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Switched electromechanical dynamics for transient phase control of brushed DC servomotor
William Z Peng1, Hyunjong Song1, Dariusz Czarkowski2
1Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, New York 11201, USA.
This study introduces a new electromechanical model for servomotors capable of handling transient motions. The model accurately predicts performance and optimizes energy consumption for robotic systems.
Area of Science:
- Robotics and Control Systems
- Electromechanical Engineering
- Applied Physics
Background:
- Robotic tasks frequently involve transient or aperiodic motions, exceeding the capabilities of models focused on steady-state behavior.
- Existing electromechanical servomotor models often neglect the crucial switching power converter circuits essential for precise motion control.
- There is a need for comprehensive models that integrate electrical and mechanical dynamics for general robotic applications.
Purpose of the Study:
- To establish a multi-domain framework for switched electromechanical dynamics in servomotor systems.
- To enable analysis and control of servomotors during general aperiodic tasks, including transient phases.
- To develop a more accurate model for servomotor power consumption for energy optimization.
Main Methods:
- Derived switched electromechanical dynamics from individual DC motor, gear train, and H-bridge circuit models.
- Integrated all switching configurations, including on-state, off-state, and dead time, into a coupled model.
- Employed cycle averaging with piecewise analytical solutions to manage diverse temporal scales.
Main Results:
- Validated the model's predictive accuracy against experimental data for dynamic braking and trajectory following tasks.
- Demonstrated optimal control and energy analysis using the derived servomotor power consumption model.
- Showcased that the developed power consumption model achieves true optimality compared to common proxy models.
Conclusions:
- The developed multi-domain framework provides a robust method for analyzing and controlling servomotors in general aperiodic tasks.
- The validated model accurately predicts servomotor behavior during transient phases and enables precise energy optimization.
- The approach is applicable to a wide range of electromechanical systems with switching-based control, enhancing robotic system efficiency.
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