Model Predictive Control for Active Suspensions: Controller Design and Experimental Study

Gopalasamy, Srinivasan; Osorio, Carlos; Hedrick, Karl; Rajamani, Rajesh

doi:10.1115/imece1997-0462

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An overview of the history and industrial application of MPC is given in [78]. The first application of MPC to vertical vehicle dynamics control of which the authors are aware is presented in [79,80]. Robust MPC [81] and fast MPC [82,83] were applied later.…”

Section: Semi-active and Active Suspension Controlmentioning

confidence: 99%

Analysis of the Influence of Suspension Actuator Limitations on Ride Comfort in Passenger Cars Using Model Predictive Control

2020

View full text Add to dashboard Cite

Active suspension systems help to deliver superior ride comfort and can be used to resolve the objective conflict between ride comfort and road-holding. Currently, there exists no method for analyzing the influence of actuator limitations, such as maximum force and maximum rate of change, on the achievable ride comfort. This research paper presents a method that is capable of doing this. It uses model predictive control to eliminate the influence of feedback controller performance and to integrate both actuator limitations and necessary constraints on dynamic wheel-load variation and suspension travel. Various scenarios are simulated, such as driving over a speed bump and inner city driving, as well as driving on a country road and motorway driving, using a state-of-the-art quarter-car model, parameterized for a luxury class vehicle. It is analyzed how comfort, or in one scenario road-holding, can be improved with consideration for the actuator limitations. The results indicate that actuator rate limitation has a strong influence on vertical vehicle dynamics control system performance, and that relatively small maximum forces of around 1000 to 2000 N are sufficient to successfully reject disturbances from road irregularities, provided the actuator is capable of supplying the forces at a sufficiently high rate of change.

show abstract

Section: Semi-active and Active Suspension Controlmentioning

confidence: 99%

Analysis of the Influence of Suspension Actuator Limitations on Ride Comfort in Passenger Cars Using Model Predictive Control

2020

View full text Add to dashboard Cite

show abstract

Predictive Time-Delay Control of Vehicle Suspensions

Vahidi

Eskandarian

2001

Journal of Vibration and Control

View full text Add to dashboard Cite

A predictive control methodology is introduced for active vehicle suspension control, taking into account the effect of time delay as an inherent characteristic of active systems in the absence of preview information. In this method, at each time instant, the control signal is calculated by minimizing a perfor mance index, based on the predicted response in a finite prediction horizon. The discrete predictive method ology, compared with the widely used linear quadratic regulator method, is easier to formulate and results in a discrete-time control algorithm suitable for digital control, and time delays can be more easily introduced in the formulation. In this paper, predictive control simulation results are compared with passive control re sults. It is shown that this method is capable of improving ride performance of the single-degree-of-freedom quarter-car model for a wide range of input frequencies in the presence of time delay, while in the meantime it maintains the maximum suspension travel below the maximum of passively controlled suspensions.

show abstract

Influence of preview uncertainties in the preview control of vehicle suspensions

Vahidi

Eskandarian

2002

Proceedings of the Institution of Mechanical Engineers, Part K:

View full text Add to dashboard Cite

Active control of vehicle suspensions has long been known as an effective way of enhancing isolation of unwanted vibrations. It is further shown in the literature that obtaining 'preview' information of the 'future' road inputs will result in smoother control with less control effort. Most of these studies assume perfect preview measurements. This paper is a simulation analysis to verify if the bene ts of preview are valid in the presence of uncertainty. The optimal control scheme for preview control of a quarter-car suspension model is brie y presented, followed by numerical simulations. The analysis addresses two different possible sources of uncertainty in preview measurements. Comparison of the performance for various levels of uncertainty in the preview shows that noise/uncertainty can be an issue, with an adverse effect that sometimes increases with preview length. In other words, it is shown that controllers with longer preview can be more susceptible to noise. However, the limits of tolerable noise are not very restrictive, and the well-known bene ts of preview can still be achieved if the measurement errors are maintained below a limited level.

show abstract

Model Predictive Control for Active Suspensions: Controller Design and Experimental Study

Cited by 3 publications

References 0 publications

Analysis of the Influence of Suspension Actuator Limitations on Ride Comfort in Passenger Cars Using Model Predictive Control

Analysis of the Influence of Suspension Actuator Limitations on Ride Comfort in Passenger Cars Using Model Predictive Control

Predictive Time-Delay Control of Vehicle Suspensions

Influence of preview uncertainties in the preview control of vehicle suspensions

Contact Info

Product

Resources

About