English

Failsafe Mechanism Design of Multicopters Based on Supervisory Control Theory

Systems and Control 2026-01-29 v1 Systems and Control

Abstract

In order to handle undesirable failures of a multicopter which occur in either the pre-flight process or the in-flight process, a failsafe mechanism design method based on supervisory control theory is proposed for the semi-autonomous control mode. Failsafe mechanism is a control logic that guides what subsequent actions the multicopter should take, by taking account of real-time information from guidance, attitude control, diagnosis, and other low-level subsystems. In order to design a failsafe mechanism for multicopters, safety issues of multicopters are introduced. Then, user requirements including functional requirements and safety requirements are textually described, where function requirements determine a general multicopter plant, and safety requirements cover the failsafe measures dealing with the presented safety issues. In order to model the user requirements by discrete-event systems, several multicopter modes and events are defined. On this basis, the multicopter plant and control specifications are modeled by automata. Then, a supervisor is synthesized by monolithic supervisory control theory. In addition, we present three examples to demonstrate the potential blocking phenomenon due to inappropriate design of control specifications. Also, we discuss the meaning of correctness and the properties of the obtained supervisor. This makes the failsafe mechanism convincingly correct and effective. Finally, based on the obtained supervisory controller generated by TCT software, an implementation method suitable for multicopters is presented, in which the supervisory controller is transformed into decision-making codes.

Keywords

Cite

@article{arxiv.1704.08605,
  title  = {Failsafe Mechanism Design of Multicopters Based on Supervisory Control Theory},
  author = {Quan Quan and Zhiyao Zhao and Liyong Lin and Peng Wang and Walter Murray Wonham and Kai-Yuan Cai},
  journal= {arXiv preprint arXiv:1704.08605},
  year   = {2026}
}

Comments

33 pages, 15 figures