Advances in Mechanical Engineering · 2018 · 16 citations · 15 references
EngineeringAutomotive EngineeringMechatronics EngineeringBrake SystemsMotor ControlNeural EngineeringDrive SystemsElectric Brake SystemsElectric Motor Drive SystemsElectromechanical SystemsNeural Control SystemsVehicle ControlBrake ControlBrake Control AlgorithmsBrake System DynamicsElectromechanical BrakingFuel EfficiencyFuel Efficiency ImprovementGenetic Algorithm OptimizationGenetic Algorithm Variable Selection
Recently, many mechanical components of vehicles are being replaced by electrical or electromechanical parts. This change leads to the reduced weight, higher fuel efficiency, and simpler diagnosis. In particular, a reliable and robust electromechanical brake control system has been focused. So, this article investigates that an application of brain limbic system–based control, a bio-inspired control strategy, to an electromechanical brake system is suitable for dynamic and uncertain driving conditions. To do this end, control parameters are optimized through genetic algorithm. Results show the effectiveness of the suggested control method in terms of control speed, reference tracking, and robustness to the disturbance.
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EMOTIONAL LEARNING: A COMPUTATIONAL MODEL OF THE AMYGDALA
Christian Balkenius, Jan Morén · Cybernetics & Systems · 2001 · 243 citations
PID-Controller Tuning Optimization with Genetic Algorithms in Servo Systems
Arturo Yosimar Jaen-Cuéllar, René de Jesús Romero-Troncoso, Luis Morales-Velázquez et al. · International Journal of Advanced Robotic Systems · 2013 · 116 citations · Full text
Engineering, Mechanical Engineering, Mechatronics Engineering +17