Abstract
An active vibration control approach from an online estimation perspective of unavailable feedback signals for a quarter-vehicle suspension system is introduced. The application of a new signal differentiation technique for the online estimation of disturbance trajectories due to irregular road surfaces and velocity state variables is described. It is assumed that position measurements are only available for active disturbance suppression control implementation. Real-time signal differentiation is independent of detailed mathematical models of specific dynamic systems and control force generation mechanisms. Active control forces can be supplied by electromagnetic or hydraulic actuators. Analytical and simulation results prove the effective and fast dynamic performance of the online signal estimation as well as a satisfactory active disturbance attenuation on a quarter-vehicle active suspension system.
Highlights
In vehicle dynamics, controlled mechanical suspension systems are used to isolate passengers from harmful vibrations to health, provoked commonly by uncertain irregular road disturbance forces, and contribute to achieve satisfactory handling performance indicators like a suitable contact between the tire and road surface and stable vehicle guidance
Some computer simulations are described to show the effectiveness of the online estimation of irregular road disturbance trajectories based on signal differentiation and differential flatness
Uncertain exogenous motion excitations due to irregular road surfaces are generated by Equation (29) [10]
Summary
In vehicle dynamics, controlled mechanical suspension systems are used to isolate passengers from harmful vibrations to health, provoked commonly by uncertain irregular road disturbance forces, and contribute to achieve satisfactory handling performance indicators like a suitable contact between the tire and road surface and stable vehicle guidance. Information about real-time disturbance (signal) forces can be employed for synthesis of closed-loop control systems to get a very good dynamic performance in active vibration control of flexible mechanical systems. Estimates of disturbances and time derivatives of signals are used for differential flatness-based control implementation for active perturbation suppression on quarter-vehicle active suspension systems. The signal differentiation algorithm is independent of mathematical models of specific vibrating systems and actuator dynamics In this fashion, the signal differentiation can be directly implemented on diverse configuration of vehicle suspensions and other applications of magnetic actuators where time derivatives are required. Analytical and numerical results evidence a very good efficacy of the presented disturbance signal estimation method to be used like an alternative in active vibration control implementations to suppress forced oscillations in differential flat vibrating mechanical systems
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