Design and Development of Modular Autonomous Flying Vehicle

Jaber Abedin, Rini Akmeliawati

Abstract


In recent years, Vertical Take-off and Landing vehicles (VTOL) have gained popularity among researchers due to their capabilities of vertical stationary flight and maneuverability. As the consequences, many beneficial and unique applications of this type of vehicle can be found for both military and civilian purposes. Despite heightened interest in VTOL vehicles, research in this area until now has focused almost exclusively on rotorcraft platforms such as quadrotors. Very little research has been performed in extending the design of VTOL vehicles to a multi-rotor platform consisting of individual flight modules using distributed control. In this project, a multi-rotor platform consisting of modular flight vehicles using distributed control has been designed. The individual modules are able to communicate and coordinate with each other to fly in a variety of flight formations either as individual units flying in formation in a coordinated fashion or as larger units by physically combining and docking with each other. A distributed strategy for hover control based on the physical parameters of the distributed flight array (DFA) formed the basis of the flight control of the vehicles. The analysis of the prototype showed that the roll and the pitch angles achieved stabilization in the hovering state.

Keywords


Distributed Flight Array; VTOL Vehicles; UAV; Multi-Rotor Platform; Distributed UAV Flight Formation Control;

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References


Bouabdallah, S., Noth, A., & Siegwart, R. (2004). PID vs LQ Control Techniques Applied to an Indoor Micro Quadrotor. Proeedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, (pp. 2451-2456). Sendal.

Bouabdallah, S., & Siegwart, R. (2005). Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor. Proceedings of the 2005 IEEE International Conference on Robotics and Automation, (pp. 2247-2252). Barcelona.

Budiyono, A., Lee, G., Beom Kim, G., Park, J., Kang, T., & Joon Yoon, K. (2015). Control system design of a quad-rotor with collision detection. Aircraft Engineering and Aerospace Technology: An International Journal, 87(1), 59-66.

Mahmud, I., Akmeliawati, R., & Budiyono, A. (2014). DE-based Robust Controller Design for Helicopter Cruise Control. International Journal of Robotics and Mechatronics, 1(4), 145-151.

B. Tijani, I., Akmeliawati, R., Legowo, A., Budiyono, A., & Abdul Muthalif, A. G. (2014). Hybrid DE-PEM algorithm for identification of UAV helicopter. Aircraft Engineering and Aerospace Technology: An International Journal, 86(5), 385-405.

B. Tijani, I., Akmeliawati, R., Legowo, A., & Budiyono, A. (August, 2014). Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution. Engineering Applications of Artificial Intelligence, 33, 99-115.

Kaliappan, V., Mi, D., Choi, E., & Budiyono, A. (July, 2014). Reconfigurable Intelligent Control Architecture for Small Scale Unmanned Helicopter. Journal of Aerospace Engineering, 27(4).

Megawati, N. Y., Joelianto, E., & Budiyono, A. (2013). Control of Autonomous Helicopter Models with Robust H2-Type Switched Linear Controller. International Journal of Applied Mathematics and Statistics, 35(5), 137-148.

Kim, G. B., Nguyen, T. K., Budiyono, A., Park, J. K., Yoon, K. J., & Shin, J. (February, 2013). Design and Development of a Class of Rotorcraft-based UAV. International Journal of Advanced Robotic Systems, 10(1), 1-9.

Jong, D., Kang, T., Dharmayanda, H. R., & Budiyono, A. (October, 2012). H‐Infinity Attitude Control System Design for a Small Scale Autonomous Helicopter with Nonlinear Dynamics and Uncertainties. Journal of Aerospace Engineering.

Dharmayanda, H. R., Kang, T., Budiyono, A., Kim, B., & Adiprawita, W. (2012). Parameter Identification and Design of a Robust Attitude Controller Using H∞ Methodology for the Raptor E620 Small Scale Helicopter. International Journal of Control, Automation, and Systems, 10(1), 88-101.

Pradana, W. A., Joelianto, E., Budiyono, A., & Adiprawita, W. (2011). Robust MIMO H∞ Integral-Backstepping PID Controller for Hovering Control of Unmanned Model Helicopter. Journal of Aerospace Engineering, 24(4), 454-462.

Tijani, I., Akmeliawati, R., Legowo, A., Budiyono, A., & Abdul Muthalif, A. G. (2011). Robust Controller for Autonomous Helicopter Hovering Control. Journal of Aircraft Engineering and Aerospace Technology, 83(6).

Joelianto, E., Soemarjono, E. M., Budiyono, A., & Penggalih, D. R. (2011). Model Predictive Control for Autonomous Unmanned Helicopters. Journal of Aircraft Engineering and Aerospace Technology, 83(6).

Slotine, J., & Li, W. (1991). Applied nonlinear control. Prentice-Hall Inc.

Park, D. (2001). A Study on the 3-DOF Attitude Control of Free-Flying Vehicle. IEEE International Symposium on Industrial Electronics, (pp. 1260-1265).

Tang, J., & Varley, M. (1997). Hardware Implementations of Multi-Layer Feedforward Neural Networks using 8-bit PIC Microcontroller. IEEE Colloquim (Digest).

Dunfied, J., Tarbouchi, M., & Labonte, G. (2004). Neural Network Based control of a Four Rotor Helicopter. 2004 IEEE International Conference on Industrial Technology (ICIT), (pp. 1543-1548).

FNU, V., & Cohen, K. (2014). Autonomous Control of a Quadrotor UAV using Fuzzy Logic. Journal of Unmanned System Technology, 2(3), 144-155.

Bhatkhande, P., & Havens, T. C. (2014). Real Time Fuzzy Controller For Quadrotor Stability Control. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), (pp. 913-919). Beijing.

Marconi, L., & Naldi, R. (2006). Robust nonlinear control of a miniature helicopter for aerobatic maneuvers. Proceedings 32th Rotorcraft Forum.

Zhang, P., & Liu, J. (2011). On New UAV Flight Control System Based On Kalman & PID. The 2nd International Conference on Intelligent Control and Information Processing, (pp. 819-823).

Paul, T., Krogstad, T. R., & Gravdahl, J. T. (2008). UAV Formation Flight using 3D Potential Field. 16th Mediterranean Conference on Control and Automation, (pp. 1240-1245). Ajaccio.

Bogdanov, A., Wan, E., & Harvey, G. (2004). Sdre flight control for x-cell and r-max autonomous helicopters. 43rd IEEE Conference on Decision and Control, (pp. 1196-1203).

Johnson, E. N., & Kannan, S. (2002). Adaptive flight control for an autonomous unmanned helicopter. AIAA Guidance, Navigation and Control Conference. Monterey.

Wu, C., Qi, J., Song, D., & Han, J. (2013). LP Based Path Planning for Autonomous Landing of An Unmanned Helicopter on A Moving Platform. Journal of Unmanned System Technology, 1(1), 7-13.

Imamura, A., Uemura, S., Miwa, M., & Hino, J. (2014). Flight Characteristics of Quad Ducted Fan Helicopter with Thrust Vectoring Nozzles. Journal of Unmanned System Technology, 2(1), 54-61.

Imamura, A., Urashiri, Y., Miwa, M., & Hino, J. (2014). Flight Characteristics of Quad Rotor Helicopter with Tilting Rotor. Journal of Instrumentation, Automation and Systems, 1(2), 56-63.

Imamura, A., Miwa, M., & Hino, J. (2014). Flight Characteristics of a Quadrotor Helicopter Using Extra Deflecting Thrusters. Journal of Instrumentation, Automation and Systems, 1(2), 64-71.

Miwa, M., & Marubashi, S. (2014). Ducted Fan Flying Object with normal and reverse ducted fan units. International Journal of Robotics and Mechatronics, 1(1), 8-15.

SM, V., MK, B., Kumar, H., Prasad, A., & M, G. (2014). Vision Based Altitude Control for a Trajectory Following Quadrotor Using Position Feedback. International Journal Of Robotics And Mechatronics, 1(2), 70-73.

Flores-Abad, A., Xie, P., Martinez-Arredondo, G., & Ma, O. (2014). Verification of a special inertial measurement unit using a Quadrotor aircraft. International Journal of Intelligent Unmanned Systems, 2(1), 40-55.

Miwa, M., Uemura, S., Ishihara, Y., Imamura, A., Shim, J.-h., & Ioi, K. (2013). Evaluation of quad ducted-fan helicopter. International Journal of Intelligent Unmanned Systems, 1(2), 187-198.

Suzuki, S., Ishii, T., Yanagisawa, G., Tomita, K., & Yokoyama, Y. (2013). Multi-body Dynamics Modeling of Fixed-Pitch Coaxial Rotor Helicopter. Journal of Unmanned System Technology, 1(1), 27-33.

Oung, R., Bourgault, F., Matthew, D., & Raffaello, D. (2010). The Distributed Flight Array. 2010 IEEE International Conference on Robotics and Automation, (pp. 601-607). Anchorage.

Oung, R., Ramezani, A., & D'Andrea, R. (2009). Feasibility of a distributed flight array. Proceedings of the IEEE Conference on Decision and Control, (pp. 3038-3044).

Wan, J., & Ai, J. l. (2009). Design and Simulation of Fuzzy Control System of UAV Formation Flight. Journal of System Simulation, 4183-4189.


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