Integrated design of trajectory planning and control for micro air vehicles

Effective trajectory planning and feedback control are important for an autonomous micro air vehicle (MAV) to accomplish a flight task of going across several target points. This paper presents a novel method to generate an optimal trajectory for a MAV based on criteria of minimum energy consumptions and lowest difficulties in reorienting the vehicle, via designing feasible turning rates and heading angles in consideration of the MAV dynamics. A switching PID feedback control is proposed and utilized in the lateral control of the MAV to accomplish the trajectory tracking. Examples of two-waypoint and multi-waypoint missions, using the proposed trajectory planning and tracking scheme based on a developed control system of a MAV, are presented, with the simulation results to demonstrate the effectiveness of the proposed approach.

[1]  D. Lane,et al.  Subsea vehicle path planning using nonlinear programming and constructive solid geometry , 1997 .

[2]  P. Lissaman,et al.  Technical aspects of microscale flight systems , 1998 .

[3]  Mark James,et al.  Reliable autonomous control technologies (ReACT) for uninhabited air vehicles , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[4]  Suk-Kyo Hong,et al.  A study on the 3-DOF attitude control of free-flying vehicle , 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).

[5]  J. Betts Survey of Numerical Methods for Trajectory Optimization , 1998 .

[6]  Randy S. Roberts,et al.  An adaptive path planning algorithm for cooperating unmanned air vehicles , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[7]  D. Vos,et al.  Aerodynamics and flight control design for hovering micro air vehicles , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[8]  Patrizio Tomei,et al.  Adaptive PD controller for robot manipulators , 1991, IEEE Trans. Robotics Autom..

[9]  J. W. Jackson,et al.  Curved path approaches and dynamic interpolation , 1991 .

[10]  A. Pearson,et al.  Weighted least squares/MFT algorithms for linear differential system identification , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[11]  Dong Sun,et al.  Model identification of a micro air vehicle in loitering flight based on attitude performance evaluation , 2004, IEEE Transactions on Robotics.

[12]  S. S. Banda,et al.  Fighter aircraft lateral axis full envelope control law design , 1993, Proceedings of IEEE International Conference on Control and Applications.

[13]  Yaakov Oshman,et al.  Mini-UAV altitude estimation using an inertially stabilized payload , 1999 .

[14]  Steven Ashley,et al.  Palm-Size Spy Planes , 1998 .

[15]  Timothy W. McLain,et al.  Coordinated target assignment and intercept for unmanned air vehicles , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[16]  Kamesh Subbarao,et al.  A novel trajectory tracking methodology using structured adaptive model inversion for uninhabited aerial vehicles , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).