Implementation of Human-Machine Interface Module and Control System Based on Controller Area Network

Implementation of Human-Machine Interface Module and Control System Based on Controller Area Network

DOI: 10.4018/978-1-6684-9267-3.ch014
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Abstract

The internet of things (IoT) has become a rapidly expanding technology, allowing for the connection and communication of various physical devices through a network. One of the commonly used communication protocols for such systems is the controller area network (CAN), which is often employed in industrial and automotive settings for distributed or real-time control. This research aims to propose a universal CAN bus with an IoT focus, which aims to establish a system that can connect and communicate with different devices using the CAN protocol, while also considering the unique requirements of IoT applications. To accomplish this, the study developed message-sending and message-receiving models for human-machine interaction which provide a full CAN communication simulation model. The simulation experiment shows that the IoT-centered network communication model created in this research not only consumes less power but also can address front-end compatibility issues resulting from various communication protocols.
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1. Introduction

The implementation of human machine interfaces (HMIs) and control systems based on controller area networks (CANs) has become increasingly important in the field of industrial automation (Natrayan L et al., 2020). HMIs are responsible for providing a user-friendly interface between the operator and the control system, while CANs are responsible for efficient communication between various devices in the system (Hagos 2016). In this research article, we present the design and implementation of an HMI module and control system based on CAN for industrial applications. The proposed system is evaluated and tested for its performance, stability, and reliability. The results show that the proposed system is able to provide a reliable and efficient communication between the operator and the control system, while also improving the overall performance of the system (Paranthaman et al., 2022). This article provides valuable insights for researchers and practitioners working in the field of industrial automation and control systems (Basagni et al. 2008).

Human machine interfaces (HMIs) and control systems based on controller area networks (CANs) have become increasingly important in the field of industrial automation. HMIs provide a user-friendly interface between the operator and the control system (Kumar MS et al., 2019), while CANs enable efficient communication between various devices in the system. In this literature review, we will discuss the current state of research on the implementation of HMIs and control systems based on CANs in industrial applications (Melia et al. 2007; Singh and Khilar 2017).

One of the key challenges in the implementation of HMIs is the need to provide a user-friendly interface that is easy to use and understand. This can be achieved through the use of graphical user interfaces (GUIs) that are designed to be intuitive and easy to navigate. Many researchers have proposed the use of various graphical tools and techniques to design and implement HMIs that are suitable for industrial applications (Meikandan et al., 2022). For example, some studies have proposed the use of virtual reality (VR) to create immersive and interactive HMIs that are more engaging and intuitive for the operator (J.M. et al. 2019).

Another important aspect of HMI design is the need to provide real-time information to the operator. This can be achieved through the use of various sensors and actuators that are integrated into the control system (Sundaram et al., 2019). Many researchers have proposed the use of various sensor technologies such as cameras, lidar, and ultrasonic sensors to provide real-time information about the system's status and performance (Nagarajan et al., 2022). Additionally, several studies have proposed the use of advanced control algorithms such as model predictive control (MPC) to improve the performance of the system and provide more accurate and responsive control (2020).

Communication is also a crucial part of any control system, and the use of CANs has been proposed as an efficient method for communication between various devices in the system. CANs are based on a bus architecture that allows multiple devices to communicate with each other using a shared communication channel (Natrayan, L., & Kumar, M. S. 2020). This can improve the overall performance of the system and reduce the complexity of the communication infrastructure. Many researchers have proposed the use of CANs in various industrial applications such as robotics, automation, and control systems (Ju and Wang 2022).

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