Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—Robust performance improvements useful in engineering to achieve the best quality of produce popular development focus on applying control and communication technology to achieve greater efficiency. In addition, stability is essential in engineering as it must be resistant to environmental or changing conditions. This research presents an improvement in the control performance of the quadrotor position output signal by adopting an industrially popular Programmable Logic Controller (PLC) to demonstrate the ability to control and communicate in display and control via OPC-UA communication. The experimental present can be applied to control applications very well. The operation data can be transmitted in realtime satisfactorily. Control research has focused on improving the durability of the quadrotor's control at different target levels by using the fuzzy controller to determine the optimal amount of feedback signal region over time and to compares with the design of the PID controller by the mathematical model with the fuzzy controller design presented in this study can change the control value according to the target signal at different levels. The experimental results found that could optimize fuzzy controller embedded PLC could have the reasonable control of keeping the target position even changing the target altitude to other functions.
Index Terms—self tuning, quadrotor, fuzzy controller, PID controller, programmable logic controller
Cite: Suppachai Howimanporn, Sasithorn Chookaew, and Chaiyaporn Silawatchananai, "Robust Altitude Control of a Quadrotor with Self Tuning via Embedded PLC and Dashboard," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 5, pp. 311-318, May 2022. DOI: 10.18178/ijmerr.11.5.311-318
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