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Neurocontrol Design for an Aerodynamics System: Simple Backpropagation Approach

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10th International Conference on Robotics, Vision, Signal Processing and Power Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 547))

Abstract

This paper proposes a Neurocontrol (NNC) for a Twin Rotor Aerodynamics System (TRAS) by a simple backpropagation approach to improve the pitch position accuracy. A concept known as gradient descent method is applied to adjust the weights adaptively. The approach has several notable merits namely low computational cost, simple and promising controller. The viability of NNC is verified by using MATLAB to analyze the tracking performance and control effort. PID control is benchmarked against the proposed NNC to determine the effectiveness of the controller. From the simulation work, it was discovered that NNC was superior then PID controller by reducing about 14%, 23% and 97% in the value of the overshoot, settling time and steady-state error respectively. The promising part of NNC was the improvement shown in the controller effort by significantly eliminating the fluctuation and chattering in the control signal. By looking into the future, this work will be a foundation for future improvement due to the fact that there are numerous types of approaches could be embedded in the Neural Network algorithm.

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Acknowledgements

This work was funded by Universiti Teknologi Malaysia (UTM) through internal grant, Research University Grant (GUP) Tier 1, Project No. Q.J130000.2523.17H18.

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Authors and Affiliations

  1. Department Electrical and Electronics Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 UPM, Serdang, Selangor, Malaysia

    Nor Mohd Haziq Norsahperi

  2. Centre for Artificial Intelligence and Robotics, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310 UTM, Skudai, Johor, Malaysia

    Kumeresan A. Danapalasingam

Authors
  1. Nor Mohd Haziq Norsahperi
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  2. Kumeresan A. Danapalasingam
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Corresponding author

Correspondence to Kumeresan A. Danapalasingam .

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Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia

    Mohamad Adzhar Md Zawawi

  2. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia

    Soo Siang Teoh

  3. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia

    Noramalina Binti Abdullah

  4. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia

    Mohd Ilyas Sobirin Mohd Sazali

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Norsahperi, N.M.H., Danapalasingam, K.A. (2019). Neurocontrol Design for an Aerodynamics System: Simple Backpropagation Approach. In: Zawawi, M., Teoh, S., Abdullah, N., Mohd Sazali, M. (eds) 10th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-13-6447-1_1

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