scholarly journals Differential Evolution-Based PID Control of Nonlinear Full-Car Electrohydraulic Suspensions

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Jimoh O. Pedro ◽  
Muhammed Dangor ◽  
Olurotimi A. Dahunsi ◽  
M. Montaz Ali
Keyword(s):  
Differential Evolution ◽  
Pid Control ◽  
Force Feedback ◽  
Ride Comfort ◽  
Controller Design ◽  
Suspension System ◽  
Superior Performance ◽  
Vehicle Suspension ◽  
Pid Controller Design ◽  
Vehicle Suspension System

This paper presents a differential-evolution- (DE-) optimized, independent multiloop proportional-integral-derivative (PID) controller design for full-car nonlinear, electrohydraulic suspension systems. The multiloop PID control stabilises the actuator via force feedback and also improves the system performance. Controller gains are computed using manual tuning and through DE optimization to minimise a performance index, which addresses suspension travel, road holding, vehicle handling, ride comfort, and power consumption constraints. Simulation results showed superior performance of the DE-optimized PID-controlled active vehicle suspension system (AVSS) over the manually tuned PID-controlled AVSS and the passive vehicle suspension system (PVSS).

Designing active vehicle suspension system using critic-based control strategy

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Mahdi Akraminia ◽  
Milad Tatari ◽  
Mohammad Fard ◽  
Reza N. Jazar
Keyword(s):  
Ride Comfort ◽  
Fuzzy Inference ◽  
Control Method ◽  
Back Propagation ◽  
Suspension System ◽  
Superior Performance ◽  
Vehicle Suspension ◽  
Hydraulic Actuator ◽  
Vehicle Suspension System ◽  
Active Vehicle Suspension System

AbstractIn this paper, an adaptive critic-based neurofuzzy controller is presented for a 2 DOF active vehicle suspension system with a servo hydraulic actuator. Fuzzy critic-based learning is a reinforcement learning method based on dynamic programming. The only information available for the critic agent is the system feedback, which is interpreted as the last action performed by the controller in the previous state. The signal produced by the critic agent is used alongside the algorithm of error back propagation to tune online conclusion parts of the fuzzy inference rules of the adaptive controller. Simulation results demonstrate the superior performance of this control method in terms of well disturbance rejection, improved ride comfort, robustness to model uncertainty and lower controller cost.

Digital Controller Design for Half-Car Active Suspension System with Using Singular Perturbation Theory

2011 ◽  
Vol 403-408 ◽  
pp. 4800-4805 ◽  
Author(s):  
A. R. Paarya ◽  
H. Zarabadipour
Keyword(s):  
Perturbation Theory ◽  
Controller Design ◽  
Suspension System ◽  
Digital Controller ◽  
Singular Perturbation Theory ◽  
Vehicle Suspension ◽  
Car Model ◽  
Perturbed Systems ◽  
Simulation Results ◽  
Vehicle Suspension System

In this paper the digital controller design for vehicle suspension system, based on a half-car model using singular perturbed systems is considered. This strategy is based on the slow and fast subsystems controller design. The simulation results show them favorable performance of the controller and achieve fast and good response.

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.

Improvement of Ride Comfort by Preview Vehicle-Suspension System

1992 ◽  
Author(s):  
Sueharu Nagiri ◽  
Shun'ichi Doi ◽  
Shoh-ichi Shoh-no ◽  
Nobuo Hiraiwa
Keyword(s):  
Ride Comfort ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Vehicle Suspension System

Optimal Active Control of Vehicle Suspension System Including Time Delay and Preview for Rough Roads

2002 ◽  
Vol 8 (7) ◽  
pp. 967-991 ◽  
Author(s):  
Javad Marzbanrad ◽  
Goodarz Ahmadi ◽  
Yousef Hojjat ◽  
Hassan Zohoor
Keyword(s):  
Ride Comfort ◽  
Three Dimensional ◽  
Suspension System ◽  
Road Surface ◽  
Vehicle Suspension ◽  
Control Force ◽  
Preview Control ◽  
The Road ◽  
Road Surface Roughness ◽  
Vehicle Suspension System

An optimal preview control of a vehicle suspension system traveling on a rough road is studied. A three-dimensional seven degree-of-freedom car-riding model and several descriptions of the road surface roughness heights, including haversine (hole/bump) and stochastic filtered white noise models, are used in the analysis. It is assumed that contact-less sensors affixed to the vehicle front bumper measure the road surface height at some distances in the front of the car. The suspension systems are optimized with respect to ride comfort and road holding preferences including accelerations of the sprung mass, tire deflection, suspension rattle space and control force. The performance and power demand of active, active and delay, active and preview systems are evaluated and are compared with those for the passive system. The results show that the optimal preview control improves all aspects of the vehicle suspension performance while requiring less power. Effects of variation of preview time and variations in the road condition are also examined.

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