Abstract
Edge computing reduces latency, energy overhead and communication bandwidth bottlenecks. In this paper, a designed Proportional-Integrator (PI) motion controller for a Permanent Magnetic DC (PMDC) motor is integrated with IoT technology. This controller receives the preferred speed from the cloud, performs all necessary computation at Edge Level, derives actions and sends both output (real) speed and Integral Absolute Error (IAE) performance index (as an indication of controller performance) to the cloud. Firstly, both system identification and PI controller tuning are performed with the help of MATLAB Simulink and MATLAB support package for ARDUINO. ARDUINO Mega development board is used to implement the controller. An inbuilt PYTHON program in Raspberry Pi 3 is used as a software Gateway to enable receiving/sending data between the controller and the cloud (ThingSpeak.com IoT platform in our case). However, all necessary computations are intended to take place at Edge level only and this is for the tasks of improving latency, power consumption and bandwidth. Gateway level is used to gather the data coming from Edge level and send it to Cloud level; it is also used to send the data coming from Cloud level to the Edge level. Cloud level is the user interface to the system and enables him to control the speed and receive the controller working performance. An integrated work is the main contribution of current paper in which an attempt to construct a link between research works in both control systems and industrial IoT fields.
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Soliman, W.G., Reddy, D.V.R.K. (2019). Microprocessor Based Edge Computing for an Internet of Things (IoT) Enabled Distributed Motion Control. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_3
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