Karush-Kuhn-Tuckert based global optimization algorithm design for solving stability torque allocation of distributed drive electric vehicles

DOI10.1016/J.JFRANKLIN.2017.10.005zbMath1380.49032OpenAlexW2766287241MaRDI QIDQ682689

Xudong Zhang, Wei Zheng, Dietmar Göhlich

Publication date: 5 February 2018

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.10.005

zbMATH Keywords

nonlinear objective functiondistributed drive electric vehicles (DDEVs)Karush-Kuhn-Tuckert (KKT) based global optimization algorithmstability performancetire grip margintorque allocation

Mathematics Subject Classification ID

Numerical methods based on necessary conditions (49M05) Applications of optimal control and differential games (49N90) Nonlinear systems in control theory (93C10)

Related Items (2)

Integrated design of control allocation and triple-step control for over-actuated electric ground vehicles with actuator faults ⋮ Decentralized integration of constrained active steering and torque vectoring systems to energy-efficient stability control of electric vehicles

Uses Software

• Simulink
• Carsim

Cites Work

• Control allocation -- a survey
• Generalized convexity and vector optimization.
• Quantized ℋ∞ Filtering for Continuous-Time Markovian Jump Systems with Deficient Mode Information
• Integral Galois module structure for elementary abelian extensions with a Galois scaffold
• model reduction for continuous-time Markovian jump systems with incomplete statistics of mode information

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