Particle swarm optimization tuned cascade control system in an Internet of Things (IoT) environment

Sangeetha, A.; Bharathi, N.; Ganesh, A. Balaji; Radhakrishnan, T. K.

doi:10.1016/j.measurement.2017.12.014

Cited by 29 publications

(16 citation statements)

References 31 publications

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“…Song et al 16 applied the technique of edge computing that would promote a variety of intelligent applications, which were impractical in the past because of the network bandwidth and transmission delays, such as real-time control in smart and connected communities and cities. Lakshmi et al 18 proposed a cascade control system to function in IoT circumstances without any application of a particular instrument server. It cascades level and flow processes individually by implementing particle swarm-optimized (PSO) PID controllers.…”

Section: Background Information Regarding Existing Approaches In Oimentioning

confidence: 99%

A smart‐integrated IoT module for intelligent transportation in oil industry

Priyanka

Chenniappan

Thangavel

2020

Int J Numerical Modelling

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Apart from being fundamental in industry 4.0, IoT also extends its capability to smart transportation in an oil pipeline system. The initiation of the Internet of Things has witnessed incredible success in the application of wireless sensor networks and ubiquitous computing for various smart-control applications. In the oil industry, for smooth, accident-less, long-range pipeline transportation, data communication through wireless sensor networks plays a predominant role in IoT. For the prominent integration with the internet, it is essential to fabricate a middleware by overcoming the shortcomings like interoperability and heterogeneity. But yet there is no compact, integrated IoT module with power and energy-efficient configuration to take the modern technology to the next level of innovation of wireless network systems with embedded sensors in the oil industry. Hence, this paper presents a novel, unique-integrated compact, smart IoT module that aims at reducing costs associated with commercial data loggers and sensing modules, requiring control and data storage that need proprietary software. Other usual drawbacks of commercial solutions are limited sensor connections with low expansion flexibility and maintenance restricted to the manufacturer and long cable communication distances. The proposed integrated smart IoT module operation relies on free software, allowing online distribution and communication with a cloud server wirelessly via Wi-Fi through message queuing telemetry transport (MQTT) and hypertext transfer protocol (HTTP) for efficient data communication. A secured highlevel engineering web page called Web Monitor was developed for online data analysis with real-time monitoring and control to afford intelligent transportation in oil pipelines. Further, in this work, the real-time validation of the proposed smart IoT module performance in the oil pipeline during abnormal circumstances is also provided. Through this integrated IoT module, the entire oil pipeline network with each substation can be interconnected and controlled beneficial with its intelligence, low cost, and portability.

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Section: Background Information Regarding Existing Approaches In Oimentioning

confidence: 99%

A smart‐integrated IoT module for intelligent transportation in oil industry

Priyanka

Chenniappan

Thangavel

2020

Int J Numerical Modelling

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“…To overcome these issues, Internet of Things (IoT) was introduced in agriculture, which helps to interconnect heterogeneous devices. IoT techniques also act as a platform to access and control devices from remote places at any time 9 . Because of ease of use, low cost, compatibility, quality of service, IoT techniques are applied in different application such as home automation, health care monitoring, smart city application, industrial automation, environment monitoring, cattle management, and agriculture 10‐12 .…”

Section: Introductionmentioning

confidence: 99%

“…IoT techniques also act as a platform to access and control devices from remote places at any time. 9 Because of ease of use, low cost, compatibility, quality of service, IoT techniques are applied in different application such as home automation, health care monitoring, smart city application, industrial automation, environment monitoring, cattle management, and agriculture. [10][11][12] Through improved operational efficiencies as well as new revenue creating products and services, by the year 2025, the potential economic impact of the IOT is estimated to be $2.7 to $6.2 trillion per year.…”

Section: Introductionmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT-based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed. Trans Emerging Tel Tech. 2020;31:e3958. wileyonlinelibrary.com/journal/ett Atzori et al 16 presented a survey on IoT techniques. In this article, the architecture, applications, and challenges of IoT technologies were discussed. Various environmental and agricultural monitoring applications were discussed. Zhang et al 17 projected various agricultural data transmission methods in his review article, namely, voice information transmission, short message service (SMS) information transmission, online information transmission, video conference information transmission, and multichannel-based information transmission techniques. Case studies, features, applications, examples, and limitations of various information transmission techniques were discussed. Kamilaris et al 18 projected survey on big data analysis in agriculture. In this article, 34 agriculture works were considered for the study and different features such as tools applied, big data algorithm used, problem and proposed solution implemented, and data used were discussed. The type of plants and experimental duration and advantages and limitation of algorithms were missing. Talavera et al 14 reviewed IoT applications in environment and agroindustrial system. The authors discussed about various IoT techniques involved in monitoring, communication, logistics, energy and resource management in environment monitoring, and agroindustrial system. In this study, the authors approached all the IoT techniques with following two questions: what is the primary technical solution of IoT in environmental monitoring and agroindustrial system and which methodology and IoT components such as sensors, actuato...

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“…For example, the calibration of cascade control systems is a cumbersome task for nonlinear systems, specifically before hard nonlinearities [28]. In the last two decades, nature-inspired metaheuristic algorithms were designed and implemented to tackle complex optimization problems and to provide a set of quasi-optimal solutions [29]. The advantages of swarm intelligence motivated the use of these methods in order to improve the tuning of P-PI cascade controllers' parameters on the basis of DT.…”

Section: Introductionmentioning

confidence: 99%

Digital twin-based Optimization on the basis of Grey Wolf Method. A Case Study on Motion Control Systems

Haber

Strzelczak

Miljković

et al. 2020

2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)

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Nowadays, digital twins are fostering the development of plug, simulate and optimize behavior in industrial cyber-physical systems. This paper presents a digital twin-based optimization of a motion system on the basis of a grey wolf optimization (GWO) method. The digital twin of the whole ultraprecision motion system with friction and backlash including a P-PI cascade controller is used as a basement to minimize the maximum position error. The simulation study and the real-time experiments in trajectory control are performed to compare the performance of the proposed GWO algorithm and the industrial method called Fine tune (FT) method. The simulation study shows that the digital twin -based optimization using GWO outperformed FT method with improvement of 66.4% in the reduction of the maximum position error. The real-time experimental results obtained show also the advantage of GWO method with 18% of improvement in the maximum peak error and 16% in accuracy.

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Particle swarm optimization tuned cascade control system in an Internet of Things (IoT) environment

Cited by 29 publications

References 31 publications

A smart‐integrated IoT module for intelligent transportation in oil industry

A smart‐integrated IoT module for intelligent transportation in oil industry

Systematic review of Internet of Things in smart farming

Digital twin-based Optimization on the basis of Grey Wolf Method. A Case Study on Motion Control Systems

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