scholarly journals Sliding Mode Control of Laterally Interconnected Air Suspensions

2020 ◽  
Vol 10 (12) ◽  
pp. 4320 ◽  
Author(s):  
Dou Guowei ◽  
Yu Wenhao ◽  
Li Zhongxing ◽  
Amir Khajepour ◽  
Tan Senqi
Keyword(s):  
Ride Comfort ◽  
Control Method ◽  
Sliding Mode ◽  
Suspension System ◽  
Lateral Acceleration ◽  
Sliding Mode Controller ◽  
The Road ◽  
Air Suspension ◽  
Simulation Based ◽  
Different Levels

This paper presents a control method based the lateral interconnected air suspension system, in order to improve the road handling of vehicles. A seven-DOF (Degree of freedom) full-vehicle model has been developed, which considers the features of the interconnected air suspension system, for example, the modeling of the interconnected pipelines and valves by considering the throttling and hysteresis effects. On the basis of the well-developed model, a sliding mode controller has been designed, with a focus on constraining and minimizing the roll motion of the sprung mass caused by the road excitations or lateral acceleration of the vehicle. Moreover, reasonable road excitations have been generated for the simulation based on the coherence of right and left parts of the road. Afterwards, different simulations have been done by applying both bumpy and random road excitations with different levels of roughness and varying vehicle lateral accelerations. The simulation results indicate that the interconnected air suspension without control can improve the ride comfort, but worsen the road handling performance in many cases. However, by applying the proposed sliding mode controller, the road handling of the sprung mass can be improved by 20% to 85% compared with the interconnected or non-interconnected mode at a little cost of comfort.

The Simulation Analysis of Semi-Active Suspension System in Vehicle Based on Sliding Mode Control with Varying Structure

2011 ◽  
Vol 216 ◽  
pp. 96-100
Author(s):  
Jing Jun Zhang ◽  
Wei Sha Han ◽  
Li Ya Cao ◽  
Rui Zhen Gao
Keyword(s):  
Control Method ◽  
Simulation Analysis ◽  
Reference Model ◽  
Sliding Mode ◽  
Tracking Error ◽  
Active Suspension ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Error Dynamics ◽  
Dynamic Quality

A sliding mode controller for semi-active suspension system of a quarter car is designed with sliding model varying structure control method. This controller chooses Skyhook as a reference model, and to force the tracking error dynamics between the reference model and the plant in an asymptotically stable sliding mode. An equal near rate is used to improve the dynamic quality of sliding mode motion. Simulation result shows that the stability of performance of the sliding-mode controller can effectively improve the driving smoothness and safety.

Performance analysis of MR damper based semi-active suspension system using optimally tuned controllers

2021 ◽  
pp. 095440702110044
Author(s):  
Gurubasavaraju Tharehalli mata ◽  
Vijay Mokenapalli ◽  
Hemanth Krishna
Keyword(s):  
Pid Controller ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Parametric Method ◽  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Road Excitation

This study assesses the dynamic performance of the semi-active quarter car vehicle under random road conditions through a new approach. The monotube MR damper is modelled using non-parametric method based on the dynamic characteristics obtained from the experiments. This model is used as the variable damper in a semi-active suspension. In order to control the vibration caused under random road excitation, an optimal sliding mode controller (SMC) is utilised. Particle swarm optimisation (PSO) is coupled to identify the parameters of the SMC. Three optimal criteria are used for determining the best sliding mode controller parameters which are later used in estimating the ride comfort and road handling of a semi-active suspension system. A comparison between the SMC, Skyhook, Ground hook and PID controller suggests that the optimal parameters with SMC have better controllability than the PID controller. SMC has also provided better controllability than the PID controller at higher road roughness.

scholarly journals Automobile active tilt control based on active suspension

2018 ◽  
Vol 10 (10) ◽  
pp. 168781401880145 ◽  
Author(s):  
Jialing Yao ◽  
Zhihong Li ◽  
Meng Wang ◽  
Feifan Yao ◽  
Zheng Tang
Keyword(s):  
Tilt Angle ◽  
Load Transfer ◽  
Ride Comfort ◽  
Control Method ◽  
Sliding Mode ◽  
Active Suspension ◽  
Degree Of Freedom ◽  
Lateral Acceleration ◽  
Vehicle Speed ◽  
Rollover Prevention

The rolling control of a car that focuses on reducing the roll angle passively has limited performance of increasing handling stability, passing speed, ride comfort, and rollover prevention while turning. This project presents a method for controlling an automobile to tilt toward the turning direction using active suspension. A 6-degree-of-freedom vehicle model with a 2-degree-of-freedom steering model and a 4-degree-of-freedom tilting model is established. The active tilt sliding mode controller, which causes zero steady-state tilt angle error, is established after the desired tilt angle is determined by dynamic analysis. Simulation results confirm the effectiveness of the control method. The proposed controller reduces the perceived lateral acceleration and the lateral load transfer rate, thereby effectively improving handling stability, ride comfort, and vehicle speed, meanwhile decreasing the possibility of rollover while turning.

A new adaptive sliding mode control for Macpherson strut suspension system with magneto-rheological damper

2016 ◽  
Vol 27 (20) ◽  
pp. 2795-2809 ◽  
Author(s):  
Saikat Dutta ◽  
Sang-Min Choi ◽  
Seung-Bok Choi
Keyword(s):  
Ride Comfort ◽  
Sliding Mode ◽  
Suspension System ◽  
Adaptive Sliding Mode Control ◽  
Sliding Mode Controller ◽  
Sliding Surface ◽  
Adaptive Sliding Mode ◽  
Adaptive Sliding Mode Controller ◽  
Magneto Rheological ◽  
Macpherson Strut

This work proposes a new adaptive sliding mode controller to enhance ride comfort and steering stability of automobile associated with a semi-active magneto-rheological damper. In this study, a Macpherson strut type suspension system which is widely used in light vehicles is considered. The dynamic model of the Macpherson strut with magneto-rheological damper is obtained and the governing equations are then formulated using kinematic properties of the suspension system following Lagrange’s formulation. In the formulation of the model, both the rotation of the wheel assembly and the lateral stiffness of the tire are considered to represent the nonlinear characteristic of Macpherson type suspension system. Subsequently, in order to effectively reduce unwanted vibrations, a new adaptive sliding mode controller is designed by adopting moving sliding surface instead of conventional fixed sliding surface. In order to demonstrate the effectiveness of the proposed controller, a cylindrical magneto-rheological damper is designed and manufactured on the basis of practical application conditions such as required damping force. Then, ride comfort, suspension travel, and road handling are evaluated and some benefits of the proposed controller such as enhanced ride comfort are evaluated.

Intelligent Sliding Mode Controller for Active Suspension System Using Particle Swarm Optimization

2014 ◽  
Vol 69 (1) ◽  
Author(s):  
Mahmood Ali Moqbel Obaid ◽  
Abdul Rashid Husain ◽  
Ali Abdo Mohammed Al-kubati
Keyword(s):  
Particle Swarm Optimization ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Pso Algorithm ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Swarm Optimization ◽  
Passive Suspension ◽  
Passive Suspension System ◽  
Mismatched Uncertainty

This paper considers the control of an active suspension system (ASS) for a quarter car model based on the fusion of robust control and computational intelligence techniques. The objective of designing a controller for the car suspension system is to improve the ride comfort while maintaining the constraints on to the suspension travel and tire deformation subjected to different road profile. However, due to the mismatched uncertainty in the mathematical model of the ASS, sliding mode control (SMC) cannot be applied directly to control the system. Thus, the purpose of this work is to adapt the SMC technique for the control of ASS, where particle swarm optimization (PSO) algorithm is utilized to design the sliding surface such that the effect of the mismatched uncertainty can be minimized. The performance of the proposed sliding mode controller based on the PSO algorithm is compared with the linear quadratic optimal control (LQR) and the existing passive suspension system. In comparison with the other control methods, the simulation results demonstrate the superiority of the proposed controller, where it significantly improved the ride comfort 67% and 25% more than the passive suspension system and the LQR controller, respectively. 

Hydraulic anti-lock braking control strategy of a vehicle based on a modified optimal sliding mode control method

2018 ◽  
Vol 233 (12) ◽  
pp. 3185-3198 ◽  
Author(s):  
Jun-Cheng Wang ◽  
Ren He
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Control Performance ◽  
Slip Ratio ◽  
The Road ◽  
Braking System ◽  
Mode Control ◽  
The Common

The objective of this paper is to propose a modified optimal sliding mode control method for the hydraulic anti-lock braking system of a vehicle to achieve both robustness and optimal control performance. The longitudinal dynamic model of a vehicle, tyre model and hydraulic anti-lock braking system model are established, and the weakness of the common optimal sliding mode control method in designing the anti-lock braking system controller is analysed synthetically. The analyses form the basis for tracking an ideal slip ratio. A new modified optimal sliding mode controller is proposed to regulate the hydraulic anti-lock braking system for a better braking performance and robustness: the optimal sliding mode manifold function includes several virtual damping elements and infinitely small-sized items to meet the working conditions of the current optimal sliding mode control method. The control results of the proposed controller are compared with those of the common sliding mode controller. Simulation results under various road conditions demonstrate that the modified optimal sliding mode controller not only has strong robustness against uncertainties in the road adhesion coefficient but also achieves better control performance of the slip ratio.

scholarly journals Applied Mechatronics: Designing a Sliding Mode Controller for Active Suspension System

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Aydin Azizi ◽  
Hamed Mobki
Keyword(s):  
Control Method ◽  
Sliding Mode ◽  
Gaussian White Noise ◽  
Basin Of Attraction ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Attraction Set ◽  
Shock Absorbers ◽  
Quarter Car ◽  
Noise Factors

The suspension system is referred to as the set of springs, shock absorbers, and linkages that connect the car to the wheel system. The main purpose of the suspension system is to provide comfort for the passengers, which is created by reducing the effects of road bumpiness. It is worth noting that reducing the effects of such vibrations also diminishes the noise and undesirable sound as well as the effects of fatigue on mechanical parts of the vehicle. Due to the importance of the abovementioned issues, the objective of this article is to reduce such vibrations on the car by implementing an active control method on the suspension system. For this purpose, a conventional first-order sliding mode controller has been designed for stochastic control of the quarter-car model. It is noteworthy that this controller has a significant ability to overcome the stochastic effects, uncertainty, and deal with nonlinear factors. To design a controller, the governing dynamical equation of the quarter-car system has been presented by considering the nonlinear terms in the springs and shock absorber, as well as taking into account the uncertainty factors in the system and the actuator. The design process of the sliding mode controller has been presented and its stability has been investigated in terms of the Lyapunov stability. In the current research, road surface variations are considered as Gaussian white noise. The dynamical system behavior for controlled and uncontrolled situations has been simulated and the extracted results have been presented. Besides, the effects of existing uncertainty in the suspension system and actuator have been evaluated and controller robustness has been checked. Also, the obtained quantitative and qualitative compressions have been presented. Moreover, the effect of controller parameters on the basin of attraction set and its extensiveness has been assessed. The achieved results have indicated the good performance and significant robustness of the designed controller to stabilize the suspension system and mitigate the effects of road bumpiness in the presence of uncertainty and noise factors.

scholarly journals RESEARCH ON DESIGN AND HYBRID SLIDING MODE CONTROL OF HIGH CLEARANCE SELF-PROPELLED SPRAYER CHASSIS AIR SUSPENSION

2020 ◽  
Vol 61 (2) ◽  
pp. 115-126
Author(s):  
Yu Chen ◽  
Jun Chen ◽  
Wei Li ◽  
Shuo Zhang ◽  
Hui Xia ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Ride Comfort ◽  
Control Method ◽  
Sliding Mode ◽  
Operating Efficiency ◽  
Road Transportation ◽  
Characteristic Analysis ◽  
Mode Control ◽  
Air Suspension ◽  
High Clearance

According to the operation characteristics of high clearance self-propelled sprayer, an independent vertical shaft air suspension system with auxiliary chamber was designed. On the basis of the damping characteristic analysis and experiment of the air suspension with auxiliary chamber, the sprayer suspension control strategy was developed. Aiming at strong non-linearity and hysteresis for air suspension with auxiliary chamber, and when the sprayer performed road transportation and spraying operation, there was a contradiction between ride comfort and road friendliness, a hybrid sliding mode control method for sprayer chassis suspension based on skyhook reference sliding mode and ground-hook reference sliding mode was proposed. Finally, Matlab/Simulink was used to analyse the effect of the control method in different mixing coefficients. The simulation results showed that according to the requirements of different working conditions of the sprayer, by properly selecting the mixing coefficient γ value, the hybrid sliding mode control could simultaneously take into account the sprayer ride comfort and road friendliness, which was important to improve the sprayer overall performance and operating efficiency.

scholarly journals Active Control of Nonlinear Suspension System Using Modified Adaptive Supertwisting Controller

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Jagat J. Rath ◽  
Kalyana C. Veluvolu ◽  
Michael Defoort
Keyword(s):  
Active Control ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Active Suspension ◽  
Higher Order ◽  
Suspension System ◽  
Road Surface ◽  
Control Action ◽  
The Road ◽  
Bounded Uncertainties

The suspension system is faced with nonlinearities from the spring, damper, and external excitations from the road surface. The objective of any control action provided to the suspension is to improve ride comfort while ensuring road holding for the vehicle. In this work, a robust higher order sliding mode algorithm combining the merits of the modified supertwisting algorithm and the adaptive supertwisting algorithm has been proposed for the nonlinear active suspension system. The proposed controller is robust to linearly growing perturbations and bounded uncertainties. Simulations have been performed for different classes of road excitations and the results are presented.

Ride comfort analysis of driver seat using super twisting sliding mode controlled magnetorheological suspension system

2021 ◽  
pp. 095440702110087
Author(s):  
Arockia Suthan Soosairaj ◽  
Arunachalam Kandavel
Keyword(s):  
Time Domain ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Mr Damper ◽  
Time Domain Analysis ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Passive Suspension ◽  
Voltage Variation ◽  
Continuous State

In order to improve the ride comfort of the driver, a higher-order Sliding Mode Controller was proposed in this study for a semiactive magnetorheological (MR) suspension system. The work is mainly focused on improving the ride comfort of the driver with simultaneous improvement in road holding capability of the vehicle and to study the effects of using Super Twisting Sliding Mode Controller (STSMC) in a quarter car with driver seat model. The modified Bouc-Wen model was simulated using MATLAB/Simulink software and the STSMC was adopted to control the voltage variation in MR damper using Continuous State Control (CSC) algorithm. The controller and the suspension system parameters were analysed in time domain with random road inputs. Fast Fourier Transform (FFT) analysis was also carried out to show the effectiveness of the controller towards improving the driver seat comfort. The STSMC-controlled MR damper was used as a primary suspension and the effectiveness of its controllability was compared with passive suspension system. The uncontrolled MR suspension system was also analysed in order to verify the fail-proof advantage of the MR damper. From the results, it was found that the ride comfort was extremely improved when STSMC controller was used than when the uncontrolled MR and passive suspension systems were employed. The uncertainty of the STSMC was verified for different passenger masses and it achieved a robust control over load variation. The selected STSMC was validated with the first-order Sliding Mode Controller and the results were discussed in terms of time-domain analysis.

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