Soft Computing Based Adaptive Error Optimisation for Control of Nonlinear System

Ashwani Kharola and Pravin P. Patil
Additional contact information
Ashwani Kharola: Graphic Era University, Dehradun, India
Pravin P. Patil: Department of Mechanical Engineering, Graphic Era University, Dehradun, India

International Journal of Energy Optimization and Engineering (IJEOE), 2017, vol. 6, issue 3, 78-96

Abstract: This paper elaborates a novel hybrid learning approach for training error optimisation and control of highly dynamic triple-link inverted pendulum on cart. The study demonstrates a relationship between shape and number of membership functions (MFs) of both linear and constant type to determine training error tolerance of ANFIS controller. The results are plotted which clearly highlighted supremacy of constant type three triangular shape MFs. Mathematical model and simulink of proposed system has also been analysed. The learning ability and designing methodology of adaptive networks and robustness of PID controllers are briefly described. Finally, the study illustrates an offline mode comparison of PID based ANFIS and Neural controllers in terms of settling time, steady state error and overshoot.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEOE.2017070104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jeoe00:v:6:y:2017:i:3:p:78-96

Access Statistics for this article

International Journal of Energy Optimization and Engineering (IJEOE) is currently edited by Jose Marmolejo-Saucedo

More articles in International Journal of Energy Optimization and Engineering (IJEOE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().