### Abstract

In this paper, collision-free guidance control of multiple small unmanned helicopters is designed. Collision avoidance of the helicopters should be considered in the control system design for safe operation. Therefore, a guidance control system using a distributed nonlinear model predictive control (DNMPC) is proposed to realize the collision avoidance. A constraint for the relative position vector between the each helicopter is considered in the design for efficient avoidance. Small single rotor helicopter is considered as controlled object, and the guidance control system is designed for the nonlinear translational model treated a helicopter as an ellipsoid. DNMPC is designed with three constraints, an input constraint, a state constraint, and a relative position vector constraint. An input constraint and a state constraint realize collision avoidance in input within the constant limits. If the moving path of the one helicopter is significantly affected by the moving path of other helicopter, the relative position vector constraint makes the helicopters exchange their relative position each other. By using these constraints, smooth collision avoidance is realized. The helicopters exchange information about current state and optimal input sequence each other for calculating the predictive trajectory of others. Based on the calculated trajectories, each helicopter solves its local optimization problem. Here, sharing the velocity information is difficult because calculation processing capability of the small sensor and communication capability between UAVs are restricted. Therefore, a dynamic compensator for velocity compensation is introduced. By introducing the dynamic compensator, collision avoidance using only exchange on the position and the input sequence information is accomplished without exchanging velocity information. The effectiveness of the proposed control system is verified by numerical simulations.

Original language | English |
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Title of host publication | MOVIC 2014 - 12th International Conference on Motion and Vibration Control |

Publisher | Japan Society of Mechanical Engineers |

Publication status | Published - 2014 |

Externally published | Yes |

Event | 12th International Conference on Motion and Vibration Control, MOVIC 2014 - Sapporo, Hokkaido, Japan Duration: 2014 Aug 3 → 2014 Aug 7 |

### Other

Other | 12th International Conference on Motion and Vibration Control, MOVIC 2014 |
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Country | Japan |

City | Sapporo, Hokkaido |

Period | 14/8/3 → 14/8/7 |

### Fingerprint

### Keywords

- Collision avoidance
- Distributed nonlinear model predictive control
- Multiple small unmanned helicopters
- Restricted communication networks

### ASJC Scopus subject areas

- Control and Systems Engineering

### Cite this

*MOVIC 2014 - 12th International Conference on Motion and Vibration Control*Japan Society of Mechanical Engineers.

**Collision-free guidance control of multiple UAVs with restricted communication networks.** / Aida, Yoshihiko; Fujisawa, Yohei; Suzuki, Satoshi; Iizuka, Kojiro; Kawamura, Takashi; Ikeda, Yuichi.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*MOVIC 2014 - 12th International Conference on Motion and Vibration Control.*Japan Society of Mechanical Engineers, 12th International Conference on Motion and Vibration Control, MOVIC 2014, Sapporo, Hokkaido, Japan, 14/8/3.

}

TY - GEN

T1 - Collision-free guidance control of multiple UAVs with restricted communication networks

AU - Aida, Yoshihiko

AU - Fujisawa, Yohei

AU - Suzuki, Satoshi

AU - Iizuka, Kojiro

AU - Kawamura, Takashi

AU - Ikeda, Yuichi

PY - 2014

Y1 - 2014

N2 - In this paper, collision-free guidance control of multiple small unmanned helicopters is designed. Collision avoidance of the helicopters should be considered in the control system design for safe operation. Therefore, a guidance control system using a distributed nonlinear model predictive control (DNMPC) is proposed to realize the collision avoidance. A constraint for the relative position vector between the each helicopter is considered in the design for efficient avoidance. Small single rotor helicopter is considered as controlled object, and the guidance control system is designed for the nonlinear translational model treated a helicopter as an ellipsoid. DNMPC is designed with three constraints, an input constraint, a state constraint, and a relative position vector constraint. An input constraint and a state constraint realize collision avoidance in input within the constant limits. If the moving path of the one helicopter is significantly affected by the moving path of other helicopter, the relative position vector constraint makes the helicopters exchange their relative position each other. By using these constraints, smooth collision avoidance is realized. The helicopters exchange information about current state and optimal input sequence each other for calculating the predictive trajectory of others. Based on the calculated trajectories, each helicopter solves its local optimization problem. Here, sharing the velocity information is difficult because calculation processing capability of the small sensor and communication capability between UAVs are restricted. Therefore, a dynamic compensator for velocity compensation is introduced. By introducing the dynamic compensator, collision avoidance using only exchange on the position and the input sequence information is accomplished without exchanging velocity information. The effectiveness of the proposed control system is verified by numerical simulations.

AB - In this paper, collision-free guidance control of multiple small unmanned helicopters is designed. Collision avoidance of the helicopters should be considered in the control system design for safe operation. Therefore, a guidance control system using a distributed nonlinear model predictive control (DNMPC) is proposed to realize the collision avoidance. A constraint for the relative position vector between the each helicopter is considered in the design for efficient avoidance. Small single rotor helicopter is considered as controlled object, and the guidance control system is designed for the nonlinear translational model treated a helicopter as an ellipsoid. DNMPC is designed with three constraints, an input constraint, a state constraint, and a relative position vector constraint. An input constraint and a state constraint realize collision avoidance in input within the constant limits. If the moving path of the one helicopter is significantly affected by the moving path of other helicopter, the relative position vector constraint makes the helicopters exchange their relative position each other. By using these constraints, smooth collision avoidance is realized. The helicopters exchange information about current state and optimal input sequence each other for calculating the predictive trajectory of others. Based on the calculated trajectories, each helicopter solves its local optimization problem. Here, sharing the velocity information is difficult because calculation processing capability of the small sensor and communication capability between UAVs are restricted. Therefore, a dynamic compensator for velocity compensation is introduced. By introducing the dynamic compensator, collision avoidance using only exchange on the position and the input sequence information is accomplished without exchanging velocity information. The effectiveness of the proposed control system is verified by numerical simulations.

KW - Collision avoidance

KW - Distributed nonlinear model predictive control

KW - Multiple small unmanned helicopters

KW - Restricted communication networks

UR - http://www.scopus.com/inward/record.url?scp=84925358038&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84925358038&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84925358038

BT - MOVIC 2014 - 12th International Conference on Motion and Vibration Control

PB - Japan Society of Mechanical Engineers

ER -