PID Parameter Tuning of Self-propelled Antiaircraft Gun Servo System Based on Differential Evolution Algorithm

SUN Guoxuan;GONG Xinyu;SHI Yan;XIE Jipeng;LU Bin

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2021, Vol. 42 ›› Issue (5) : 903-912. DOI: 10.3969/j.issn.1000-1093.2021.05.002
Paper

PID Parameter Tuning of Self-propelled Antiaircraft Gun Servo System Based on Differential Evolution Algorithm

  • SUN Guoxuan1， GONG Xinyu2， SHI Yan1， XIE Jipeng1， LU Bin1
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Abstract

The traditional PID parameter tuning efficiency is low and the influence of factors such as force elements among components on the parameter tuning can not be considered. An electromechanical co-simulation model of servo system is established, and the PID parameters are tuned using intelligent optimization algorithm. A servo control system model considering the attitude disturbance of moving body is established, and an electromechanical joint simulation model of servo system is established by combining with the upper mounting virtual prototype. The method of real vehicle test is used to verify the correctness of the joint simulation model. On this basis, the integral of time multiplied by the absolute value of error is used as the optimization objective function, and the PID parameters are tuned using the differential evolution algorithm (DE), and compared with the original model control parameters and the genetic algorithm (GA) tuning parameters. The joint simulation results show that,compared with the original model control parameters, the RMS value and standard deviation of the axis of firepower control error are reduced by 24.06% and 25.20%, respectively, by using the PID parameters tuned by the differential evolution algorithm for simulation, and the convergence speed is faster than that of genetic algorithm. The modeling method and parameter tuning method are effective and feasible, and have theoretical reference value for the optimization of the control accuracy axis of firepower.

Key words

self-propelledantiaircraftgun / servosystem / jointsimulation / differentialevolutionalgorithm / PIDparametertuning

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SUN Guoxuan， GONG Xinyu， SHI Yan， XIE Jipeng， LU Bin. PID Parameter Tuning of Self-propelled Antiaircraft Gun Servo System Based on Differential Evolution Algorithm. Acta Armamentarii. 2021, 42(5): 903-912 https://doi.org/10.3969/j.issn.1000-1093.2021.05.002

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