Neuro-Fuzzy-based Improved IMC for Speed Control of Nonlinear Heavy Duty Vehicles
DOI:
https://doi.org/10.14429/dsj.66.9489Keywords:
Adaptive neuro-fuzzy inference system, improved internal model control, heavy duty vehicleAbstract
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.
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