CN111695258B - Electromagnetic relay dynamic characteristic simulation kinetic energy injection simulation method - Google Patents
Electromagnetic relay dynamic characteristic simulation kinetic energy injection simulation method Download PDFInfo
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- CN111695258B CN111695258B CN202010531559.2A CN202010531559A CN111695258B CN 111695258 B CN111695258 B CN 111695258B CN 202010531559 A CN202010531559 A CN 202010531559A CN 111695258 B CN111695258 B CN 111695258B
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Abstract
The invention discloses an electromagnetic relay dynamic characteristic simulation kinetic energy injection simulation method, which comprises the following steps: performing dynamic simulation in FLUX to obtain a time-dependent change curve of armature speed, rotation moment and rotation angle; obtaining a change curve of the rotation moment along with the angle through a change curve of the armature speed, the rotation moment and the rotation angle along with time; determining the time t, the armature angle and last of the previous step of the suction state; establishing a simulation model in Adams; writing a simulation script in Adams, calling data of the armature rotation speed along with time change to perform kinematic simulation before the time t, and calling data of the rotation moment along with angle change to perform kinematic simulation after the time t; performing post-treatment on Adams dynamic simulation, and extracting Fc, vd and Dd; the energy injection dynamic simulation ends. The invention improves the dynamic simulation speed of the electromagnetic relay and provides a simpler and faster method for the dynamic simulation of the electromagnetic relay.
Description
Technical Field
The invention relates to a dynamic simulation method, in particular to a method for realizing the simulation of the dynamic characteristics of an electromagnetic relay in Adams through energy injection.
Background
At present, the dynamic simulation method mainly carries out joint simulation on FLUX and Adams through MATLAB.
And carrying out joint simulation on the rotation moment and FLUX linkage data in the FLUX static simulation and the model of Adams based on a simulink module in MATLAB, wherein the FLUX linkage needs to be subjected to inverse interpolation, the joint simulation involves more data, errors can be generated in the data conversion process, the simulation time is long in the early-stage stable stage of simulation, and the efficiency is low.
In the existing joint simulation process, an electromagnetic static data table and flux linkage inverse interpolation are input into a Simulink, joint simulation data generated by Adams are loaded into the Simulink, namely, data of two software are exchanged from time to time, and dynamic simulation of a relay is completed.
Therefore, how to solve the above-mentioned problems, and to provide a method for implementing dynamic simulation by energy injection in Adams, it is the direction of research of those skilled in the art.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a simulation kinetic energy injection simulation method for electromagnetic relay dynamic characteristics. The method improves the time and speed of the dynamic simulation of the relay, and avoids errors caused by parameters such as flux linkage, voltage, inverse interpolation and the like in the joint simulation.
The invention aims at realizing the following technical scheme:
a simulation kinetic energy injection simulation method for electromagnetic relay dynamic characteristics comprises the following steps:
step S1: establishing a relay model in the FLUX, setting material properties, simulation parameters and the like, performing dynamic simulation, and obtaining a curve of armature speed change along with time, a curve of turning moment change along with time and a curve of turning angle change along with time through dynamic simulation;
step S2: obtaining a rotation moment change curve along with the angle through a speed change curve along with time, a rotation moment change curve along with time and a rotation angle change along with time in FLUX dynamic simulation;
step S3: determining time t and armature angle & last of the previous step of the suction state in data of FLUX dynamic simulation;
step S4: establishing a simulation model in Adams, and setting corresponding contact parameters and simulation parameters;
step S5: writing a simulation script in Adams, calling data of the armature rotation speed along with time change to perform kinematic simulation before the time t, and calling data of the rotation moment along with angle change to perform kinematic simulation after the time t;
step S6: carrying out post-processing on Adams dynamic simulation, and extracting bounce data such as contact force Fc between a movable reed and a movable and fixed reed, movable reed speed Vd, movable reed displacement Dd, movable and fixed reed speed Vd and movable and fixed reed displacement Dd;
step S7: the energy injection dynamic simulation ends.
Compared with the prior art, the invention has the following advantages:
the invention greatly improves the dynamic simulation speed of the electromagnetic relay and provides a simpler and faster simulation method for the dynamic simulation of the electromagnetic relay.
Drawings
FIG. 1 is a flow chart of dynamic simulation of kinetic energy injection in accordance with the present invention;
FIG. 2 is a graph showing the comparison of the actual measured contact voltage waveforms and the contact pressure waveforms of the movable reed and the movable and static reed in the process of attracting the relay by combining simulation and kinetic energy injection simulation;
fig. 3 is a graph of data comparison after normalization of the starting point.
Detailed Description
The following description of the present invention is provided with reference to the accompanying drawings, but is not limited to the following description, and any modifications or equivalent substitutions of the present invention should be included in the scope of the present invention without departing from the spirit and scope of the present invention.
The invention provides an electromagnetic relay dynamic characteristic simulation kinetic energy injection simulation method, as shown in figure 1, comprising the following steps:
step S1: and establishing a relay model in the FLUX, setting material properties, simulation parameters and the like, performing FLUX dynamic simulation, and obtaining a curve of speed change along with time, a curve of rotation moment change along with time and a curve of rotation angle change along with time through dynamic simulation.
Step S2: the change curve of the rotation moment along with the angle is obtained through the change curve of the speed along with the time, the change curve of the rotation moment along with the time and the change of the rotation angle along with the time in the FLUX dynamic simulation.
Step S3: and determining the time t and the armature angle & last of the previous step of the actuation state in the data of the FLUX dynamic simulation.
In this step, a reaction curve is obtained by actual measurement, and this data is provided to the FLUX for dynamic simulation.
Step S4: and establishing a simulation model in Adams, and setting corresponding contact parameters and simulation parameters.
In the step, the simulation time length is set by actually measuring the suction time, the simulation step length is required to ensure the detail of simulation data as much as possible, and the simulation time is not too long.
Step S5: and writing a simulation script in Adams, importing time-varying data of the armature rotation speed and angle-varying data of the rotation moment obtained by FLUX dynamic simulation, calling the time-varying data of the armature rotation speed to perform kinematic simulation before the time t, and calling the angle-varying data of the rotation moment to perform dynamic simulation after the time t.
In the step, before the previous time t of armature attraction, the spline function CUBSPL is utilized to call the data of the change of the armature rotation speed along with time, so that the armature starts to move from the initial position, and the kinematic simulation is carried out.
In the step, after the time t, the rotation angle of the armature is & last, and the spline function CUBSPL is utilized to call the data of the rotation moment changing along with the angle, so that the armature is attracted, and the dynamics simulation is carried out.
Step S6: and carrying out post-processing on Adams dynamic simulation, and extracting the contact force Fc, the movable reed speed Vd and the movable and static reed displacement Dd between the movable and static reeds, the movable and static reed speed Vd and the movable and static reed displacement Dd of bouncing data.
Step S7: the energy injection dynamic simulation ends.
As shown in FIG. 2, the invention is based on a CAD model, FLUX software is called to perform dynamic simulation, adams software is called to the CAD model and then performs contact setting, constraint setting and the like, and data obtained by FLUX dynamic simulation is added into Adams to perform dynamic simulation.
In summary, the method for realizing dynamic simulation in Adams through energy injection provided by the invention has a simulation result which is closer to the actual condition of the product, and provides a more effective and faster dynamic simulation method for the dynamic simulation of the electromagnetic relay in the future.
Examples:
taking a certain type of microminiature sealed direct current electromagnetic relay as an example, the dynamic characteristics of the attraction state of the relay are simulated by using a traditional Matlab-Adams joint simulation method and a kinetic energy injection simulation method respectively.
And comparing the contact pressure waveforms of the movable reed and the movable and static reed obtained by the combined simulation and the kinetic energy injection simulation by taking the actual measured contact voltage waveform as a reference, as shown in figures 2 and 3. As can be seen from comparative analysis, the kinetic energy injection simulation method has a result which is closer to the actual situation than the joint simulation method in both the suction time and the reed rebound situation.
Claims (3)
1. The electromagnetic relay dynamic characteristic simulation kinetic energy injection simulation method is characterized by comprising the following steps of:
step S1: establishing a relay model in an FLUX, setting material properties and simulation parameters, performing dynamic simulation, and obtaining a curve of speed change along with time, a curve of rotation moment change along with time and a curve of rotation angle change along with time through dynamic simulation;
step S2: obtaining a rotation moment change curve along with the angle through a speed change curve along with time, a rotation moment change curve along with time and a rotation angle change along with time in FLUX dynamic simulation;
step S3: determining time t and armature angle & last of the previous step of the suction state in data of FLUX dynamic simulation;
step S4: establishing a simulation model in Adams, and setting corresponding contact parameters and simulation parameters;
step S5: writing a simulation script in Adams, calling the time-dependent data of the armature rotation speed by using a spline function CUBSPL before the moment t of armature actuation, enabling the armature to start moving from an initial position to perform kinematic simulation, and calling the time-dependent data of the rotation moment by using the spline function CUBSPL after the moment t, enabling the armature to be actuated to perform the kinematic simulation, wherein the armature rotation angle is & last;
step S6: carrying out post-processing on Adams dynamic simulation, and extracting the contact force Fc, the movable reed speed Vd and the movable and static reed displacement Dd between the movable and static reeds, the movable and static reed speed Vd and the movable and static reed displacement Dd of bouncing data;
step S7: the energy injection dynamic simulation ends.
2. The simulation method for kinetic energy injection of electromagnetic relay dynamic characteristics according to claim 1, wherein in the step S3, a reaction curve is obtained through actual measurement, and the data is provided to the FLUX for dynamic simulation.
3. The simulation method for kinetic energy injection of electromagnetic relay dynamic characteristics according to claim 1, wherein in the step S4, the simulation duration is set according to the actual measurement suction time.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101571888A (en) * | 2009-06-17 | 2009-11-04 | 哈尔滨工业大学 | Simulation analytical method with combination of multi-finite element software for relay |
| WO2016188503A2 (en) * | 2015-05-22 | 2016-12-01 | 中国电力科学研究院 | Implementation method suitable for electromagnetic transient multi-time scale real-time simulation interface |
| CN106202794A (en) * | 2016-07-21 | 2016-12-07 | 哈尔滨工业大学 | Relay class unit output characteristics acquisition methods based on many finite element simulations |
| CN107679312A (en) * | 2017-09-27 | 2018-02-09 | 哈尔滨工业大学 | A kind of quick calculation method of the contactor dynamic characteristic based on radial basis function neural network |
| CN107766655A (en) * | 2017-10-23 | 2018-03-06 | 哈尔滨工业大学 | A kind of determination method of electromagnetic relay permanent magnetism storage degeneration characterization parameter |
-
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- 2020-06-11 CN CN202010531559.2A patent/CN111695258B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101571888A (en) * | 2009-06-17 | 2009-11-04 | 哈尔滨工业大学 | Simulation analytical method with combination of multi-finite element software for relay |
| WO2016188503A2 (en) * | 2015-05-22 | 2016-12-01 | 中国电力科学研究院 | Implementation method suitable for electromagnetic transient multi-time scale real-time simulation interface |
| CN106202794A (en) * | 2016-07-21 | 2016-12-07 | 哈尔滨工业大学 | Relay class unit output characteristics acquisition methods based on many finite element simulations |
| CN107679312A (en) * | 2017-09-27 | 2018-02-09 | 哈尔滨工业大学 | A kind of quick calculation method of the contactor dynamic characteristic based on radial basis function neural network |
| CN107766655A (en) * | 2017-10-23 | 2018-03-06 | 哈尔滨工业大学 | A kind of determination method of electromagnetic relay permanent magnetism storage degeneration characterization parameter |
Non-Patent Citations (2)
| Title |
|---|
| 基于虚拟样机技术的汽车电磁继电器静动态特性研究;郭继峰等;《电器与能效管理技术》(第20期);全文 * |
| 电磁继电器返回系数的仿真计算方法研究;王贝贝等;《电器与能效管理技术》(第10期);全文 * |
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