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Modeling and Control of a Novel Bi-Quadcopter with Auxiliary Thruster Mechanism

Vijay Reddy Vundela, Vijay Muralidharan

TL;DR

The paper addresses under-actuated control of a heavy-lift Bi-Quadcopter with auxiliary thrusters. It develops a Newton-Euler dynamic model and a force-decomposition control allocation using a full-row-rank matrix $A_{st}$ and Moore-Penrose pseudoinverse to distribute thrust across six actuators, paired with a quaternion-based cascaded attitude controller and nonlinear position law $F_{des} = -k_p p_e - k_d v_e + m g e_3 + m\dot v_d$. The authors analyze actuator-failure scenarios and demonstrate via simulations that control reallocation can maintain stability and trajectory tracking, highlighting reduced actuator load and redundancy benefits. These contributions advance tilting/UAV designs for heavy-lift and safe operation under actuator faults, with practical implications for indoor and confined-environment deployments.

Abstract

In this paper, a new under-actuated Bi-Quadcopter Unmanned Aerial Vehicle is introduced. The proposed drone configuration can be controlled similar to a Bicopter. The dynamics of the proposed Bi-Quadcopter is developed using the Newton-Euler approach. Using the force decomposition technique, a mapping between the control wrench and actuator inputs is developed. A nonlinear position control is applied for the Bi-Quadcopter using the quaternion-based cascaded attitude controller. The performance of the proposed UAV with the control algorithm is verified through simulations. Finally, the actuator failure scenarios were analyzed.

Modeling and Control of a Novel Bi-Quadcopter with Auxiliary Thruster Mechanism

TL;DR

The paper addresses under-actuated control of a heavy-lift Bi-Quadcopter with auxiliary thrusters. It develops a Newton-Euler dynamic model and a force-decomposition control allocation using a full-row-rank matrix and Moore-Penrose pseudoinverse to distribute thrust across six actuators, paired with a quaternion-based cascaded attitude controller and nonlinear position law . The authors analyze actuator-failure scenarios and demonstrate via simulations that control reallocation can maintain stability and trajectory tracking, highlighting reduced actuator load and redundancy benefits. These contributions advance tilting/UAV designs for heavy-lift and safe operation under actuator faults, with practical implications for indoor and confined-environment deployments.

Abstract

In this paper, a new under-actuated Bi-Quadcopter Unmanned Aerial Vehicle is introduced. The proposed drone configuration can be controlled similar to a Bicopter. The dynamics of the proposed Bi-Quadcopter is developed using the Newton-Euler approach. Using the force decomposition technique, a mapping between the control wrench and actuator inputs is developed. A nonlinear position control is applied for the Bi-Quadcopter using the quaternion-based cascaded attitude controller. The performance of the proposed UAV with the control algorithm is verified through simulations. Finally, the actuator failure scenarios were analyzed.
Paper Structure (10 sections, 24 equations, 7 figures, 1 table)

This paper contains 10 sections, 24 equations, 7 figures, 1 table.

Figures (7)

  • Figure 1: Schematic of Bi-Quadcopter drone.
  • Figure 2: Bi-Quadcopter position control flow diagram.
  • Figure 3: The desired and actual position trajectories through the simulations (isometric view).
  • Figure 4: The desired and actual position trajectories from the top view ($X_iY_i$-plane).
  • Figure 5: The desired and actual position and attitude trajectories and the required actuator inputs for proper tracking.
  • ...and 2 more figures