A New Gantry-Tau-Based Mechanism Using Spherical Wrist and Model Predictive Control-Based Motion Cueing Algorithm

被引:27
作者
Qazani, Mohammad Reza Chalak [1 ]
Asadi, Houshyar [1 ]
Nahavandi, Saeid [1 ]
机构
[1] Deakin Univ, Inst Intelligent Syst Res & Innovat, Waurn Ponds Campus, Geelong, Vic 3217, Australia
关键词
Simulation-based motion platform; High-G Gantry-Tau-3R manipulator; PID controller; FIC; Linear Model Predictive-based Motion Cueing Algorithm; PARALLEL; OPTIMIZATION; ERROR;
D O I
10.1017/S0263574719001516
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The 3 degree-of-freedom Gantry-Tau manipulator with the addition of the spherical wrist mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion platform (SBMP) with the capability of generating the large linear and angular displacement. The combination of both parallel and serial manipulator in newly designed Gantry-Tau-3R mechanism improves the ability of the mechanism to regenerate larger motion signals with higher linear acceleration and angular velocity. The high-frequency signals are reproduced using the parallel part of the mechanism, and sustainable low-frequency accelerations are regenerated via the serial part due to the larger rotational motion capability, which will be used through motion cueing algorithm tilt coordination channel. The proportional integral derivative (PID) and fuzzy incremental controller (FIC) are developed for the proposed mechanism to show the high path tracking performance as a motion platform. FIC reduces the motion tracking error of the newly designed Gantry-Tau-3R and increases the motion fidelity for the users of the proposed SBMP. The proposed method is implemented using Matlab/Simulink software. Finally, the results demonstrate the accurate motion signal generation using linear model predictive motion cues with a fuzzy controller, which is not possible using the common parallel and serial manipulators.
引用
收藏
页码:1359 / 1380
页数:22
相关论文
共 78 条
[1]  
Allerton D., 2009, PRINCIPLES FLIGHT SI
[2]   Soft Robotics Commercialization: Jamming Grippers from Research to Product [J].
Amend, John ;
Cheng, Nadia ;
Fakhouri, Sami ;
Culley, Bill .
SOFT ROBOTICS, 2016, 3 (04) :213-222
[3]  
Amiri MJ, 2017, J ENVIRON ENG, V143, DOI [10.1061/(ASCE)EE.1943-7870.0001257, 10.1061/(asce)ee.1943-7870.0001257]
[4]  
[Anonymous], 4 INT C COMP AUT ENG
[5]  
[Anonymous], 2019, 20 IEEE INT C IND TE
[6]  
[Anonymous], 1990, PPSN
[7]  
Asadi H., 2015, P DRIV SIMUL C EXH, P1
[8]  
Asadi H., 2011, International Conference on Information and Intelligent Computing, V18, P89
[9]   Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter [J].
Asadi, Houshyar ;
Lim, Chee Peng ;
Mohamed, Shady ;
Nahavandi, Darius ;
Nahavandi, Saeid .
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2019, 4 (02) :298-308
[10]   Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm [J].
Asadi, Houshyar ;
Mohamed, Shady ;
Lim, Chee Peng ;
Nahavandi, Saeid .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (02) :238-254