Multi-loop Model Reference PID Control

Version 1.0.0 (678 ko) par Baris Baykant ALAGOZ
Multi-loop model reference control to improve disturbance rejection control performance
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Mise à jour 13 mars 2021

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Multi-loop control structures can enhance inherent disturbance rejection capacity of classical closed loop control loops: While the classical closed loop PID control loop (inner loop) deals with stability and set-point control, the additional model reference control loop of MIT rule (outer loop) can improve the disturbance rejection control performance without degrading the optimal set-point control performance. Such adaptive disturbance rejection, which is not influencing the set-point control performance, can be achieved by selecting reference models as transfer functions of PID control loops (with ignorable time delay)

Citation pour cette source

[1] Alagoz, B. B., Tepljakov, A., Petlenkov, E., & Yeroglu, C. (2020). Multi-Loop Model Reference Proportional Integral Derivative Controls: Design and Performance Evaluations. Algorithms, 13(2), 38. [2] Alagoz, B.B., Kavuran, G., Ates, A., Yeroglu, C., Alisoy, H. (2019). Multi-loop model reference adaptive PID control for fault-tolerance. Balkan Journal of Electrical and Computer Engineering, 7(3), 276-285. [3] Tepljakov, A., Alagoz, B. B., Gonzalez, E., Petlenkov, E., & Yeroglu, C. (2018). Model reference adaptive control scheme for retuning method-based fractional-order PID control with disturbance rejection applied to closed-loop control of a magnetic levitation system. Journal of Circuits, Systems and Computers, 27(11), 1850176. [4] Alimohammadi, H., Alagoz, B. B., Tepljakov, A., Vassiljeva, K., & Petlenkov, E. (2020). A NARX Model Reference Adaptive Control Scheme: Improved Disturbance Rejection Fractional-Order PID Control of an Experimental Magnetic Levitation System. Algorithms, 13(8), 201.

Compatibilité avec les versions de MATLAB
Créé avec R2020b
Compatible avec les versions R2020b et ultérieures
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1.0.0