EFFECTS OF SMALL TRAVEL SPEED VARIATIONS ON ACTIVE VIBRATION CONTROL IN MODERN VEHICLES

A stochastic optimal control procedure, based on a perturbation criterion, is developed to study effects of small travel speed variations on active suspensions of vehicles. The vehicle speed is regarded as an uncertain parameter that randomly varies around a measured (equilibrium) mean value. The approach here separates the active suspension forces into two control (laws) forces. The first force is termed steady (unperturbed) control force that isolates a vehicle body from a roadway disturbance and functions in large (mean) nominal speed variations starting from low to very high. The second force is termed a perturbation control force that accommodates changes in the steady force due to small speed variations. Eventually, after justifying the perturbation approach, it is shown how these two control forces could be combined to function only in terms of measured signals. The investigation is made of two different suspension structures for two levels of roadway roughness. Although the approach to the problem is approximate and needs perfect knowledge of all the state variables, the results show that there are noticeable variations to the steady control laws for even small deviations from nominal travel speed. In fact, the control procedure developed here as a design tool is meaningful since optimum vibration control problems are not easy to formulate when non-stationary random vibrations are considered. Also, it can be generalized with care to handle some parametric uncertainty problems.

[1]  G. V. Raju,et al.  Optimal estimation and control of non-stationary response of a two-degree-of-freedom vehicle model , 1991 .

[2]  Robert F. Harrison Optimal Control Of Vehicle Suspension Dynamics Incorporating Front-To-Rear Excitation Delays: An Approximate Solution , 1993 .

[3]  Dennis A. Guenther,et al.  Self-tuning optimal control of an active suspension , 1989 .

[4]  J. D. Robson,et al.  Response of an accelerating vehicle to random road undulation , 1971 .

[5]  Robert F. Harrison,et al.  NONSTATIONARY RESPONSE OF VEHICLES ON ROUGH GROUND--A STATE SPACE APPROACH , 1981 .

[6]  A. Hać SUSPENSION OPTIMIZATION OF A 2-DOF VEHICLE MODEL USING A STOCHASTIC OPTIMAL CONTROL TECHNIQUE , 1985 .

[7]  Dean Karnopp,et al.  Optimization of Active and Passive Suspensions Based on a Full Car Model , 1995 .

[8]  G. V. Raju,et al.  Stochastic optimal control of non-stationary response of a single-degree-of-freedom vehicle model , 1990 .

[9]  Kenneth N Naab,et al.  DRIVER ASSISTANCE SYSTEMS FOR LATERAL AND LONGITUDINAL VEHICLE GUIDANCE , 1994 .

[10]  Kazimierz Sobczyk,et al.  Response to profile-imposed excitation with randomly varying traversal velocity , 1977 .

[11]  G. V. Raju,et al.  Active Control of Non-stationary Response of Vehicles with Nonlinear Suspensions , 1992 .

[12]  E. M. Elbeheiry A METHOD FOR PREVIEW VIBRATION CONTROL OF SYSTEMS HAVING FORCING INPUTS AND RAPIDLY-SWITCHED DAMPERS , 1998 .

[13]  R Kashani,et al.  Robust Stability Analysis of LQG-Controlled Active Suspension with Model Uncertainty Using Structured Singular Value, μ, Method , 1992 .

[14]  Youngjin Park,et al.  STOCHASTIC OPTIMAL PREVIEW CONTROL OF AN ACTIVE VEHICLE SUSPENSION , 1999 .

[15]  Dean Karnopp,et al.  Advanced Ground Vehicle Suspension Systems - A Classified Bibliography , 1995 .

[16]  Hong Guan,et al.  Modelling of Driver/Vehicle Directional Control System , 1993 .

[17]  Davorin David Hrovat Applications of Optimal Control to Advanced Automotive Suspension Design , 1993 .

[18]  Jozsef Bokor,et al.  Design of Active Suspension System in the Presence of Physical Parametric Uncertainties , 1993, 1993 American Control Conference.

[19]  Über die Befreiung der Ansatzfunktionen des Galerkinschen Verfahrens bei nichtselbstadjungierten Rand- und Eigenwertaufgaben von den Randbedingungen , 1980 .

[20]  E. M. Elbeheiry,et al.  OPTIMAL CONTROL OF VEHICLE RANDOM VIBRATION WITH CONSTRAINED SUSPENSION DEFLECTION , 1996 .

[21]  Laura E. Ray,et al.  Robust Linear-Optimal Control Laws for Active Suspension Systems , 1992 .