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Avoiding Local Minima for Path Planning Quadrotor Based on Modified Potential Field

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The study aims to present potential field algorithm for quadrotor path planning in an unknown area. There are several problems found in quadrotor path planning including how to reach the goal position quickly, avoid static obstacles and loca minima. To overcome the problem, a modified potential force algorithm was used. Potential field algorithm is an algorithm consisting an attractive force to move the quadrotor to the goal position and repulsive force to avoid obstacles in the area. There are some obstacles with their repulsive force value is equal to their attractive force resulting in no resultant force, and creating a local minima causing the quadrotor stop. Hence, this study presented a modification of the potential field algorithm to be applied in the quadrotor so that the quadrotor can avoid the loca minima. The proposed algorithm was modified by making a virtual obstacle which has a repulsive force so that the resultant force is not equal to zero and no local minima generated.
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Path Planning; Quadrotor; Local Minima; Potential Field; Avoid Obstacles

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O. Khatib, Real time obstacle avoidance for manipulators and mobile robots, International Journal of Robotics and Research, vol. 5, no. 1. pp. 90–98, 1986.

B. Faverjon and P. Tournassoud, A local based approach for path planning of manipulators with a high number of degrees of freedom, in Proceedings. 1987 IEEE International Conference on Robotics and Automation, 1987, pp. 1152–1159.

C. W. Warren, Global path planning using artificial potential fields, in Proceedings, 1989 International Conference on Robotics and Automation, 1989, pp. 316–321.

C. I. Connolly, J. B. Burns, and R. Weiss, Path planning using Laplace’s equation, in Proceedings., IEEE International Conference on Robotics and Automation, 1990, pp. 2102–2106.

J. Barraquand, B. Langlois, and J.-C. Latombe, Numerical potential field techniques for robot path planning, IEEE Trans. Syst. Man. Cybern., vol. 22, no. 2, pp. 224–241, 1992.

Xiaoping Yun and Ko-Cheng Tan, A wall-following method for escaping local minima in potential field based motion planning, in 1997 8th International Conference on Advanced Robotics. Proceedings. ICAR’97, 1997, pp. 421–426.

W. Newman and N. Hogan, High speed robot control and obstacle avoidance using dynamic potential functions, in Proceedings. 1987 IEEE International Conference on Robotics and Automation, 1987, pp. 14–24.

J. Kim and P. K. Khosla, Real-time obstacle avoidance using harmonic potential functions, IEEE Trans. Robot. Autom., vol. 8, no. 3, pp. 338–349, 1992.

J. Borenstein and Y. Koren, Real-time obstacle avoidance for fast mobile robots, IEEE Trans. Syst. Man. Cybern., vol. 19, no. 5, pp. 1179–1187, Sep. 1989.

R. Spence and S. Hutchinson, Dealing With Unexpected Moving Obstacles By Integrating Potential Field Planning With Inverse Dynamics Control, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1992, vol. 3, pp. 1485–1490.

S. Sundar and Z. Shiller, Optimal obstacle avoidance based on the Hamilton-Jacobi-Bellman equation, in Proceedings of the 1994 IEEE International Conference on Robotics and Automation, 1994, pp. 2424–2429.

A. A. Masoud, S. A. Masoud, and M. M. Bayoumi, Robot navigation using a pressure generated mechanical stress field: ‘the biharmonic potential approach, in Proceedings of the 1994 IEEE International Conference on Robotics and Automation, 1994, pp. 124–129.

G. Dozier, A. Homaifar, S. Bryson, and L. Moore, Artificial potential field based robot navigation, dynamic constrained optimization and simple genetic hill-climbing, in 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), 1998, pp. 189–194.

Y. Zhu, T. Zhang, and J. Song, An improved wall following method for escaping from local minimum in artificial potential field based path planning, in Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009, pp. 6017–6022.

I. Iswanto, O. Wahyunggoro, and A. I. Cahyadi, Formation Pattern Based on Modified Cell Decomposition Algorithm, Int. J. Adv. Sci. Eng. Inf. Technol., vol. 7, no. 3, pp. 829–835, 2017.

H. Noborio, S. Wazumi, S. Fukuda, and S. Arimoto, A Potential Approach For A Point Mobile Robot On An Implicit Potential Field Without The Generation Of Local Minima, in Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems’ (IROS '89) The Autonomous Mobile Robots and Its Applications, 1989, pp. 70–77.

Iswanto, I., Ataka, A., Inovan, R., Wahyunggoro, O., Imam Cahyadi, A., Disturbance Rejection for Quadrotor Attitude Control Based on PD and Fuzzy Logic Algorithm, (2016) International Review of Automatic Control (IREACO), 9 (6), pp. 405-412.

Agustinah, T., Isdaryani, F., Nuh, M., Tracking Control of Quadrotor Using Static Output Feedback with Modified Command-Generator Tracker, (2016) International Review of Automatic Control (IREACO), 9 (4), pp. 242-251.

Krafes, S., Chalh, Z., Saka, A., Visual Servoing of a Spherical Inverted Pendulum on a Quadrotor Using Backstepping Controller, (2018) International Review of Aerospace Engineering (IREASE), 11 (1), pp. 6-14.

R. Mahony, V. Kumar, and P. Corke, Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor, IEEE Robot. Autom. Mag., vol. 19, no. 3, pp. 20–32, Sep. 2012.

Iswanto, O. Wahyunggoro, and A. I. Cahyadi, Hover position of quadrotor based on PD-like fuzzy linear programming Int. J. Electr. Comput. Eng., vol. 6, no. 5, pp. 2251–2261, 2016.

N. Maharani Raharja, E. Firmansyah, A. Imam Cahyadi, and I. Iswanto, Hovering Control of Quadrotor Based on Fuzzy Logic, Int. J. Power Electron. Drive Syst., vol. 8, no. 1, p. 492, Mar. 2017.

Manzoor, M., Maqsood, A., Hasan, A., Quadratic Optimal Control of Aerodynamic Vectored UAV at High Angle of Attack, (2016) International Review of Aerospace Engineering (IREASE), 9 (3), pp. 70-79.

Aziz, M., Elsayed, A., CFD Investigations for UAV and MAV Low Speed Airfoils Characteristics, (2015) International Review of Aerospace Engineering (IREASE), 8 (3), pp. 95-100.

Carloni, G., Bousson, K., A Nonlinear Control Method for Autonomous Navigation Guidance, (2016) International Review of Civil Engineering (IRECE), 7 (4), pp. 102-113.


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