Motion Control Performance Analysis of Nose Cone of Variant Aircraft

被引：0
|
作者：
Tian J. [1 ]
Zhang Y. [2 ]
Yin D. [1 ]
Gu Y. [1 ]
Yan S. [2 ]
机构：
[1] School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing
[2] Department of Mechanical Engineering, Tsinghua University, Beijing
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2024年 / 44卷 / 02期
关键词：
control performance; control strategy; kinematics performance; morphing nosecone mechanism;
D O I：
10.16450/j.cnki.issn.1004-6801.2024.02.020
中图分类号：
学科分类号：
摘要：
Currently, a diverse array of design schemes for morphing nosecone mechanism exists; however, research on control strategies for variant head cones is lacking. A 2(3RSH/3RRR) morphing nosecone mechanism is proposed to improve the motion performance of the head-cone of the variant aircraft under external load conditions, and the position analysis and kinematic characteristic analysis are carried out. The block diagram of the morphing nosecone mechanism is constructed using the Simulink/SimMechanics toolbox, and the fuzzy PID control system and BP neural network PID control system are established. The control performance of conventional PID, fuzzy PID and neural network PID is compared under two distinct external environments: no-load and random variable load. The simulation is configured with two expected trajectory types-step and sine to assess performance. The experimental results show that the adaptability and robustness of intelligent control are far better than that of conventional PID. Among them, fuzzy PID control has the best control performance for morphing nosecone mechanism and can meet the control requirements under different working conditions. © 2024 Nanjing University of Aeronautics an Astronautics. All rights reserved.
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页码：345 / 352
页数：7
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