Optimization of Global Chassis Control Variables
IFAC World Congress, Seoul, Korea2008The paper presents a global chassis control (GCC) optimization approach using a gradient-based optimal control algorithm. The goal is to find optimal actions of various actuators such as active steering and active differential, which ensure satisfying the optimization criterion (e.g. trajectory following error minimization) subject to different equality and inequality constraints on state and control variables. The optimization algorithm is based on an exact gradient method, where the cost function gradient is calculated by using a backpropagation-through-time-like algorithm. The proposed GCC optimization approach is illustrated on an example of double lane change maneuver using rear active steering and/or rear active differential actuators. optimal Control; automotive control systems
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IFAC World Congress, Seoul, Korea
2008
Cited by 9
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[2] Optimal control of automated transmission engagement process🔗International Conference on Computability and Complexity in Analysis, 2012
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[3] Optimization of control variables of a series-parallel hybrid electric power train🔗International Conference on Computability and Complexity in Analysis, 2012
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[4] Real-time vehicle navigation in unknown environment with obstacles using analytical fuzzy controller and potential field method🔗IEEE International Conference on Fuzzy Systems, 2012
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[6] A Conjugate Gradient-Based BPTT-Like Optimal Control Algorithm With Vehicle Dynamics Control Application🔗IEEE Transactions on Control Systems Technology, 2009
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[9] A conjugate gradient-based BPTT-like optimal control algorithm🔗2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC), 2009