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

doi:10.3969/j.issn.1000-1093.2021.05.002

Abstract

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

CLC Number:

TJ303⁺.8

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[J]. Acta Armamentarii, 2021, 42(5): 903-912.

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