Sky-hook Algorithm
Sky-hook Algorithm - Related Videos
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FAQs
The controller combines the measured velocity of the sprung body with the relative velocity across the suspension. These signals indicate whether the controllable suspension force can oppose the body’s motion. When that opposition is useful, the system increases damping; when it would not help, it reduces damping. This signal-based decision links sensor measurements directly to motion reduction.
High damping is selected when the suspension force can counteract unwanted body motion, while lower damping is chosen when stronger resistance would not provide that benefit. This conditional behavior avoids applying the same damping level continuously. As a result, the suspension can limit bounce, vibration, and acceleration without unnecessarily restricting suspension movement.
Sprung-body velocity and suspension-relative velocity are the central measured variables. Body velocity indicates the motion that the control strategy seeks to reduce, while relative velocity describes motion across the suspension. Their relationship determines whether damping should be raised or lowered. Accurate use of these measurements therefore affects motion control, suspension travel, and tire contact.
The strategy does not pursue body-motion reduction independently of the suspension’s mechanical behavior. By increasing damping only when the resulting force can oppose body motion, and lowering it otherwise, the controller supports reduced bounce and acceleration while preserving suspension travel and tire contact. This balance makes the approach useful when ride quality and wheel-ground interaction must both be considered.
A practical implementation measures sprung-body velocity and relative velocity across the suspension, provides those signals to a controller, and uses the controller’s decision to command a variable damper or actuator. The control logic then selects higher or lower damping according to the direction of the available suspension force. This creates a real-time mechatronic control loop.
Engineers apply the method when vehicle or machinery motion includes unwanted bounce, vibration, or acceleration and the suspension can be adjusted during operation. It is relevant to semi-active suspension design and ride-quality optimization, particularly where maintaining suspension travel and tire contact matters. The same control concept also supports vibration-isolation applications involving real-time adjustable damping.
Testing can examine changes in body bounce, vibration, and acceleration, along with whether suspension travel and tire contact are preserved. These outcomes show how effectively the controller converts sensor information into useful damping changes. In engineering studies, the measurements help assess ride-quality optimization, vibration isolation, and the behavior of the real-time mechatronic control system.