EFFECT OF MOVING AVERAGE FILTER WITH PID CONTROLLER USING HIL TECHNIQUE

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%.

Digital Moving Average Filter Application for Echo Signals and Temperature

In this work, we propose a digital filter design, namely moving average filter (MAF) to be implemented on echo signal and temperature data. The echo signal data is obtained from the ultrasonic transducer, while the temperature data is obtained from the PI controller. The implementation of the moving average filter on the echo signal data will compare the second-order MAF and the fourth-order MAF. The results of the test show that the use of a digital filter makes the data smoother when compared to unfiltered data. Furthermore, the comparison of orders on the MAF filter has an impact on the filter response getting closer to the ideal characteristics if using a higher order.