Performance Comparison of ANFIS, FOPID-PSO and FOPID-Fuzzy Tuning Methodology for Optimizing Response of High-Performance Drilling Machine

Abstract

A fractional-order proportional integral derivative (FOPID)controller has replaced the classical PID controller used in industries for process control application. FOPID is less sensitive to the change of control parameters than PID Controller, due to which better results are obtained. The FOPID provides a robust and stable system for a higher-order system as of iso- damping property. This study aims to find a stable and controlled structure by tuning the FOPID controller with the Particle Swarm Optimization (PSO) algorithm, fuzzy-based logic approach, and Adaptive Neuro-fuzzy inference system (ANFIS). The tuning of FOPID is done to overcome deficits of PID controller using the different types of optimization method to overcome large overshoot and large settling time. This paper presented useful techniques based on PSO, fuzzy logic, and ANFIS to optimize FOPID controlled high-performance drilling machines. On the analysis and comparisons of simulation findings, it is observed that the FOPID-PSO approach provides better performance over the Ziegler-Nichols (ZN)-FOPID and the above-mentioned intelligent techniques in terms of less settling time (t_s=0.823sec.) & optimized peak overshoot (M_p=2.44%) for the mentioned target.

Keywords:

• ANFIS
• Fuzzy logic
• High-Performance drilling machine
• FOPID
• PSO
• ZN

Acknowledgments

The authors appreciate the organizers of SPIN-2020, the opportunity to the authors for submitting the extended to provide version of paper ID-608(https://ieeexplore.ieee.org/xpl/conhome/9055889/ proceeding) in IETE Journal of Research.

Additional information

Notes on contributors

Arti Saxena

Arti Saxena awarded BE and Master's from JEC, Jabalpur, in 2001 and HBTI, Kanpur in 2013, respectively. She is currently pursuing her PhD from AKTU, Lucknow. Her current research interest includes drilling machine, optimization algorithms, and control systems. She worked as an HoD, ECE in PSITcoe from 2010 to 2019. Presently, she is working as an assistant professor in ECE, PSIT College of Engineering, Kanpur. Her contribution to Academics is more than 19 years. She is the life time member of the Institute of Engineers, India (IEI). Corresponding author. Email: [email protected]

Y.M. Dubey

Y M Dubey received PhD on the topic “Emergence of wet soil electronics circuit technology and its novel applications” from Rani Durgavati Vishwavidyalaya, Jabalpur. His current research interest includes control systems and smart sensors. Presently, he is working as a professor in ECE, PSIT Kanpur His academic experience as a principal, head of Department & in charge of Academics is more than 20 years'. Email: [email protected]

Manish Kumar

Manish Kumar received master's degree from IISc, Bangalore, in 2003. He was awarded PhD in “Realization of Some Novel Active Circuits” from the Department of ECE, JIIT, Noida, in 2012. His current research interest includes IoT, control systems, and machine learning. Presently, he is serving in ECE, PSIT Kanpur. His contribution to academics is more than 15 years. He has published more than 20 research papers and six patents. Email: [email protected]

Abneesh Saxena

Abneesh Saxena was awarded BE(ECE) from MPCT, Gwalior, in 2000. He is currently serving at OFC (Ministry of Defence) as a works manager. He has got vast and valuable 18 years of experience in defence manufacturing industry. Email: [email protected]