Ieee transactions on control systems technology

Condition monitoring can reduce machine breakdown losses, increase productivity and operation safety, and therefore deliver significant benefits to many industries. The emergence of wireless sensor networks (WSNs) with smart processing ability play an ever-growing role in online condition monitoring of machines. WSNs are cost-effective networking systems for machine condition monitoring. It avoids cable usage and eases system deployment in industry, which leads to significant savings. Powering the nodes is one of the major challenges for a true WSN system, especially when positioned at inaccessible or dangerous locations and in harsh environments. Promising energy harvesting technologies have attracted the attention of engineers because they convert microwatt or milliwatt level power from the environment to implement maintenance-free machine condition monitoring systems with WSNs. The motivation of this review is to investigate the energy sources, stimulate the application of energy harvesting based WSNs, and evaluate the improvement of energy harvesting systems for mechanical condition monitoring. This paper overviews the principles of a number of energy harvesting technologies applicable to industrial machines by investigating the power consumption of WSNs and the potential energy sources in mechanical systems. Many models or prototypes with different features are reviewed, especially in the mechanical field. Energy harvesting technologies are evaluated for further development according to the comparison of their advantages and disadvantages. Finally, a discussion of the challenges and potential future research of energy harvesting systems powering WSNs for machine condition monitoring is made.

Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.

Explicit formula and graphs of few special functions are derived in the paper on the basis of various definitions of various fractional derivatives and various fractional integrals. Their applications are also reviewed in the paper.

/pdf/applications-of-fractional-calculus-1c2m93jo56.pdf

Applications of Fractional Calculus

Variable-order fractional operators were conceived and mathematically formalized only in recent years. The possibility of formulating evolutionary governing equations has led to the successful application of these operators to the modelling of complex real-world problems ranging from mechanics, to transport processes, to control theory, to biology. Variable-order fractional calculus (VO-FC) is a relatively less known branch of calculus that offers remarkable opportunities to simulate interdisciplinary processes. Recognizing this untapped potential, the scientific community has been intensively exploring applications of VO-FC to the modelling of engineering and physical systems. This review is intended to serve as a starting point for the reader interested in approaching this fascinating field. We provide a concise and comprehensive summary of the progress made in the development of VO-FC analytical and computational methods with application to the simulation of complex physical systems. More specifically, following a short introduction of the fundamental mathematical concepts, we present the topic of VO-FC from the point of view of practical applications in the context of scientific modelling.

https://royalsocietypublishing.org/doi/pdf/10.1098/rspa.2019.0498

Applications of variable-order fractional operators: a review

Internet of Things (IoT) constitutes the next step in the field of technology, bringing enormous changes in industry, medicine, environmental care, and urban development. Various challenges are to be met in forming this vision, such as technology interoperability issues, security and data confidentiality requirements, and, last but not least, the development of energy efficient management systems. In this paper, we explore existing networking communication technologies for the IoT, with emphasis on encapsulation and routing protocols. The relation between the IoT network protocols and the emerging IoT applications is also examined. A thorough layer-based protocol taxonomy is provided, while how the network protocols fit and operate for addressing the recent IoT requirements and applications is also illustrated. What is the most special feature of this paper, compared to other survey and tutorial works, is the thorough presentation of the inner schemes and mechanisms of the network protocols subject to IPv6. Compatibility, interoperability, and configuration issues of the existing and the emerging protocols and schemes are discussed based on the recent advanced of IPv6. Moreover, open networking challenges such as security, scalability, mobility, and energy management are presented in relation to their corresponding features. Lastly, the trends of the networking mechanisms in the IoT domain are discussed in detail, highlighting future challenges.

/pdf/network-protocols-schemes-and-mechanisms-for-internet-of-4bsu7d7ieu.pdf

Network Protocols, Schemes, and Mechanisms for Internet of Things (IoT): Features, Open Challenges, and Trends

Fractional-order Systems and PID Controllers: Using Scilab and Curve Fitting Based Approximation Techniques

Control of pH processes is highly challenging due to high nonlinearity and sensitivity around the equilibrium point. PID controllers being simple and the most widely used perform poorly with changing set-point and are limited to certain operating regions. Thus, they are inadequate for such applications without upgrading. In this paper, a fractional order set-point weighted PID (
 $$\mathrm {SWPI^{\lambda }D^{\mu }}$$
 ) controller is designed for pH neutralization process. The objective is to achieve adequate set-point tracking and effective load regulation through smooth control action. The controller parameters are tuned using accelerated particle swarm optimization which uses only global best position to achieve faster convergence. Simulation results show that for both standard and industrial configurations of the proposed approach, better performance in terms of set-point tracking, disturbance rejection and sensitivity to model parameter variation is achieved compared to PID, fractional order PID (
 $$\mathrm {PI^{\lambda }D^{\mu }}$$
 ) and SWPI-D.

Fractional Order Set-point Weighted PID Controller for pH Neutralization Process Using Accelerated PSO Algorithm

Application of Wireless Technology for Control

Solar Energy Harvester for Industrial Wireless Sensor Nodes

Control of real-time pressure process is quite challenging due to high nonlinearity and sensitivity. PID controllers being the most employed for industrial applications have the potential for control of such processes. This is due to the PID’s advantages of simple structure, ease of tuning and implementation. However, its performance degrades during set-point change and high external disturbances due to high sensitivity and nonlinearity of the pressure plant. Therefore, this paper proposes the two-degree-of-freedom fractional-order PID (2DOF–FOPID) controller for real-time control of pressure process in both parallel and series configurations. Furthermore, the controller parameters are obtained experimentally using Ziegler–Nichols and closed-loop set-point approaches. The controller has the advantages of improving set-point tracking and disturbance rejection performance through smoother control action over the conventional PID. From the real-time experimental results obtained, the proposed approach outperforms PID, fractional-order PID and 2DOF-PID controllers in terms of overshoot and settling time. Hence, the approach has better set-point tracking ability and disturbance rejection capability. Furthermore, the control action of the approach is less affected by undesired oscillations and derivative kick effect thereby extending the life of actuator.

Kishore Bingi

Papers

Fractional-order Systems and PID Controllers: Using Scilab and Curve Fitting Based Approximation Techniques

Fractional Order Set-point Weighted PID Controller for pH Neutralization Process Using Accelerated PSO Algorithm

Application of Wireless Technology for Control

Solar Energy Harvester for Industrial Wireless Sensor Nodes

Real-Time Control of Pressure Plant Using 2DOF Fractional-Order PID Controller