Algorithms and Methods for the Fault-Tolerant Design of an Automated Guided Vehicle

Area of Science:

• Engineering
• Control Systems
• Computer Science

Background:

• The increasing complexity of technical systems, reliance on electronics and software, and the rise of interconnected solutions necessitate advanced fault-tolerance.
• Fault-tolerant control has been a long-standing research area, recently augmented by fault-tolerant design principles.
• Current systems face challenges in controllability, diagnosability, and inherent robustness against failures.

Purpose of the Study:

• To present a methodical framework for fault-tolerant design.
• To introduce algorithms and methods supporting fault-tolerant design.
• To demonstrate the application of fault-tolerant design principles to an automated guided vehicle (AGV).

Main Methods:

• Development of a methodical framework for fault-tolerant design.
• Creation of specific algorithms and methods within this framework.
• Application of fault-tolerant design across multiple levels, from requirements management to product geometry, using redundancy and over-actuation.

Main Results:

• A structured approach to fault-tolerant design is established.
• Algorithms and methods are detailed for practical implementation.
• Successful application to an AGV demonstrates enhanced fault-tolerance at various design stages.

Conclusions:

• The proposed methodical framework supports engineers in design and control processes.
• Fault-tolerant design, incorporating intelligent strategies and inherent characteristics, improves system reliability.
• The application to AGVs highlights the effectiveness of the framework in enhancing product development.