scholarly journals Multi-loop Model Reference Adaptive PID Control for Fault-Tolerance

2019 ◽  
pp. 276-285 ◽  
Author(s):  
Barış Baykant Alagöz ◽  
Gürkan Kavuran ◽  
Abdullah Ateş ◽  
Celaleddin Yeroğlu ◽  
Hafız Alisoy
Keyword(s):  
Fault Tolerance ◽  
Pid Control ◽  
Loop Model ◽  
Model Reference ◽  
Adaptive Pid Control ◽  
Model Reference Adaptive

Uniform ultimate bounded robust model reference adaptive PID control scheme for visual servoing

2017 ◽  
Vol 354 (4) ◽  
pp. 1741-1758 ◽  
Author(s):  
Raaja Ganapathy Subramanian ◽  
Vinodh Kumar Elumalai ◽  
Selvakumar Karuppusamy ◽  
Vamsi Krishna Canchi
Keyword(s):  
Pid Control ◽  
Visual Servoing ◽  
Model Reference ◽  
Robust Model ◽  
Control Scheme ◽  
Adaptive Pid Control ◽  
Model Reference Adaptive

scholarly journals Design of a model reference adaptive PID control algorithm for a tank system

2021 ◽  
Vol 11 (1) ◽  
pp. 300
Author(s):  
Yohan Darcy Mfoumboulou
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Closed Loop ◽  
Reference Model ◽  
Pi Controller ◽  
Loop System ◽  
Closed Loop System ◽  
Model Reference ◽  
Adaptive Pid Control ◽  
Model Reference Adaptive

This paper describes the design of an adaptive controller based on model reference adaptive PID control (MRAPIDC) to stabilize a two-tank process when large variations of parameters and external disturbances affect the closed-loop system. To achieve that, an innovative structure of the adaptive PID controller is defined, an additional PI is designed to make sure that the reference model produces stable output signals and three adaptive gains are included to guarantee stability and robustness of the closed-loop system. Then, the performance of the model reference adaptive PID controller on the behaviour of the closed-loop system is compared to a PI controller designed on MATLAB when both closed-loop systems are under various conditions. The results demonstrate that the MRAPIDC performs significantly better than the conventional PI controller.

scholarly journals Spatial High Precision Scanning Control Method Based on Feedforward Closed-Loop Model Reference Adaptive

2022 ◽  
Vol 2148 (1) ◽  
pp. 012009
Author(s):  
Lanjie Guo ◽  
Hao Wang ◽  
Li Song
Keyword(s):  
High Precision ◽  
Closed Loop ◽  
Control Method ◽  
Scanning Speed ◽  
Optical Path Difference ◽  
Path Difference ◽  
Optical Path ◽  
Loop Model ◽  
Model Reference ◽  
Model Reference Adaptive

Abstract The time-modulated Fourier transform spectrometer realizes spectrum detection by scanning the optical path of the corner mirror. During the scanning process, the servo system is required to have high-precision and low-speed characteristics. Aiming at the fluctuation of scanning speed caused by spatial micro-vibration during scanning, a closed-loop model reference adaptive control algorithm based on feedforward is studied. The permanent magnet synchronous linear motor is used to drive the angle mirror to move back and forth along the guide rail to achieve large optical path and high-precision scanning with the maximum optical path difference of ± 34cm, the speed stability ≥ 99%.

scholarly journals Application of a New Model Reference Adaptive Control Based on PID Control in CNC Machine Tools

Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 274
Author(s):  
Hongdong Gai ◽  
Xuewei Li ◽  
Fangrui Jiao ◽  
Xiang Cheng ◽  
Xianhai Yang ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Pid Control ◽  
Control Method ◽  
Model Reference Adaptive Control ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Model Reference ◽  
Loop Control ◽  
Model Reference Adaptive ◽  
Following Error

To improve the control performance of the CNC machine tool feed servo system with nonlinear disturbances, a model reference adaptive control (MRAC) based on PID control is proposed. The method is based on the traditional three-loop control, the output signal of the speed loop controller is used as the input signal of the model reference adaptive controller, and the adaptive law is derived on the basis of Lyapunov stability theory. To verify the effectiveness, this paper analyzed the method through simulation and experiment. Results showed that the following error caused by nonlinear friction was significantly reduced when the speed was reversed, and the influence of noise and mechanical resonance was effectively suppressed. The proposed control method in this paper improves the motion-control accuracy and anti-interference ability of the control system.

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