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A parameter tuning method of steering wheel force-sensing analog motor controller

A technology for simulating motor and parameter tuning, which is applied to electric controllers, controllers with specific characteristics, electrical testing/monitoring, etc. Effect

Active Publication Date: 2021-09-24
浙江天行健智能科技有限公司
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Problems solved by technology

[0003] In order to solve the above-mentioned technical problems, the main purpose of the present invention is to provide a parameter setting method for the steering wheel force-sensing simulation motor controller, so as to solve the parameter setting problem of the steering wheel force-sensing simulation system motor controller

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  • A parameter tuning method of steering wheel force-sensing analog motor controller

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Embodiment Construction

[0025] In order to better understand the present invention, the drawings in the embodiments will be described in conjunction with the drawings in the present invention, and the technical solutions in the embodiments will be clear and complete, apparent, as will be described, and the described embodiments are merely the present invention. Part of embodiments, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art will belong to the scope of the present invention.

[0026] First, please refer to figure 1 . According to the present invention, a steering wheel strength analog motor controller parameter tuning method is: embedding the motor PID controller into the steering wheel power induction motor control system; uses improved particle swarm optimization algorithm to optimize the motor PID controller parameters, and get the best Motor PID controller parameter combination; combination of opti...

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Abstract

The invention discloses a parameter setting method of a steering wheel force sense simulation motor controller. The main steps of the method are: embedding a motor PID controller into a steering wheel force sense simulation motor control system; using an improved particle swarm optimization algorithm to iteratively optimize the motor PID The controller parameters are used to obtain the best motor PID controller parameter combination; the best motor PID controller parameter combination is stored in the motor controller hardware, so that the PID controller can work offline. Compared with the prior art, the present invention proposes an improved particle swarm optimization algorithm, and by using the algorithm to tune the parameters of the motor PID controller, the parameter tuning problem of the motor controller of the steering wheel force-sensing simulation system is solved, and It has the advantages of simple principle, fast calculation speed and good robustness.

Description

Technical field [0001] The present invention relates to the field of automotive technology, and more particularly to a steering wheel motion analog motor controller parameter tuning method. Background technique [0002] With the rapid development of computer technology, virtual driving technology is playing an increasingly important role in smart driving. As an important part of the car steering system, the steering wheel is of great significance to the overall safety and comfort of the vehicle. In the virtual driving simulation process, the joining a steering wheel virtual system can make the virtual driving credibility, and virtual driving experiment data is more reliable. The virtual driving hardware system composed of the motor and the torsion bar has the advantages of simple structure, high controllability, however, in consideration of the complexity of the motor, the PID controller is embedded in the PID controller A control system that can be obtained quickly and effective...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02G05B11/42
CPCG05B11/42G05B23/02
Inventor 蔡锦康赵蕊邓伟文丁娟
Owner 浙江天行健智能科技有限公司
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