Neuro-Fuzzy-based Improved IMC for Speed Control of Nonlinear Heavy Duty Vehicles

Anil Kumar Yadav; Prerna Gaur

doi:10.14429/dsj.66.9489

Anil Kumar Yadav Department of Electronics, Banasthali Vidyapith, Tonk
Prerna Gaur Division of ICE, Netaji Subhas Institute of Technology, Delhi University, New Delhi

DOI: https://doi.org/10.14429/dsj.66.9489

Keywords: Adaptive neuro-fuzzy inference system, improved internal model control, heavy duty vehicle

Abstract

A neuro-fuzzy based improved internal model control (I-IMC) is proposed for speed control of uncertain nonlinear heavy duty vehicle (HDV) as the standard IMC (S-IMC) can’t tackle the nonlinear systems effectively and degrades the performance of HDV system. Adaptive neuro-fuzzy inference system and artificial neural network with adaptive control are used for the design of I-IMC. The proposed control techniques are developed to achieve the better speed tracking performance and robustness of HDV system under the influence of road grade disturbance.

Author Biographies

Anil Kumar Yadav, Department of Electronics, Banasthali Vidyapith, Tonk

Mr Anil Kumar Yadav received his BTech (Electronics and Instrumentation Engineering) from Uttar Pradesh Technical University, Lucknow, in 2007 and MTech from Netaji Subhas Institute of Technology (NSIT), Delhi University, Delhi, in 2010 and currently pursuing his PhD from NSIT. Currently working as an Assistant Professor at Banasthali Vidyapith, Tonk, Rajasthan, India. His research interests include: AI based control and nonlinear control system.

Prerna Gaur, Division of ICE, Netaji Subhas Institute of Technology, Delhi University, New Delhi

Dr Prerna Gaur received her BTech and MTech from G.B. Pant College of Technology, Uttaranchal and Delhi College of Engineering, Delhi University, in 1988 and 1996, respectively. She is PhD in the field of AI based Motion Control of PMSM. Currently she is working as a Professor in the Instrumentation and Control Engineering Division at Netaji Subhas Institute of Technology, Delhi University.