Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Paper
Publisher : 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)
Source : 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), Chennai, India, 2017
Url : https://ieeexplore.ieee.org/document/8089200
ISBN : 9781509059058
Keywords : closed loop systems, control system synthesis, fine tuning method, Fuzzy control, Fuzzy logic, hip, Niobium, optimisation, Optimization, performance optimization, PI control, PID Controller, PID controllers, Process control, Relay auto tuning, Relays, three-term control, Tuning, Ziegler Nichols closed loop method
Campus : Amritapuri
School : School of Engineering
Center : Electronics Communication and Instrumentation Forum (ECIF)
Department : Electrical and Electronics, Electronics and Communication
Year : 2017
Abstract : The controllers extensively used in the control industry are of the PID type. The performance of these controllers depends on the values of the Proportional, Integral and Derivative, (P, I and D) parameters. Tuning of these parameters is a tedious task which requires experience and expert knowledge of the calibration engineer. This paper proposes a fine tuning method for these parameters using fuzzy logic. The PID Controller is initially tuned using Ziegler Nichols Closed Loop method and Relay auto tuning and then finely tuned using fuzzy logic. The output response is drastically improved when fuzzy logic is used for fine tuning and the results validating the same are simulated using MATLAB/Simulink.
Cite this Research Publication :
S. M. Sam and T. S. Angel, “Performance optimization of PID controllers using fuzzy logic”, in 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), Chennai, India, 2017