Wind-driven land-yacht robot mathematical modeling and verification
Author:
Chen Jiqing,Xie Shaorong,Luo Jun,Li Hengyu
Abstract
Purpose
– The purpose of this paper was to solve the shortage of carrying energy in probing robot and make full use of wind resources in the Antarctic expedition by designing a four-wheel land-yacht. Land-yacht is a new kind of mobile robot powered by the wind using a sail. The mathematical model and trajectory of the land-yacht are presented in this paper.
Design/methodology/approach
– The mechanism analysis method and experimental modeling method are used to establish a dual-input and dual-output mathematical model for the motion of land-yacht. First, the land-yacht’s model structure is obtained by using mechanism analysis. Then, the models of steering gear, servomotors and force of wing sail are analyzed and validated. Finally, the motion of land-yacht is simulated according to the mathematical model.
Findings
– The mathematical model is used to analyze linear motion and steering motion. Compared with the simulation results and the actual experimental tests, the feasibility and reliability of the proposed land-yacht modeling are verified. It can travel according to the given signal.
Practical implications
– This land-yacht can be used in the Antarctic, outer planet or for harsh environment exploration.
Originality/value
– A land-yacht is designed, and the contribution of this research is the development of a mathematical model for land-yacht robot. It provides a theoretical basis for analysis of the land-yacht’s motion.
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering
Reference27 articles.
1. Abd-El-Wahed, W.F.
,
Mousa, A.A.
and
El-Shorbagy, M.A.
(2011), “Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems”,
Journal of Computational and Applied Mathematics
, Vol. 235 No. 5, pp. 1446-1453. 2. Ahn, K.K.
and
Anh, H.P.H.
(2009), “Identification of the pneumatic artificial muscle manipulators by MGA-based nonlinear NARX fuzzy model”,
IFAC J Mechatron
, Vol. 19 No. 1, pp. 106-133. 3. Ai-hua, M.
,
Jia-ming, Z.
,
Cheng-long, L.
,
Wen-yi, C.
and
Fu-xing, L.
(2014), “Parameter identification of hysteretsis model for GMA based on improved PSO algorithm”,
Control Engineering of China
, Vol. 21 No. 5, pp. 735-739. 4. Anh, H.P.H.
(2010), “Online tuning scheduling MIMO neural PID control of the 2-axes pneumatic artificial muscle (PAM) robot arm”,
Expert Systems With Applications
, Vol. 37 No. 9, pp. 6547-6560. 5. Bingrui, L.
,
Weijia, Q.
,
Jingxue, G.
,
Yiwen, Z.
and
Jianhong, L.
(2009), “The experiment and application of intelligent robot techniques in the Antarctic expedition”,
Chinese Journal of Polar Research
, Vol. 21 No. 4, pp. 336-343.
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