Experimental studies of the operation dynamics of the motion neuro regulator of a nonlinear dynamic system
DOI:
https://doi.org/10.31548/energiya2021.03.026Abstract
In the article, experimental studies of the neurocontroller of a laboratory installation of a quadrocopter link are presented. The latter is a nonlinear dynamic system. The input vector of the neurocontroller included the angle of inclination of the rod (a beam of the quadcopter) relative to the horizon, its angular velocity, and the angular velocity of the propeller. The output signal of the neurocontroller is proportional to the supply voltage of the propeller drive.
In the article, the planning of experimental studies was carried out and eight indicators were selected, according to which the quality of the control process was evaluated. In addition, a qualitative analysis of the control process of the dynamic system motion was carried out with the corresponding graphical dependencies.
The data obtained showed a good quality of control at a zero setpoint angle. For other values of the setpoint (-0.52 and -1.05 rad), the neurocontroller provides the rod aboutness to the setpoint angle and the control stability. However, the quality of control is not high. The reason for this effect has been established in the work.
In order to improve the quality of control, the neurocontroller was modified by including an integral component in its structure. At the same time, the steady-state control error has significantly decreased with minor changes in other estimated indicators.
Key words: neurocontroller, dynamic system, experimental research, evaluationReferences
Kim, J., S. Gadsden, A., Wilkerson, S. A. (2019). A Comprehensive Survey of Control Strategies for Autonomous Quadrotors Canadian Journal of Electrical and Computer Engineering, 43 (1), 3-16. DOI: 10.1109/CJECE.2019.2920938
https://doi.org/10.1109/CJECE.2019.2920938
Muliadi, J., Kusumoputro, B. (2018). Neural Network Control System of UAV Altitude Dynamics and Its Comparison with the PID Control System. Journal of Advanced Transportation,. Article ID 3823201, 18. DOI: 10.1155/2018/3823201
https://doi.org/10.1155/2018/3823201
Gu, W., Valavanis, K. P., Rutherford, M. J., Rizzo A. (2020). UAV Model-based Flight Control with Artificial Neural Networks: A Survey. Journal of Intelligent & Robotic Systems, 100, 1469-1491. DOI: 10.1007/s10846-020-01227-8
https://doi.org/10.1007/s10846-020-01227-8
Jiang, F., Pourpanah, F., Hao, Q. (2019). Design, Implementation and Evaluation of a Neural Network Based Quadcopter UAV System. IEEE transactions on industrial electronics, 67 (3), 2076-2085. DOI: 10.1109/TIE.2019.2905808
https://doi.org/10.1109/TIE.2019.2905808
Romasevych, Y. O., Loveikin, V. S., Shevchuk, O. G. (2020). Identyfikatsiia matematychnoi modeli laboratornoi ustanovky lanky kvadrokoptera [Identification of the mathematical model of laboratory installation of a quadcopter link]. Energetyka i avtomatyka, 4, 27-37.
https://doi.org/10.31548/energiya2020.04.027
Savitzky, A., Golay, M.J.E. (1964). Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Analytical Chemistry, 36 (8), 1627-1639. DOI: 10.1021/ac60214a047
https://doi.org/10.1021/ac60214a047
Åströn, K. J., Hägglund, T. (2006). Advanced PID control. ISA. The Instrumentation, Systems, and Automation Society, 460.
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