Issue |
E3S Web Conf.
Volume 190, 2020
1st International Conference on Renewable Energy Research and Challenge (ICoRER 2019)
|
|
---|---|---|
Article Number | 00020 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/202019000020 | |
Published online | 23 September 2020 |
Real-Time Implementation of Passive Fault-Tolerant Speed Control for Unloading MS150 DC Motor System
Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Jl. Teknik Kimia, Sukolio, Surabaya 60111, Indonesia
* Corresponding author: kindriawati@gmail.com
The failure of a DC motor in an electric car caused by an error in the actuator and sensor can endanger the driver and the surrounding environment. This research focuses on the design of a Passive Fault Tolerant Control (PFTC) system that can work when an actuator and sensor error occurs in the MS150 DC modular servo system speed control. The first step is to identify the MS150 DC modular servo system. The second step is to design a state feedback control system with an integrator. The third step is to design a simulation PFTC system and design a PFTC system to be implemented in realtime. To find out the performance of the designed PFTC system, a test is carried out with a bias error of about 0.1 V to 0.8 V. On the results of implementing the PFTC system in real-time on the simulation error, the maximum overshoot value is smaller than the system without PFTC, besides the application of AFTC causes the resulting settling time is smaller than the system without PFTC.
Key words: actuators / sensors / PFTC Systems / MS150 DC modular servo systems
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.