scholarly journals Sky-Hook Control and Kalman Filtering in Nonlinear Model of Tracked Vehicle Suspension System

2017 ◽  
Vol 11 (3) ◽  
pp. 222-228 ◽  
Author(s):  
Andrzej Jurkiewicz ◽  
Janusz Kowal ◽  
Kamil Zając
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Control Strategy ◽  
Ride Comfort ◽  
Logarithmic Spiral ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Tracked Vehicle ◽  
Stiffness Characteristic ◽  
Vehicle Suspension System

AbstractThe essence of the undertaken topic is application of the continuous sky-hook control strategy and the Extended Kalman Filter as the state observer in the 2S1 tracked vehicle suspension system. The half-car model of this suspension system consists of seven logarithmic spiral springs and two magnetorheological dampers which has been described by the Bingham model. The applied continuous sky-hook control strategy considers nonlinear stiffness characteristic of the logarithmic spiral springs. The control is determined on estimates generated by the Extended Kalman Filter. Improve of ride comfort is verified by comparing simulation results, under the same driving conditions, of controlled and passive vehicle suspension systems.

Extended Kalman Filter in 2S1 Tracked Vehicle System with Hybrid Control

2016 ◽  
Vol 248 ◽  
pp. 69-76 ◽  
Author(s):  
Andrzej Jurkiewicz ◽  
Janusz Kowal ◽  
Kamil Zając
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Ride Comfort ◽  
Hybrid Control ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Hyperbolic Model ◽  
Linear Filter ◽  
Tracked Vehicle ◽  
Active Structure

The essence of the undertaken topic is the problem of estimation of state vector in the model of 2S1 tracked vehicle suspension system through the use of Extended Kalman Filter. The use of non-linear filter has become necessary due to the magnetorheological damper located at suspension system, which has been described by hyperbolic model. Application of the damper caused the tested suspension system has become a semi-active structure in which the hybrid control was applied. The choice of this type of control stems from the fact that in the case of tracked combat vehicles in addition to the advantageous conditions of work of vehicle crew also cornering stability and the possibility of sudden acceleration or braking is important. The hybrid control allows to determine a compromise between ride comfort and stability of 2S1 platform.

Extended Kalman Filter for Vehicle Suspension System

2014 ◽  
Vol 573 ◽  
pp. 317-321 ◽  
Author(s):  
K. Rajeswari ◽  
Anjali
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Ride Comfort ◽  
Active Suspension ◽  
Measurement Model ◽  
Suspension System ◽  
Vertical Acceleration ◽  
Hydraulic Actuator ◽  
Actuator Dynamics ◽  
Vehicle Suspension System

This paper presents an estimator for a nonlinear active suspension system considering the hydraulic actuator dynamics. PID controller is used to control the Active suspension system of nonlinear quarter car model. Extended Kalman filter is designed to estimate the states from the measurement model perturbed with noise. Simulation results demonstrate the effectiveness of the PID based active suspension system in reducing the vertical acceleration transmitted to the passengers thereby improving the ride comfort. Also the effectiveness of the Extended Kalman filter in estimating the actual vehicle states is demonstrated.

scholarly journals Enhancing vehicle suspension system control performance based on the improved extension control

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401877386 ◽  
Author(s):  
Hongbo Wang
Keyword(s):  
Fuzzy Control ◽  
System Performance ◽  
Ride Comfort ◽  
Control Method ◽  
Domain Boundary ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Classical Domain ◽  
Vehicle Suspension System ◽  
Takagi Sugeno

Vehicle suspension system is the key part in vehicle chassis, which has influence on the vehicle ride comfort, handling stability, and security. The extension control, which is not constrained by common control method, could further improve the suspension system performance. The 7 degree-of-freedom suspension model is built. The extension controller is designed according to the function differences. In different extension set domains according to the correlation function, the corresponding control strategy is designed to ensure the suspension system obtains optimal performance in the classical domain and expands the controllable range outside the classical domain as large as possible. By adopting game theory, the domain is optimally divided, and the domain boundary control jump is smoothed by introducing Takagi–Sugeno–Kang fuzzy control into the extension control. Through the simulation and results comparison, it is demonstrated that the extension control could further improve the vehicle ride comfort than the optimal control and the extension control ability can be further promoted through domain game and Takagi–Sugeno–Kang fuzzy control. The analysis of the influence of the extension controller parameter varieties on suspension system performance shows that the error-weighted coefficient and control coefficient have significant effect to the suspension system performance.

Optimized Fractional-Order Proportional Integral Derivative Controller for Active Vehicle Suspension System Performance Enhancement

2018 ◽  
Vol 10 (4) ◽  
Author(s):  
A.S. Emam ◽  
H. Metered ◽  
A.M. Abdel Ghany
Keyword(s):  
Fractional Order ◽  
Performance Enhancement ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Vehicle Stability ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Vehicle Suspension System

In this paper, an optimal Fractional Order Proportional Integral Derivative (FOPID) controller is applied in vehicle active suspension system to improve the ride comfort and vehicle stability without consideration of the actuator. The optimal values of the five gains of FOPID controller to minimize the objective function are tuned using a Multi-Objective Genetic Algorithm (MOGA). A half vehicle suspension system is modelled mathematically as 6 degrees-of-freedom mechanical system and then simulated using Matlab/Simulink software. The performance of the active suspension with FOPID controller is compared with passive suspension system under bump road excitation to show the efficiency of the proposed controller. The simulation results show that the active suspension system using the FOPID controller can offer a significant enhancement of ride comfort and vehicle stability.

Sign in / Sign up

Export Citation Format

Share Document