IoT Predictive Application for DC Motor Control using Radio Frequency links
Mediterranean Microwave Symposium(2017)
Abstract
The Internet of things (IoT) becomes a new solution for the future industry. It aims to provide an intelligent environment to control systems in real time. We propose an embedded predictive application in the Wireless Networked Control Systems (W-NCS) to control a DC motor via RF links, under the presence of packet losses and limited size constraint of transmitted packets in the communication channel. To design an IoT predictive application in W-NCS, a Model Predictive Control (MPC) method is proposed. This strategy is developed and implemented in the embedded device by using the RIOT OS which granted maintenance costs of IoT products and offers a real-time support in the control of the systems. The proposed approach is tested in a wireless environment with an intention to be applied to tackle the problem of communication. The practical experiment results obtained demonstrate the effectiveness of the Networked Predictive Control (NPC) approach based on the W-NCS structure for this kind of problems.
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Key words
IoT Predictive application,radio frequency links,intelligent environment,embedded predictive application,W-NCS,RF links,packet losses,limited size constraint,transmitted packets,IoT predictive application,embedded device,RIOT OS,communication channel,Internet of things,wireless networked control systems,networked predictive control approach,model predictive control method,DC motor control
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