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Multidisciplinary co-simulation and design optimization method for electromechanical servo system based on surrogate model

A technology of electromechanical servo system and proxy model, which is applied in the general control system, control/regulation system, instrument, etc., can solve the problems of not being able to take into account the nonlinear characteristics of key parameters, accurately describe the time-consuming multi-disciplinary joint simulation, and improve the accuracy , the effect of improving computational efficiency

Active Publication Date: 2021-10-01
BEIJING RES INST OF PRECISE MECHATRONICS CONTROLS +1
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Problems solved by technology

[0003] The technical problem solved by the present invention is: to overcome the deficiencies of the prior art, to provide a multi-disciplinary co-simulation and design optimization method for the electromechanical servo system based on the proxy model, and to solve the problem that the existing electromechanical servo system simulation technology cannot take into account the non-linearity of key parameters Excessive time-consuming problem of accurate description of characteristics and multi-disciplinary co-simulation

Method used

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  • Multidisciplinary co-simulation and design optimization method for electromechanical servo system based on surrogate model
  • Multidisciplinary co-simulation and design optimization method for electromechanical servo system based on surrogate model
  • Multidisciplinary co-simulation and design optimization method for electromechanical servo system based on surrogate model

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Embodiment 1

[0049] Take the simulation of direct-drive electromechanical servo system as an example, in which the load is an air rudder, the motor is a three-phase permanent magnet synchronous motor, the transmission mechanism is a planetary ball screw, the controller is a three-loop control, and the position loop adopts a segmented PID control strategy , the speed loop adopts PI control, and the current loop adopts PI control; the command signal of the electromechanical servo system includes a transient characteristic command, a position characteristic command and a frequency characteristic command.

[0050] (1) According to the definition and index requirements of the dynamic characteristics of the electromechanical servo system, select the objective function of the co-simulation of the electromechanical servo system and determine the constraints of the dynamic characteristics. The objective function and constraints can be transformed into the following mathematical model

[0051]

[...

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Abstract

The invention discloses a multi-disciplinary co-simulation and design optimization method for an electromechanical servo system based on an agent model. Optimized objective function and constraint conditions; (2) Establish load object model, motor model, transmission mechanism model and control driver model to form a high-precision dynamic characteristic simulation model of electromechanical servo system; (3) Choose from the above models is still not enough The determined or interested parameters are the design variables for dynamic characteristic performance optimization, given the design space, constructing the proxy model of the dynamic characteristics of the electromechanical servo system; (4) Searching the design space for the proxy model until the optimal dynamic performance index is obtained. Excellent solution. The invention solves the problem that the dynamic characteristic simulation model of the system-level electromechanical servo system cannot accurately represent the nonlinearity of key parameters.

Description

technical field [0001] The invention belongs to the technical field of multidisciplinary joint simulation of electromechanical servo systems, in particular to a method for multidisciplinary joint simulation and design optimization of electromechanical servo systems based on agent models. Background technique [0002] The dynamic characteristic analysis of the electromechanical servo system is a multi-disciplinary complex coupling analysis problem involving machinery, energy management, electromagnetics, power electronics and control. It is difficult to express product performance indicators through parameter analysis, and it is difficult to divide them from space and time to form a definite Design boundaries and constraints, so that the existing design process can only optimize product performance through repeated iterations of design parameters. Mature 3D analysis software has created the prosperity of "simulation-driven design". Using a variety of professional 3D analysis ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 蒋孟龙安林雪于志远朱阳贞黄玉平
Owner BEIJING RES INST OF PRECISE MECHATRONICS CONTROLS
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