Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop

DOI10.1016/j.jfranklin.2016.02.018zbMath1347.93105OpenAlexW2300322103MaRDI QIDQ327979

Puneet Mishra, K. P. S. Rana, Vineet Kumar

Publication date: 20 October 2016

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.02.018

zbMATH Keywords

cascade control loopfractional order fuzzy PD and PI controllershybrid electric vehiclemulti objective genetic algorithmrobust speed control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Application models in control theory (93C95)

Related Items (10)

Network-based PI control for output tracking of continuous-time systems with time-varying sampling and network-induced delays ⋮ Fractional Tikhonov regularization method in Hilbert scales ⋮ Chimp optimization‐based fuzzy controller for hybrid electric vehicle speed control using electronic throttle plate ⋮ Data-driven energy-efficient speed planning and adaptive car-following control for commuter plug-in hybrid electric vehicles ⋮ Comparative Study on Fractional Order PID and PID Controllers on Noise Suppression for Manipulator Trajectory Control ⋮ Grey Predictor Assisted Fuzzy and Fractional Order Fuzzy Control of a Moving Cart Inverted Pendulum ⋮ Nonlinear adaptive fractional order fuzzy PID control of a 2-link planar rigid manipulator with payload ⋮ Design of a pseudo-\(PD\) or \(PI\) robust controller to track \(C^2\) trajectories for a class of uncertain nonlinear MIMO systems ⋮ Robust fractional-order PID controller tuning based on Bode's optimal loop shaping ⋮ Trajectory tracking of a class of uncertain systems applied to vehicle platooning and antenna scanning systems

Uses Software

• LabVIEW

Cites Work

• Fuzzy control theory: A nonlinear case
• Design and analysis of a fuzzy proportional-integral-derivative controller
• An Introduction to Fractional Control

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