Journal
APPLIED SCIENCES-BASEL
Volume 10, Issue 14, Pages -Publisher
MDPI
DOI: 10.3390/app10144696
Keywords
fault detection; CIM; IIoT; Multi-tank system; PID; FGS-PID; SCADA
Categories
Funding
- research direction of Universidad Catolica de Cuenca through the project Low cost advanced automation through equipment overhauling in classic industrial environments
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This paper presents a performance evaluation of the development of the instrumentation, communications and control systems of a two-tank process by using low-cost hardware and open source software. The hardware used for automating this process consists of embedded platforms (Arduino and Raspberry Pi) integrated into programmable logic controllers (PLCs), which are connected to a supervisory control and data acquisition (SCADA) system implemented with an open source Industrial Internet of Things (IIoT) platform. The main purpose of the proposed approach is to evaluate low-cost automation solutions (hardware and software) within the framework of modern industry requirements in order to determine whether these technologies could be enabling factors of IIoT. The proposed control strategy for regulating tank levels combines the classic PID algorithm and the fuzzy gain scheduling PID (FGS-PID) approach. Fault detection capabilities are also enabled for the system through a fault detection and diagnosis module (FDD) implemented with an extended Kalman filter (EKF). The distributed controller's (DC) algorithms are embedded into the PLC's processors in order to demonstrate the flexibility of the proposed system. Additionally, a remote human to machine interface (HMI) is deployed through a web client of the IIoT application. Experimental results show the proper operation of the overall system.
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