KIFAHR: AI based Vertical Dynamics Control
In automotive applications, the goal of vertical dynamics design is to optimize the vehicle chassis suspension so that certain objectives, such as ride comfort and vehicle stability, are fulfilled. The main objective is the concurrent maximization of ride comfort for vehicle passengers and road holding of the tires. Novel control approaches are needed to achieve a higher degree of automation in the controller design process and various influencing factors such as variable loads, different road surfaces, tire types, tire pressures, and weather conditions should be considered. To achieve this goal, the suspension manufacturer KW automotive GmbH and DLR’s Vehicle System Dynamics department have teamed up in the KIFAHR project. During the project, the potential of intelligent learning methods, particularly reinforcement learning (RL), for controlling semi-active dampers in the chassis area was shown. Reinforcement learning methods represent a promising approach to learning the control law by means of automatized processes. Several publications have demonstrated the power of reinforcement learning in the field of control engineering mostly for active control variables. However, the usage of RL methods on semi-active vertical dynamics control systems is a new field in research.
KIFAHR: AI based Vertical Dynamics Control
KIFAHR: AI based Vertical Dynamics Control
In automotive applications, the goal of vertical dynamics design is to optimize the vehicle chassis suspension so that certain objectives, such as ride comfort and vehicle stability, are fulfilled. The main objective is the concurrent maximization of ride comfort for vehicle passengers and road holding of the tires. Novel control approaches are needed to achieve a higher degree of automation in the controller design process and various influencing factors such as variable loads, different road surfaces, tire types, tire pressures, and weather conditions should be considered. To achieve this goal, the suspension manufacturer KW automotive GmbH and DLR’s Vehicle System Dynamics department have teamed up in the KIFAHR project. During the project, the potential of intelligent learning methods, particularly reinforcement learning (RL), for controlling semi-active dampers in the chassis area was shown. Reinforcement learning methods represent a promising approach to learning the control law by means of automatized processes. Several publications have demonstrated the power of reinforcement learning in the field of control engineering mostly for active control variables. However, the usage of RL methods on semi-active vertical dynamics control systems is a new field in research.
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