mobile robot 1 based on the relevance obtained from the sensor signal comparison unit 24. The display unit 28 serves to display the result after the operating performance determining unit 26 diagnoses the operating performance of the mobile robot 1. In other words, if it is determined that the traces of the signals measured from the sensors are deteriorated and the operating performance is deteriorated, the traces of the corresponding signals are separately displayed. In addition, the display unit 28 may further display the degree of relevance obtained from the sensor signal comparison unit 24. The alarm generating unit 30 plays a role of generating an alarm when the operating performance determining unit 26 determines that the operating performance of the mobile robot 1 is degraded. A detailed method for diagnosing the operating performance of the mobile robot 1 using the above configuration will be described in detail below.

When the mobile robot 1 corresponding to the biped walking robot performs a walking operation, it performs a periodic operation consisting of each phase of ground landing, holding and taking off of the foot of the leg 8. Also, in general, at least one or more sensors are mounted at each part of the mobile robot 1 to appropriately control the mobile robot 1 based on the signal measured from the sensor. At this time, by analyzing the pattern of the signal measured from the sensor, it is possible to determine what the walking performance of the mobile robot (1). The specific method is as follows.

As mentioned above, the database unit 22 in the mobile robot operation performance diagnosis apparatus 20 serves to generate a database by measuring and storing signals measured from the sensor unit 12 of the mobile robot 1. In order to diagnose the operating performance of the mobile robot 1, the mobile robot 1 in a normal operating state performs a preset reference operation, and at this time, the database unit 22 based on a signal measured from at least one sensor. Obtains a first database. The first database includes trajectory information according to each time of a signal measured from at least one sensor installed in the mobile robot 1. In this case, the normal operation state of the mobile robot 1 means a state that exhibits the best operating performance, that is, the best walking performance. In general, it refers to the state of the point in time after the mobile robot 1 is produced and before sale or immediately after being sold to the user. The preset reference operation may be variably designed according to the operation of the mobile robot 1 to be diagnosed. In general, when the walking performance of the mobile robot 1 is to be diagnosed, the walking motion corresponding to one cycle of the mobile robot 1, that is, when one foot of the mobile robot 1 lands, takes a different turn from the time of takeoff. Set the action between the sections to take off.

At least one sensor may be installed in the mobile robot 1, which may be an acceleration sensor, a six-axis force / torque sensor, a motor current sensor, or the like. When the mobile robot 1 in a normal operating state performs a preset reference motion, that is, a walking motion, the mobile robot 1 based on signals measured from sensors such as an acceleration sensor, a 6-axis force / torque sensor, and a motor current sensor installed in the robot at this time The first database, which is a criterion for diagnosis of the mobile robot 1, is obtained. The first database contains information of trajectories over time of the signals measured at each sensor. In addition, when using the 6-axis force / torque sensor, the first database may further include zero moment point (ZMP) information calculated based on the signal measured by the 6-axis force / torque sensor. As will be described later, the first database serves as reference information that is compared with a second database that is measured and obtained when it is determined that the diagnosis of the mobile robot 1 is necessary later. In addition, the first database may be obtained by selling the mobile robot 1 to the user and then allowing the user to perform the reference motion of the mobile robot 1 at an initial normal state. 1) may be performed as a reference operation, and then acquired in advance.

Once the first database has been acquired by the database acquisition unit 22, it is ready to diagnose the operating performance of the mobile robot 1. At this time, if it is determined that the user needs to diagnose the operating performance of the mobile robot 1 by manipulation of an operation panel (not shown) of the mobile robot 1 or the like by a command of a preset algorithm, the mobile robot 1 may advance in advance. The set reference operation, that is, the walking operation is performed. At this time, the database acquisition unit 22 obtains the second database based on signals measured from at least one sensor installed in the mobile robot 1 in the above manner. The second database includes trajectory information according to time of each signal measured from at least one sensor installed in the mobile robot 1 while starting the diagnosis of the mobile robot 1 and performing a preset reference operation. That is, the second database refers to a database obtained when a diagnosis request is requested by a user when it is suspected that operation performance is degraded while using the mobile robot 1. Of course, the second database may be obtained at the request of the user, but the second database may be obtained automatically when periodically or by reference operations are performed by a predetermined algorithm.

When the second database is obtained as described above, the degree of relevance between the signals is calculated by comparing with the first database. The reason for calculating the relevance is as follows. Since the first database contains information of each signal when the mobile robot 1 has the best walking performance, each of the signals of the second database including the information of the signals when performing the current diagnosis is included in the first database. It may be determined that the walking performance of the mobile robot 1 is close to the best performance as the signals are similar to each other, and the walking performance of the mobile robot 1 is deteriorated as it is similar.

In this case, a method of calculating the degree of correlation between the signals of the first database and the second database is as follows. In other words, the relevance index value is calculated to determine the relevance between the signals. First, a method of determining the degree of correlation using a correlation coefficient will be described. Using the correlation coefficient, the determination index W for determining the relevance can be defined as follows.

Figure pat00001

f 1 (t) means the time-dependent value of the signal measured from a particular sensor of the first database, and f 2 (t) means the time-dependent value of the signal measured from any particular sensor of the second database. do. The value of the judgment index W has a range between -1 and 1, and a value closer to -1 or 1 means that the two functions are more related. Based on the absolute value of the determination index W, the closer the absolute value of the determination index W to 1, the greater the relevance of the two functions. In other words, a large relation means that the trajectories of two functions are similar over time, and a weak relation means that the trajectories of two functions are not similar. As such, the correlation may be determined by calculating correlation coefficients from the trajectories of two signals measured from the same sensor. In this case, the determination of whether the absolute value of the determination index W is between 0 and 1 based on the value may be variably set according to the design specification. For example, if the absolute value of the determination index W is 0.7 or more, the relevance is large. Therefore, the mobile robot 1 can be judged to be in a normal operating state. If the absolute value of the determination index is less than 0.7, the relevance is small. It can be determined that the robot 1 is out of the normal operating state and the performance is degraded.

In addition, the degree of relevance may be determined using the contribution value. N time records X (1), X (2),… simultaneously measured from 0 to T seconds. , X (N), Y (1), Y (2),... , Fourier transforms X (1) f, X (2) f,... , X (N) f, Y (1) f, Y (2) f,... If we compute Y (N) f, the spectra of the two signals at frequency f are

Figure pat00002

Where E is the ensemble mean and * denotes the conjugate transpose operator. If the time T and the number N of samples are large, the above equation can be written as

Figure pat00003
Formula (a)

Here we define a vector of samples of each signal at frequency f,

Figure pat00004
This is called the spectral vector. Where the subscript T represents the transpose operator of the vector.

If the above expressions (a) are expressed as the inner product of the spectral vector

Figure pat00005
The contribution value is determined as

Figure pat00006

The value of the contribution will have a value between 0 and 1, the closer to 1, the more similar the two signals are. Like the correlation coefficient, the state of the mobile robot 1 can be diagnosed according to whether the value of the contribution is close to 0 or close to 1, and in particular, the value of the contribution is compared with an arbitrary setting value of the mobile robot 1. You can also diagnose the condition. The setting value can be appropriately selected to about 0.7 as described above. Diagnosing the performance of the mobile robot 1 using this degree of relevance will be described below by way of example.

3 is a diagram schematically illustrating a coordinate system of a mobile robot to which a method and apparatus for diagnosing operation of a mobile robot according to an embodiment of the present invention are applied. In FIG. 3, {B} represents the coordinate axis of the waist of the mobile robot 1, and {RF} and {LF} represent the coordinate axis of the foot or ankle of the mobile robot 1.

If the sensor is an acceleration sensor mounted near the {B} coordinate system representing the waist of the mobile robot 1 or near the {RF}, {LF} coordinate system corresponding to the foot in FIG. The trajectory of the signal stored in is the acceleration curve of the mobile robot 1 with time. The walking cycle is from the time the left foot takes off to the time the left foot takes off in the next step. The signal stored in the acceleration sensor may include acceleration, which may be caused by vibration of each fastening portion, in addition to the acceleration of gravity and movement. As described above, the smaller the absolute value of the determination index or the contribution using the correlation coefficient, the smaller the similarity between the acceleration curve stored in the first database, which is the reference database, and the acceleration curve stored during actual walking. In other words, it may mean that a mechanical problem occurs due to loosening of each fastening part of the driving part such as a belt and loosening. Therefore, if this value is smaller than the set value, the operation performance determining unit 26 determines that the walking performance of the mobile robot 1 is degraded due to mechanical problems. In this case, the display unit 28 may display the trajectories of the signal of the acceleration sensor and may also display a value of an index indicating the degree of relevance. In addition, the alarm generation unit 30 may notify the user that the performance of the mobile robot 1 is degraded by the alarm.

In addition, when the sensor is a six-axis force / torque sensor mounted near the {RF} {LF} coordinate system corresponding to the foot of the mobile robot 1 in FIG. 3, the trajectory of the signal stored in the database acquisition unit 22 is It becomes a curve of the force and torque detected by the foot of the mobile robot 1 with time. Each force curve stored in the reference first database is Fri (t), i = x, y, z, and the torque curve is Tri (t), i = x, y, z. The walking cycle is likewise from the time the left foot takes off to the time the left foot takes off in the next step. The force and torque signals from the six-axis force / torque sensor can have different values than those with the best walking performance, depending on mechanical and electrical problems that occur over the long term and in the short term. The smaller the absolute value of the judgment index or contribution of the correlation coefficient, the smaller the force stored in the first database, the torque curve, and the force stored during actual walking. Since the similarity to the torque curve is small, it may mean that a long-term, short-term mechanical problem occurs. For example, there may be a mechanical problem such that the elastic rubber portion of the sole is worn and the elastic modulus value at the time of impact or the contact area with the bottom, the impedance gain value initially set, and the like are different from the values required for the landing impact control. Therefore, when the determination value of the correlation coefficient or the absolute value of the contribution is smaller than the set value, the operation performance determination unit 26 determines that the walking performance is deteriorated due to such mechanical problems. In this case, the display unit 28 may display the trajectory of the signal of the 6-axis force / torque sensor, and may also display an index value indicating the degree of relevance. In addition, the alarm generation unit 30 may notify the user that the performance of the mobile robot 1 is degraded by the alarm.

In the case of using the 6-axis force / torque sensor, the above determination may also be performed using ZMP (Zero Moment Point) information calculated using the measured value. The ZMP information can be obtained using information such as the measurement result of the 6-axis force / torque sensor and the distance between the measuring point of the 6-axis force / torque sensor and the floor. When the mobile robot 1 walks unstable, it means that the ZMP information is incorrect. If it is determined that there is no abnormality in each hardware and sensor signal, and the mobile robot 1 walks unstable, it may be determined that the distance information between the measuring point and the floor of the 6-axis force / torque sensor that determines the ZMP information is incorrect. . In this case, when the ZMP signal information is compared and it is determined that the operating performance of the mobile robot 1 is deteriorated, the user may determine that the sole part of the mobile robot 1 is worn and replace the sole part.

That is, the type of display and alarm according to the result value of each sensor signal may be determined as follows. If the acceleration signal or the signal of the 6-axis force / torque sensor is small in relation to each signal of the first database, the fastening portion of the mobile robot 1 may be loosened or the assembly rigidity may be weakened, which may cause severe vibration. Informing can display and alarm. If the signal from the 6-axis force / torque sensor is small in relation to the signal from the first database, the shock absorbing degree is weakened at the time of landing, so that an indication and an alarm indicating foot pad replacement or retuning of impedance gain can be made. If the ZMP information is small in relation to the information of the first database, the wear of the sole portion of the mobile robot 1 may be severe, and thus an indication and an alarm indicating the sole pad replacement may be provided. In addition, if the joint servo control error of the mobile robot 1 is small in relation to the first database, an electric problem such as the optimum PID control gain may be changed due to battery discharge or the like, thus informing a request for changing the gain set value. Can display and alarm.

4 is a view showing the trajectory of the current and torque signal obtained from the database unit of the operating performance diagnostic apparatus of the mobile robot according to an embodiment of the present invention. 4 (a) is reference walking data of the mobile robot 1, that is, a current pattern stored in the first database, and (b) is a current pattern of walking motion when performing a current diagnosis. The scale of the current walking motion data is about 1/100 of the reference walking data, that is, the motion stored in the first database, and the pattern itself is also different. In other words, the above-described correlation coefficient W or the absolute value of the contribution of the correlation coefficient will show a large value close to 1, where the deterioration of the walking performance of the mobile robot 1 or the abnormality of the mechanism and the electric field of the mobile robot 1 Raise a warning message for. If the instrument operation and walking motion are operated without any abnormality and there is no abnormality for other sensors and desired data, it can be judged that there is an abnormality in current data writing only, From a maintenance standpoint, it is possible to anticipate damage to the controller firmware writing.

In addition, Figure 4 (c) is the required torque value and actual torque value of the six-axis force / torque sensor of the left leg ankle that is currently progressing at the time of diagnosis, (d) is the six axis of the right leg ankle The required torque value and actual torque value of the force / torque sensor. Comparing the two graphs, the torque value required by the 6-axis force / torque sensor in (d) is not well followed in the peak part, which is a large difference between the judgment index W of the correlation coefficient mentioned above. Make it appear. Accordingly, if there is an abnormality and there is no abnormality of other data, it is a problem of 6-axis force / torque sensor data writing, and other data also has a large value of the determination index W of the correlation coefficient. If there is an error, it can be judged that it is out of control or abnormal in the mechanical part. Since control is carried out except for the peak point, this can be judged as an abnormality of the 6-axis force / torque sensor mechanism.

In addition, if all sensor signals are unchanged and the absolute encoder (ABS) of a joint of the mobile robot (1) is weakly related to the existing signal and the performance is deteriorated, something is distorted or positioned between the absolute encoder and the motor. We can guess that is a little wrong. In other words, the user judges that the gear is slipped. More specifically, if the gear is a harmonic drive, the harmonic drive is judged to be twisted under a small load during the experiment. Can be judged to be wrong.

When an unspecified signal or noise occurs at the same time in the current sensor signal compared to the reference signal stored in the first database, it is determined as follows. If the signal is mixed in multiple and non-split, the controller is less likely to be simultaneously. Therefore, it can be judged by the friction sound caused by the looseness of the hardware. It can be determined that there is a problem in the power supply or communication line of the controller. In particular, when the signal of the power supply is turned off, it may be determined as a problem of the power supply, and when the signal of the power supply does not bounce, it may be determined as a communication problem.

If all the sensor signals are intact but only the current measurement signal of the motor is small, it can be determined as a controller failure. If only one controller has a low relevance to the reference signal of the first database, it is determined as a controller failure. If all controllers have a low relevance to the reference signal of the first database, there is little chance that all the controllers will fail. The current in the module is considered to be a problem with the current supply or the battery supplying the current.

Hereinafter, a method for diagnosing operating performance of a mobile robot by a method and a device for diagnosing operating performance of a mobile robot according to an embodiment of the present invention will be described with reference to FIGS. 5 and 6.

5 is a flowchart illustrating a process of acquiring a first database of a method and apparatus for diagnosing operating performance of a mobile robot according to one embodiment of the present invention. As mentioned earlier, the first database may be obtained by selling the mobile robot 1 to the user and then allowing the user to perform the reference motion on the mobile robot 1 at an initial normal state, but before moving to the user after production. The robot 1 may be performed as a reference operation and then acquired in advance. 5 shows a case where the first database is acquired in advance when using the latter method.

First, the mobile robot 1 in a steady state, which is produced and exhibits the best walking performance, is performed to perform a predetermined reference walking operation. (40) The mobile robot 1 performs the mobile robot 1 during the standard walking operation. Measuring the time-based trajectory of each signal measured from at least one sensor is installed (50), the database unit 20 is based on this based on the first database that is the basis of the determination of the walking performance of the mobile robot 1 A method of diagnosing walking performance of the mobile robot 1 will now be described with reference to FIG. 6.

6 is a flowchart illustrating a method of diagnosing operating performance of a mobile robot and a method of diagnosing operating performance of a mobile robot according to an embodiment of the present invention. First, it is determined whether there is an operation performance diagnosis command of the mobile robot 1 by a user or by a pre-designed algorithm. (100) When it is determined that there is an operation performance diagnosis command of the mobile robot 1, the mobile robot 1 is set in advance. When the mobile robot 1 performs a preset reference walking operation, it measures a trajectory of signals according to time measured from at least one sensor installed in the mobile robot 1; 104, the database acquisition unit 22 obtains a second database based on this.

The sensor signal comparator 24 compares the signals of the first database and the second database (108), and calculates the relevance of the signals using the correlation coefficient or the contribution (110). The value of the relevance determined by the index or the contribution value is compared with the set value. (112) When it is determined that the value of the relevance is smaller than the set value, it is determined that the operation performance of the mobile robot 1, that is, the walking performance is deteriorated. (114), the sensor data causing the cause is displayed on the display unit 28, and the alarm generating unit 30 generates an alarm. (116) If it is determined that the value of the degree of relevance is greater than the set value, the mobile robot 1 It is determined that the operating performance, that is, the walking performance is in a normal state (118), and each sensor data is displayed on the display unit 28.

By using the above method and device, it is possible to easily inform the user of the necessity of mechanical or electrical management and maintenance when the operation performance of the walking robot is degraded. Based on this information, the user can find and move the cause The robot 1 can be easily managed and repaired.

1: mobile robot 2: body
4: head part 6: arm part
8: leg 12: sensor
20: mobile robot operation performance diagnosis device
22: database acquisition unit 24: sensor signal comparison unit
26: operation performance determination unit 28: display unit
30: alarm generating unit

Claims (10)

In the method of diagnosing the operating performance of the mobile robot for diagnosing a decrease in the operating performance of the mobile robot is installed at least one sensor,
Obtaining a first database based on a signal measured from at least one sensor when the mobile robot in a normal operating state performs a preset reference operation;
If it is determined that a diagnosis of the operating performance of the mobile robot is necessary, the mobile robot performs the preset reference operation, obtains a second database based on signals measured from at least one or more sensors,
And a method of diagnosing operating performance of the mobile robot based on the degree of relevance between the signals of the first database and the second database.
The method of claim 1,
Diagnosing the operating performance of the mobile robot based on the degree of relevance between the signals of the first database and the second database,
The weaker the degree of relevance, the operation performance diagnosis method of the mobile robot determines that the operating performance of the mobile robot is reduced.
The method of claim 1,
And wherein said degree of association is obtained from a correlation coefficient between the signals of said first database and said second database.
The method of claim 1,
And said relevance is obtained from contribution values between respective signals of said first database and said second database.
The method of claim 1,
The first database further includes first ZMP information calculated using signals measured from at least one sensor when the mobile robot in a normal operating state performs a preset reference operation.
The second database further includes second ZMP information calculated using signals measured from at least one sensor when the mobile robot determines that a diagnosis of an operation performance of the mobile robot is required and the mobile robot performs a preset reference operation. and,
And diagnosing operating performance of the mobile robot based on the degree of association between the ZMP information of the first database and the second database.
A database acquisition unit configured to acquire a signal measured from at least one sensor installed in the mobile robot;
A sensor signal comparison unit capable of comparing the degree of relevance between the signals stored in the database acquisition unit; And
And an operation performance determination unit for diagnosing the operation performance of the mobile robot based on the degree of relevance obtained from the sensor signal comparison unit.
The method of claim 6,
The operation performance determining unit comprises: a first database acquired by the database obtaining unit when the mobile robot in a normal operating state obtained from the sensor comparing unit performs a preset reference operation;
The operation of the mobile robot is determined based on the degree of relevance between the signals of the second database acquired by the database acquisition unit when the mobile robot performs the preset reference operation because it is determined that a diagnosis of the operating performance of the mobile robot is required. Mobile performance diagnostic device for diagnosing performance.
The method of claim 6,
The operation performance determining unit determines the operation performance of the mobile robot is determined that the lower the relevance of the operation performance of the mobile robot.
The method of claim 6,
And a display unit for displaying data relating to a sensor which causes the mobile robot when the operating performance determiner determines that the operating performance of the mobile robot is deteriorated.
The method of claim 6,
And an alarm generating unit for generating an alarm when the operating performance determining unit determines that the operating performance of the mobile robot is degraded.
KR1020100003989A 2010-01-15 2010-01-15 Method and apparatus for diagnosing operation performance of mobile robot KR20110083982A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020100003989A KR20110083982A (en) 2010-01-15 2010-01-15 Method and apparatus for diagnosing operation performance of mobile robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020100003989A KR20110083982A (en) 2010-01-15 2010-01-15 Method and apparatus for diagnosing operation performance of mobile robot

Publications (1)

Publication Number Publication Date
KR20110083982A true KR20110083982A (en) 2011-07-21

Family

ID=44921424

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020100003989A KR20110083982A (en) 2010-01-15 2010-01-15 Method and apparatus for diagnosing operation performance of mobile robot

Country Status (1)

Country Link
KR (1) KR20110083982A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20210114166A (en) 2020-03-10 2021-09-23 주식회사 힐스엔지니어링 Robot Care System

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20210114166A (en) 2020-03-10 2021-09-23 주식회사 힐스엔지니어링 Robot Care System

Similar Documents

Publication Publication Date Title
CN107645980B (en) Method and device for controlling/adjusting a robot joint driven by an actuator
CN108983744B (en) Abnormality diagnosis apparatus and abnormality diagnosis method
JP2015203646A (en) Diagnosis method of machine tool and system thereof
US10928783B2 (en) Analysis device and analysis system for ranking predictor performance for determining acceptability of an object to be produced
JP6711854B2 (en) Failure prediction device and machine learning device
JP6571704B2 (en) Diagnostic data acquisition system, diagnostic system, and diagnostic data acquisition program
JP2006281421A (en) Robot and abnormality detection method of robot
JP2009012031A (en) Method of determining deterioration of pressurizing performance of spot welding gun
US11144032B2 (en) Time to failure analysis of robotic arm cabling
US10962957B2 (en) Collision position estimation device and machine learning device
JP2019139755A (en) Polishing tool wear loss prediction device, machine learning device and system
JP7332438B2 (en) diagnostic equipment
JP7425094B2 (en) diagnostic equipment
JPWO2020008587A1 (en) Numerical control device
KR20110083982A (en) Method and apparatus for diagnosing operation performance of mobile robot
JP2019148971A (en) Abnormality factor specifying apparatus
US20240139953A1 (en) Examination method for examining robot apparatus, control apparatus, and storage medium
JP2023548456A (en) Chassis wear prediction based on mechanical vibration data
JP7003751B2 (en) Battery diagnostic device and battery diagnostic method
JP6378249B2 (en) Numerical control device with machining time prediction function considering servo control and machine motion delay
WO2019186885A1 (en) Abnormality detection device and abnormality detection method
WO2023026411A1 (en) State determination device and state determination method
WO2023026416A1 (en) State determination device and state determination method
WO2023026419A1 (en) Control device and control method
JP2006221308A (en) Abnormality detection method, control apparatus, and control system using the same

Legal Events

Date Code Title Description
A201 Request for examination
E902 Notification of reason for refusal
AMND Amendment
E601 Decision to refuse application
AMND Amendment
X701 Decision to grant (after re-examination)