A novel optimal fuzzy integrated control method of active suspension system

2018 ◽  
Vol 40 (1) ◽  
Author(s):  
Wei Wang ◽  
Yuling Song ◽  
Jun Chen ◽  
Shuaibing Shi
Keyword(s):  
Control Method ◽  
Integrated Control ◽  
Active Suspension ◽  
Suspension System

scholarly journals Improving the Comfort of the Vehicle Based on Using the Active Suspension System Controlled by the Double-Integrated Controller

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tuan Anh Nguyen
Keyword(s):  
Control Method ◽  
Integrated Control ◽  
Active Suspension ◽  
Suspension System ◽  
Control Methods ◽  
Passive Suspension ◽  
Positive Effects ◽  
Advantages And Disadvantages ◽  
Passive Suspension System ◽  
Integrated Controller

When the vehicle moves on the road, many external factors affect the vehicle. These effects can cause oscillation and instability for the vehicle. The oscillation of the vehicle directly affects the safety and comfort of passengers. The suspension system is used to control and extinguish these oscillations. However, the conventional passive suspension system is unable to fully meet the vehicle’s requirements for stability and comfort. To improve these problems, these are much modern suspension system models that have been used in the vehicle to replace the passive suspension system. The modern suspension systems are used as the air suspension system, semiactive suspension system, and active suspension system. These systems which are controlled automatically by the controller were established based on the control methods. There are a lot of control methods which are used to control the operation of the active suspension system. These methods have their advantages and disadvantages. Almost, conventional control methods such as PID, LQR, or SMC are commonly used. However, they do not provide optimal efficiency in improving a vehicle’s oscillation. Therefore, it is necessary to establish a novel solution for the active suspension system control to improve the vehicle’s oscillation. In this paper, the method of using the double-integrated controller is proposed to solve the above problem. The double-integrated controller consists of two hydraulic actuators which are controlled completely separately. This is a completely novel and original method that can provide positive effects. This research focuses on establishing, simulating, and evaluating the novel control method (the double-integrated control) for the active suspension system. The results of the research have shown that when the vehicle is equipped with the active suspension system which is controlled by the double-integrated controller, the maximum values of displacement and acceleration of the sprung mass are significantly reduced. They reach only 6.25% and 9.10% (case 1) and 6.00% and 6.12% (case 2) compared to the conventional passive suspension system. Besides, its average values which are calculated by RMS are only about 3.91% and 4.67% (case 1) and 4.48% and 4.77% (case 2) compared to the above case. Therefore, the comfort and stability of the vehicle have been improved. This paper provides new concepts and knowledge about the double-integrated control method which will become the trend to be used in the next time for the systems of the vehicle. In the future, experimental procedures also need to be conducted to be able to more accurately evaluate the results of this research.

Integrated Control of Active Suspension System and Active Front Steering System Using Hierarchical Control Method

2009 ◽  
Author(s):  
Weihua Zhang ◽  
Wuwei Chen ◽  
Hansong Xiao ◽  
Hui Zhu
Keyword(s):  
Control Method ◽  
Lower Layer ◽  
Integrated Control ◽  
Hierarchical Control ◽  
Active Suspension ◽  
Steering System ◽  
Vehicle Control ◽  
Suspension System ◽  
Active Front Steering ◽  
And Control

Integrated vehicle control has been an important research topic in the area of vehicle dynamics and control in recent years. The aim of integrated vehicle control is to improve the overall vehicle performance including handling, stability and comfort through creating synergies in the use of sensor information, hardware, and control strategies. This paper proposes a two-layer hierarchical control architecture for integrated control of active suspension system (ASS) and active front steering system (AFS). The upper layer controller is designed to coordinate the interactions between the ASS and the AFS. While in the lower layer, the two controllers including the ASS and the AFS, are developed independently to achieve their local control objectives. Simulation results show that the proposed hierarchical control system is able to improve both the ride comfort and the lateral stability compared to the non-integrated control approach.

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.

scholarly journals Online Adaptive Optimal Control of Vehicle Active Suspension Systems Using Single-Network Approximate Dynamic Programming

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Zhi-Jun Fu ◽  
Bin Li ◽  
Xiao-Bin Ning ◽  
Wei-Dong Xie
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Approximate Dynamic Programming ◽  
Control Method ◽  
Active Suspension ◽  
Suspension System ◽  
Lyapunov Theory ◽  
Adaptive Optimal Control ◽  
Suspension Systems ◽  
Optimal Control Method

In view of the performance requirements (e.g., ride comfort, road holding, and suspension space limitation) for vehicle suspension systems, this paper proposes an adaptive optimal control method for quarter-car active suspension system by using the approximate dynamic programming approach (ADP). Online optimal control law is obtained by using a single adaptive critic NN to approximate the solution of the Hamilton-Jacobi-Bellman (HJB) equation. Stability of the closed-loop system is proved by Lyapunov theory. Compared with the classic linear quadratic regulator (LQR) approach, the proposed ADP-based adaptive optimal control method demonstrates improved performance in the presence of parametric uncertainties (e.g., sprung mass) and unknown road displacement. Numerical simulation results of a sedan suspension system are presented to verify the effectiveness of the proposed control strategy.

Adaptive fault-tolerant control for active suspension systems based on the terminal sliding mode approach

2019 ◽  
Vol 234 (2) ◽  
pp. 501-511
Author(s):  
Amirhossein Kazemipour ◽  
Alireza B Novinzadeh
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Active Suspension ◽  
Suspension System ◽  
Terminal Sliding Mode ◽  
Car Suspension ◽  
Suspension Model

In this paper, a control system is designed for a vehicle active suspension system. In particular, a novel terminal sliding-mode-based fault-tolerant control strategy is presented for the control problem of a nonlinear quarter-car suspension model in the presence of model uncertainties, unknown external disturbances, and actuator failures. The adaptation algorithms are introduced to obviate the need for prior information of the bounds of faults in actuators and uncertainties in the model of the active suspension system. The finite-time convergence of the closed-loop system trajectories is proved by Lyapunov's stability theorem under the suggested control method. Finally, detailed simulations are presented to demonstrate the efficacy and implementation of the developed control strategy.

Design of Vehicle Semi-Active Suspension System Control Unit

2012 ◽  
Vol 220-223 ◽  
pp. 1995-1999
Author(s):  
Hong Kun Zhang ◽  
Wen Jun Li
Keyword(s):  
Embedded System ◽  
Control Strategy ◽  
Ride Comfort ◽  
Integrated Control ◽  
Control Unit ◽  
Active Suspension ◽  
Suspension System ◽  
System Control ◽  
Control Effect ◽  
Minimax Strategies

This paper researches on embedded system design based on MC9s12Dp256 microcontroller for vehicle semi-active suspension. The hardware design of suspension control unit (SCU) is introduced. The integrated control strategy which integrates Skyhook and MiniMax strategies is proposed. The hardware-in-the-loop simulation (HILS) test on a two-degree-of-freedom quarter car semi-active suspension system model is carried out. The functions of SUC are verified and the performance of passive suspension and semi-active suspension is compared. The simulation results indicate that the performance of SCU achieves design requirement. In comparison with passive system, the control effect of integrated control strategy can be improved in ride comfort and drive safety.

Research on Vehicle Chassis Integrated Control Technology Based on Coordination Strategy

2012 ◽  
Vol 249-250 ◽  
pp. 667-671 ◽  
Author(s):  
Kui Yang Wang ◽  
Chuan Yi Yuan ◽  
Jin Hua Tang ◽  
Guo Qing Li
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Integrated Control ◽  
Steering System ◽  
Suspension System ◽  
Coordination Control ◽  
Feedback Information ◽  
Coordination Strategy ◽  
Negative Effect ◽  
To Receive

In order to eliminate mutual negative effect of brake, steering and suspension system, a kind of layered coordinated control method based on multiple controllers is put forward. Framework of coordination control system of chassis is established, coordination strategy of upper controller and control strategy of lower controllers are designed. The upper controller is used mainly to receive operation information of driver, running state of vehicle and feedback information of lower controllers, and send coordination control strategy to lower controllers. The lower controllers include controller of electro mechanical braking system (EMB), controller of electric power steering system (EPS) and controller of active suspension system (ASS), which are used to receive decision instruction of upper controller, control actuators to accomplish control tasks and send execution situation to upper controller in time.

Conjoint Simulation of Active Suspension and ABS

2014 ◽  
Vol 494-495 ◽  
pp. 155-158
Author(s):  
Lei Zhang ◽  
En Guo Dong ◽  
Jie Xun Lou
Keyword(s):  
Simulation Model ◽  
Control Method ◽  
Active Suspension ◽  
Suspension System ◽  
Brake System ◽  
Active Force ◽  
Simulation Data ◽  
Integral Control ◽  
Braking Performance ◽  
Braking Distance

A conjoint simulation of suspension system and brake system is proposed based on vehicle braking performance and ride stability. A half car simulation model is built applying the software of MATLAB in which the dynamic load is used to control the active force for suspension system and adjust parameter value of ABS (Anti-lock brake system). The suspension system and ABS construction of the half car simulation model is illustrated in detail. Using the simulation model, the braking distance, the stroke for suspension and the pitch angle of body are measured in three status which include the individually control for active suspension, the individually control for ABS and the integration control respectively. The simulation data show that the integral control method synchronously ensures braking stability and riding stability.

scholarly journals The algorithm of adaptive control for active suspension systems using pole assign and cascade design method

2020 ◽  
Vol 9 (4) ◽  
pp. 271
Author(s):  
Chi Nguyen Van
Keyword(s):  
Control Method ◽  
Reference Model ◽  
Active Suspension ◽  
Suspension System ◽  
Control Force ◽  
Control Loop ◽  
The Road ◽  
Suspension Systems ◽  
Road Profile ◽  
Control Scheme

This paper presents the active suspension system (ASS) control method using the adaptive cascade control scheme. The control scheme is implemented by two control loops, the inner control loop and outer control loop are designed respectively. The inner control loop uses the pole assignment method in order to move the poles of the original system to desired poles respect to the required performance of the suspension system. To design the controller in the inner loop, the model without the noise caused by the road profile and velocity of the car is used. The outer control loop then designed with an adaptive mechanism calculates the active control force to compensate for the vibrations caused by the road profile and velocity of the car. The control force is determined by the error between states of the reference model and states of suspension systems, the reference model is the model of closed-loop with inner control loop without the noise. The simulation results implemented by using the practice date of the road profile show that the capability of oscillation decrease for ASS is quite efficient

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