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.

scholarly journals Variable damping control strategy of a semi-active suspension based on the actuator motion state

2019 ◽  
Vol 39 (3) ◽  
pp. 787-802 ◽  
Author(s):  
Mingde Gong ◽  
Hao Chen
Keyword(s):  
Control Strategy ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Heavy Vehicles ◽  
Damping Force ◽  
Damping Control ◽  
Motion State ◽  
Variable Damping ◽  
Work First

A semi-active suspension variable damping control strategy for heavy vehicles is proposed in this work. First, a nine-degree-of-freedom model of a semi-active suspension of heavy vehicles and a stochastic road input mathematical model are established. Second, using a 1/6 vehicle as an example, a semi-active suspension system with damping that can be adjusted actively is designed using proportional relief and throttle valves. The damping dynamic characteristics of the semi-active suspension system and the time to establish the damping force are studied through a simulation. Finally, a variable damping control strategy based on an actuator motion state is proposed to adjust the damping force of the semi-active suspension system actively and therefore satisfy the vibration reduction requirements of different roads. Results show that the variable damping control suspension can substantially improve vehicle ride comfort and handling stability in comparison with a passive suspension.

Based on Single Neuron PID Control of Vehicle Active Suspension System

2013 ◽  
Vol 380-384 ◽  
pp. 528-531 ◽  
Author(s):  
Xiao Feng Liu ◽  
Xin Hua Xie
Keyword(s):  
Control Strategy ◽  
Pid Control ◽  
Single Neuron ◽  
Ride Comfort ◽  
Control Strategies ◽  
Active Suspension ◽  
Vital Role ◽  
Suspension System ◽  
Suspension Control ◽  
Single Neuron Pid

Relative to the passive suspension, automotive active suspension car driving more ride comfort and stability, has a vital role to further improve the performance of the vehicle. For such a typically complex active suspension system research, the key issue is the selection of control strategies. The problems in the currently active suspension control strategy, the principle of a simple, effective, this paper, a single neuron PID control strategy used in the automotive active suspension system. The results show that compared with other control strategies, single neuron PID control strategy is reliable, has more advantages.

Suspension System Control with Fuzzy Logic

2016 ◽  
Vol 6 ◽  
pp. 1
Author(s):  
Alireza Rezaee ◽  
Mazyar Pajohesh
Keyword(s):  
Fuzzy Logic ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Suspension System ◽  
The Body ◽  
System Control ◽  
Main Role ◽  
Passive Suspension ◽  
Road Disturbance

In this paper, fuzzy logic is used to control active suspension of one-quarter car model. The main role of a car suspension system is to improve the ride comfort and to better the handling property. It usually consists of a spring and a damper to improve the properties of suspension system. The fuzzy logic method is one of the most active research and developments areas on artificial and intelligence at the present time, particularly in the automobile industry. One quarter of car if modeled by springs, masses, dampers and force actuator and the state space equations are derived by lagrangian method. The ride comfort is improved by means of the reduction of the body acceleration caused by the car body when road disturbance from uneven road surfaces, pavement point etc. act on the tires of running car. Here, a logic fuzzy controller is designed in which, the number of rule bases are reduced in comparison with some traditional one which have been introduced in other papers. At the end, a comparison of active suspension fuzzy control and traditional passive suspension is shown using MATLAB simulations. Results show that, active suspension improves the ride comfort by reducing acceleration, compared with the performance of passive suspension.

Investigation on Semi-active Suspension System for Multi-axle Armoured Vehicle using Co-simulation

2017 ◽  
Vol 67 (3) ◽  
pp. 269
Author(s):  
Mukund W. Trikande ◽  
Vinit V. Jagirdar ◽  
Vasudevan Rajamohan ◽  
P.R. Sampat Rao
Keyword(s):  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Control Strategies ◽  
Integrated Control ◽  
Active Suspension ◽  
Suspension System ◽  
Ride Quality ◽  
Actual System ◽  
Loop Control ◽  
Ride Control

<p>The objective of the study is to evaluate the performance of various semi-active suspension control strategies for 8x8 multi-axle armoured vehicles in terms of comparative analysis of ride quality and mobility parameters during negotiation of typical military obstacles. Since the cost, complexity and time precludes realisation of actual system, co-simulation technique has been effectively implemented for this investigation. Co-simulation combines advanced virtual prototyping and control technology which offers a novel approach to investigate the dynamics of such complex system. The simulations for the integrated control system along with multi body model of the vehicle are carried out for the control strategies, viz. continuous sky hook control, cascade loop control and cascade loop with ride control and compared with passive suspension system. The vehicle with 8x8 configuration is run on the real world obstacle profiles, viz. step, trench, trapezoidal bump and corrugated road and the effect of control strategies on ride comfort, wheel displacement and ground reaction is presented. It is observed that cascade loop with ride control in semi-active mode offers better vehicle ride comfort while crossing the said obstacles. The improved performance parameters are achieved through stabilisation of heave, pitch and roll motions of the vehicle through outer loop and isolation of vehicle level uneven disturbances through the fuzzy logic controller employed in inner loop.</p>

Actuator Power Consumption of Active Suspension System with Override Control Strategy

2014 ◽  
Vol 493 ◽  
pp. 438-443 ◽  
Author(s):  
Unggul Wasiwitono
Keyword(s):  
Power Consumption ◽  
Control Strategy ◽  
Ride Comfort ◽  
Actuator Saturation ◽  
Active Suspension ◽  
Suspension System ◽  
Control Input ◽  
Main Function ◽  
Alternative Approach ◽  
Nominal Performance

The main function of the vehicle suspension is to improve ride and handling performance. In vehicle active suspension, better ride comfort is usually required larger control input and larger suspension deflection. However, the actuator that deliver the control signal have a limitation which is commonly known as actuator saturation. There is also a structural constraint that limits the suspension deflection. In this study, an alternative approach to the vehicle active suspension system is proposed. In this approach, some separation in the controller such that one part is devoted to achieve nominal performance and the other part is devoted to constraint handling is performed. In addition, the actuator power consumption of the proposed control strategy is further investigated numerically. The simulation results show that the proposed control strategy can manage the trade-off between performance and the actuator power consumption.

Body attitude control strategy based on road level for heavy rescue vehicles

2020 ◽  
pp. 095440702096616
Author(s):  
Hao Chen ◽  
Mingde Gong ◽  
Dingxuan Zhao ◽  
Jianxu Zhu
Keyword(s):  
Control Strategy ◽  
Attitude Control ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Body ◽  
Vertical Acceleration ◽  
Inference System ◽  
The Road ◽  
Body Attitude

This paper proposes an attitude control strategy based on road level for heavy rescue vehicles. The strategy aims to address the problem of poor ride comfort and stability of heavy rescue vehicles in complex road conditions. Firstly, with the pressure of the suspension hydraulic cylinder chamber without a piston rod as the parameter, Takagi–Sugeno fuzzy controller classification and adaptive network-based fuzzy inference system controller classification are used to recognise the road level. Secondly, particle swarm optimisation is adopted to obtain the optimal parameters of the active suspension system of vehicle body attitude control under different road levels. Lastly, the parameters of the active suspension system are selected in accordance with the road level recognised in the driving process to improve the adaptive adjustment capability of the active suspension system at different road levels. Test results show that the root mean square values of vertical acceleration, pitch angle and roll angle of the vehicle body are reduced by 59.9%, 76.2% and 68.4%, respectively. This reduction improves the ride comfort and stability of heavy rescue vehicles in complex road conditions.

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