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ID149013
Title ProperNeuro-fuzzy-based improved imc for speed control of nonlinear heavy duty vehicles
LanguageENG
AuthorAnil Kumar Yadav, Prerna Gaur ;  Yadav, Anil Kumar ;  Gaur, Prerna
Summary / Abstract (Note)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.
`In' analytical NoteDefence Science Journal Vol. 66, No.6; Nov 2016: p.665-672
Journal SourceDefence Science Journal 2016-12 66, 6
Key WordsAdaptive Neuro-Fuzzy Inference System ;  Improved Internal Model Control ;  Heavy Duty Vehicle