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A Fuzzy Virtual Actuator for Automated Guided Vehicles
1Department of Mechanical Engineering, Ravensburg-Weingarten University (RWU), 88250 Weingarten, Germany.
Sensors (Basel, Switzerland)
|July 30, 2020
Summary
This study introduces a novel fuzzy virtual actuator for automated guided vehicles (AGVs). This system enhances fault tolerance, ensuring safe operation even with issues like slippery surfaces.
Area of Science:
- Robotics
- Control Systems Engineering
- Artificial Intelligence
Background:
- Virtual sensors and actuators are increasingly important in fault-tolerant control.
- Virtual actuators are key components in accommodating system faults for safe operation.
- Automated Guided Vehicles (AGVs) require sophisticated control systems, especially with innovative steering.
Purpose of the Study:
- To propose a novel fuzzy virtual actuator for an automated guided vehicle (AGV).
- To leverage fuzzy logic for integrating expert knowledge into the virtual actuator's decision-making process.
- To demonstrate the virtual actuator's capability in accommodating faults in AGVs.
Main Methods:
- Development of a fuzzy virtual actuator concept.
- Application of fuzzy logic rules for fault accommodation.
- Integration with an AGV featuring an innovative steering system.
Main Results:
- The fuzzy virtual actuator successfully integrates expert knowledge via fuzzy logic rules.
- The system demonstrates the ability to accommodate faults, such as a slippery surface affecting drive modules.
- The proposed concept is applied to an AGV with a complex steering mechanism.
Conclusions:
- Fuzzy virtual actuators offer a promising approach for fault-tolerant control in AGVs.
- The integration of expert knowledge through fuzzy logic enhances the robustness of control systems.
- This technology contributes to the safe and reliable operation of AGVs in dynamic environments.
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