A Behavioral Study of Different Controllers and Algorithms in Real-Time Applications

Abstract

Systems, generally being nonlinear behaves unexpectedly due to external disturbances. Therefore, operation controllers are needed in tracking, chemical engineering, electrical engineering, and other areas. For continuing quality and productivity of industrial firms, the deployment of industrial robots is increasing. Different structures of fuzzy-Proportional Integral Derivative based trajectories for robot manipulators are designed, for various regular and irregular trajectories. Industrial robot’s performance is compared by Proportional Integral Derivative and Fuzzy- Proportional Integral Derivative controller. For tracking the peak power in a Photo Voltaic system, a nonlinear proportional–integral–derivative controller is applied for rapidly changing environmental conditions, particle swarm optimization based Nonlinear-PID, Maximum Power Point Tracking method offers a clean response for Maximum Power Point Tracking. To maintain constant frequency and power variations in power systems the freedom of a three-degree Proportional Integral Derivative controller was designed. For excitation control in Automatic Voltage Regulators, Proportional Integral Derivative and Proportional Integral Derivative -Acceleration controllers are used, Proportional Integral Derivative -Acceleration has more response speed and more stability and it has a good response time and response of frequency by implementing the Particle Swarms Optimization and Gravitational Search algorithm-based Proportional Integral Derivative controller Automatic Voltage Regulator’s voltage response is effective. This paper deals with studying the behavior of various controllers and algorithms in practical applications, comparative analysis of magnetic levitation system response with different controllers and algorithms, and finding the performance of magnetic levitation systems by using a Particle Swarm Optimization algorithm-based Proportional Integral Derivative controller.

KEYWORDS:

• Algorithms
• Controller
• Fuzzy
• Magnetic levitation
• Optimization
• Parameters

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

M. Maheedhar

M Maheedhar received the BTech from Jawaharlal Nehru Technological University, Anantapur, AP, India, 2017 and ME degree in energy engineering from Anna University, Chennai, India in 2019. Currently, pursuing PhD degree in Vellore Institute of Technology University (Deemed University), Chennai, India. Email: [email protected]

T. Deepa

T Deepa obtained BE degree in electrical and electronics engineering from Manonmanium Sundaranar University, Tirunelveli, India in 1999, ME degree in power systems from Anna University, Chennai, India in 2007 and PhD from Anna University, Chennai, India, 2014. Currently working in VIT University, Chennai. Her research areas are, control systems, intelligent controllers, fuzzy logic controller, sliding mode controller, optimization techniques, power electronics and electric vehicles. She published more than 20 research papers.