Semi-active Fuzzy Sliding Mode Control of Full Vehicle and Suspensions

2005 ◽  
Vol 11 (8) ◽  
pp. 1025-1042 ◽  
Author(s):  
H. Liu ◽  
K. Nonami ◽  
T. Hagiwara
Keyword(s):  
Ride Comfort ◽  
Sliding Mode ◽  
Suspension System ◽  
Vehicle Body ◽  
Mode Switch ◽  
Low Frequencies ◽  
Comfort Care ◽  
Fuzzy Sliding Mode Control ◽  
Fuzzy Sliding Mode ◽  
Real Vehicle

The suspension of a vehicle is the support system between a vehicle body and wheels. The purpose of a suspension system is to support the vehicle body and increase ride comfort. Care must be taken in the design of a suspension system because if the attenuation force becomes large, the passenger will be subjected to a very rough ride under high-frequency disturbances, and if the attenuation force becomes small, the ride will feel overly soft at low frequencies. Furthermore, if the spring constant is too low, the vehicle’s natural frequency of vibration will be low, and thus the heave, rolling, and pitching will be large. In this study, a fuzzy sliding mode controller for a real vehicle has been designed. A new method for designing the fuzzy sliding mode switch hyperplane has been proposed. Experiment results are presented to confirm the effectiveness of this new algorithm.

Fuzzy sliding mode based active disturbance rejection control for active suspension system

2019 ◽  
Vol 234 (2-3) ◽  
pp. 449-457
Author(s):  
Haoping Wang ◽  
Yeqing Lu ◽  
Yang Tian ◽  
Nicolai Christov
Keyword(s):  
Disturbance Rejection ◽  
Ride Comfort ◽  
Actuator Saturation ◽  
Sliding Mode ◽  
Suspension System ◽  
Active Disturbance Rejection Control ◽  
Active Disturbance Rejection ◽  
Car Suspension ◽  
Disturbance Rejection Control ◽  
Fuzzy Sliding Mode

This article deals with the control problem of 7-degrees of freedom full-car suspension system which takes into account the spring-damper nonlinearities, unmodeled dynamics and external disturbances. The existing active disturbance rejection control uses an extended state observer to estimate the “total disturbance” and eliminate it with state error feedback. In this article, a new type of active disturbance rejection control is developed to improve the ride comfort of full car suspension systems taking into account the suspension nonlinearities and actuator saturation. The proposed controller combines active disturbance rejection control and fuzzy sliding mode control and is called Fuzzy Sliding Mode active disturbance rejection control. To validate the system mathematical model and analyze the controller performance, a virtual prototype is built in Adams. The simulation results demonstrate better performance of Fuzzy Sliding Mode active disturbance rejection control compared to the existing active disturbance rejection control.

scholarly journals Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension

2021 ◽  
Vol 11 (22) ◽  
pp. 10925
Author(s):  
Gang Li ◽  
Zhiyong Ruan ◽  
Ruiheng Gu ◽  
Guoliang Hu
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Mr Damper ◽  
Suspension System ◽  
System Stability ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Air Suspension ◽  
Road Excitation ◽  
Fuzzy Sliding Mode

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR damper used in the semi-active air suspension system was tested and analyzed. Based on the experimental data, the genetic algorithm was used to identify the parameters of the improved hyperbolic tangent model, which was derived for the MR damper. At the same time, an adaptive neuro fuzzy inference system (ANFIS) was used to build the reverse model of the MR damper. The model of a quarter vehicle semi-active air suspension system equipped with a MR damper was established. Aiming at the uncertainty of the air suspension system, fuzzy control was used to adjust the boundary layer of the sliding mode control, which can effectively suppress the influence of chattering on the control accuracy and ensure system stability. Taking random road excitation and impact road excitation as the input signal, the simulation analysis of passive air suspension, semi-active air suspension based on SMC and FSMC was carried out, respectively. The results show that the semi-active air suspension based on FSMC has better vibration attenuating performance and ride comfort.

scholarly journals An ABC Optimized Adaptive Fuzzy Sliding Mode Control Strategy for Full Vehicle Active Suspension System

2021 ◽  
Vol 17 (2) ◽  
pp. 151-165
Author(s):  
Atheel Abdul Zahra ◽  
Turki Abdalla
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Suspension System ◽  
Adaptive Sliding Mode Control ◽  
Fuzzy Sliding Mode Control ◽  
Full Vehicle ◽  
Mode Control ◽  
Control Scheme ◽  
Fuzzy Sliding Mode ◽  
The Stability

This work presents a Fuzzy based adaptive Sliding Mode Control scheme to deal with the control problem of full vehicle active suspension system and take into consideration the nonlinearities of the spring and damper, unmodeled dynamics as well as external disturbances. The control law of fuzzy-based Adaptive Sliding Mode Control scheme will update the parameters of fuzzy sliding mode control by using the stability analysis of Lyapunov criteria such that the convergence infinite time and the stability of the closed-loop is ensured. The proposed control scheme consists of four similar subsystems used for the four sides of the vehicle. The sub-control scheme contains two loops, the outer loop is built using a sliding mode controller with a fuzzy estimator to approximate and estimate the unknown parameters in the system. In the inner loop, a controller of type Fractional Order PID (FOPID) is utilized to create the required actuator force. All parameters in the four sub-control schemes are optimized utilizing Artificial Bee Colony (ABC) algorithm in order to improve the performance. The results indicate the effectiveness and good achievement of the proposed controller in providing the best ability to limit the vibration with good robustness properties in comparison with passive suspension system and using sliding mode control method. The controlled suspension system shows excellent results when it was tested with and without typical breaking and bending torques.

Fuzzy Sliding Mode Control for Semi-Active Suspension System

2011 ◽  
Vol 268-270 ◽  
pp. 1595-1600
Author(s):  
Jing Jun Zhang ◽  
Wei Sha Han ◽  
Rui Zhen Gao
Keyword(s):  
Fuzzy Controller ◽  
Sliding Mode ◽  
Active Suspension ◽  
Sliding Mode Controller ◽  
Mode Switch ◽  
Fuzzy Sliding Mode Control ◽  
Absolute Value ◽  
Reference Models ◽  
Fuzzy Sliding Mode ◽  
The Stability

In Matlab/Simulink software semi-active suspension dynamic model of a quarter car is established and a sliding mode controller and a fuzzy sliding mode controller are designed. The fuzzy controller inputs are sliding mode switch function and its derivatives, and the output of absolute value is the sliding mode controller parameters. This fuzzy sliding mode controller chooses sliding mode controller and Skyhook as reference models and the simulation result shows that the stability of performance of the fuzzy sliding mode controller can effectively improve the driving smoothness and safety.

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