著者

中川 健人 権 裕煥 本仲 君子 三好 誠司

出版者

公益社団法人 計測自動制御学会

雑誌

計測自動制御学会論文集 (ISSN:04534654)

巻号頁・発行日

vol.56, no.1, pp.31-36, 2020 (Released:2020-02-01)

参考文献数

12

被引用文献数

1

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In this paper, we assume a situation that multiple quadrotors are flying autonomously in the same space for the purpose of aerial photographing, surveillance, home delivery and so on. In such a situation, an algorithm to avoid mutual collision is needed. D. Zhou et al. proposed an algorithm based on the buffered Voronoi cells (BVC) to reach each target position without mutual collision when the multiple quadrotors fly and confirmed its operation by some simulations. In this research, we verified the performance of the method by numerical simulations using MATLAB. In addition, we confirmed the algorithm by dynamic simulations with four quadrotors using the dynamic simulator V-REP.

著者

本仲 君子

出版者

岡山大学

巻号頁・発行日

2015

著者

本仲 君子 渡辺 桂吾 前山 祥一

出版者

一般社団法人 日本機械学会

雑誌

日本機械学会論文集 (ISSN:21879761)

巻号頁・発行日

vol.81, no.825, pp.14-00631-14-00631, 2015 (Released:2015-05-25)

参考文献数

11

被引用文献数

1 2

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Recently, it is expected to develop an autonomous robot working in a living environment. Motion planning is very important for an autonomous mobile robot, but kinematic constraints and dynamic constraints are generally solved separately in conventional motion planning. In this research, a simpler way of deciding the control input for an autonomous mobile robot, which is described by a highly nonlinear model in a multi-dimensional space, is proposed by solving kinematic constraints and dynamic constraints simultaneously, under the kinodynamic motion planning based on a harmonic potential field (HPF). In this paper, a quadrotor that is very attractive as an aerial robot due to its high maneuverability, is assumed to be a controlled object, and it is aimed at guiding the quadrotor to an arbitrary target point while avoiding obstacles. Then, three types of controllers for kinodynamic motion planning based on an HPF, which were developed for point mass control, are extended to be applied to the quadrotor. The extended controllers are compared each other in trajectory, amplitude of attitude, and arrival time through some flight simulations. Moreover, multiple gains included in the proposed controllers are optimized automatically by using genetic algorithm (GA), in order to realize highly accurate control. Flight simulation in an untrained environment, which is different from the environment that the gains were selected by GA, is also conducted, and it is confirmed that the quadrotor can move onto the target point with the same gains while avoiding obstacles.