Investigation into pilot control model base on ANFIS for teleoperation rendezvous and docking

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI:10.1109/IMCEC.2016.7867553

Yakun Zhang, Haiyang Li, Ruixue Huang

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引用次数: 1

Abstract

Handling qualities evaluation based on experimental investigation for system design and pilot behavior modeling may encounter bottlenecks for its inefficient and cost-consuming. To study the handling quality of teleoperation rendezvous and docking (RVD), a human model to describe the pilot control character during the final phase of teleoperation RVD is proposed in this paper. Twelve astronauts were chosen to conduct the teleoperation RVD experiments with different preliminary conditions. The pilot control model is built based on the adaptive neural fuzzy interface system (ANFIS) using the real experiment data to train and check. Validation experiment was conducted on the nine-degrees-of-freedom (9-DOF) teleoperation rendezvous and docking simulator (TRVDS) to check whether it can be used in fully numerical simulation. Simulation results indicate the pilot control model base on ANFIS can effectively emulate the pilot manual operation. Besides, the procedure of pilot control model could provide the designer a mean to preliminarily develop teleoperation RVD control system.

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基于ANFIS的遥控交会对接先导控制模型研究

在系统设计和飞行员行为建模中，基于实验调查的处理质量评估由于效率低、成本高而遇到瓶颈。为了研究遥操作交会对接(RVD)的操纵质量，提出了一个描述遥操作交会对接最后阶段飞行员控制特性的人体模型。选择12名宇航员在不同的初始条件下进行遥操作RVD实验。基于自适应神经模糊接口系统(ANFIS)，利用实际实验数据进行训练和检验，建立了先导控制模型。在九自由度遥操作交会对接模拟器(TRVDS)上进行验证实验，验证其是否能够完全用于数值模拟。仿真结果表明，基于ANFIS的飞行员控制模型能够有效地模拟飞行员的手动操作。此外，先导控制模型的建立为设计人员初步开发遥控遥控系统提供了手段。

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2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

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