Abstract
This paper presents a novel five degrees of freedom (DOF) two-wheeled robotic machine (TWRM) that delivers solutions for both industrial and service robotic applications by enlarging the vehicle’s workspace and increasing its flexibility. Designing a two-wheeled robot with five degrees of freedom creates a high challenge for the control, therefore the modelling and design of such robot should be precise with a uniform distribution of mass over the robot and the actuators. By employing the Lagrangian modelling approach, the TWRM’s mathematical model is derived and simulated in Matlab/Simulink®. For stabilizing the system’s highly nonlinear model, two control approaches were developed and implemented: proportional-integral-derivative (PID) and fuzzy logic control (FLC) strategies. Considering multiple scenarios with different initial conditions, the proposed control strategies’ performance has been assessed.
| Original language | English |
|---|---|
| Pages (from-to) | 511-533 |
| Number of pages | 23 |
| Journal | International Journal of Automation and Computing |
| Volume | 16 |
| Issue number | 4 |
| Early online date | 17 Apr 2019 |
| DOIs | |
| Publication status | Published - 1 Aug 2019 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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