scholarly journals EFFECT OF MOVING AVERAGE FILTER WITH PID CONTROLLER USING HIL TECHNIQUE

2021 ◽  
Vol 03 (03) ◽  
pp. 111-123
Author(s):  
Bilal A. MUBDIR

Designing fast response controller that can achieving steady state with minimum error is big challenge in control application. Proportional Integral Derivate (PID) controllers are conventional controllers for their simplicity and wide range of applications in industrial. Many efforts have been made in improving the PID controller performance by enhancing the controller with different techniques for tuning its operation or filtering the feedback signal. In this paper, the effect of using Moving Average filter with the PID controller for controlling the speed of Permanent Magnet DC (PMDC) Motor with noisy speed sensor is discussed. PID controller and the moving average filter are modeled in MATLAB/Simulink software, where the Hardware in the Loop (HIL) technique with aid of microcontroller was used for the controlled plant which is a PMDC motor in this study. Comprehensive study on the available techniques used to modeling the PID controller is done as well. Furthermore, full practical tests prove that the controller behavior is more stable when moving average filter used and its effect minimized time needed to reach the steady state point clearly by 76%.

2014 ◽  
Vol 116 ◽  
pp. 276-283 ◽  
Author(s):  
Naji Rajai Nasri Ama ◽  
Wilson Komatsu ◽  
Lourenco Matakas Junior

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3997 ◽  
Author(s):  
Tam Nguyen ◽  
Xiaoli Qin ◽  
Anh Dinh ◽  
Francis Bui

A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters. The approach is a two-pronged algorithm comprising (1) triangle template matching to accentuate the slope information of the R-peaks and (2) a single moving average filter to define a dynamic threshold for peak detection. The proposed algorithm was validated on eight ECG public databases. The obtained results not only presented good accuracy, but also low resource complexity, all of which show great potential for detection R-peaks in ECG signals collected from wearable devices.


2020 ◽  
Vol 206 ◽  
pp. 104354 ◽  
Author(s):  
Amir Ali Safaei Pirooz ◽  
Richard G.J. Flay ◽  
Lorenzo Minola ◽  
Cesar Azorin-Molina ◽  
Deliang Chen

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