LPV gain-scheduling controller design for a non-linear quarter-vehicle active suspension system

2009 ◽  
Vol 31 (1) ◽  
pp. 71-95 ◽  
Author(s):  
C. Onat ◽  
I.B. Kucukdemiral ◽  
S. Sivrioglu ◽  
I. Yuksek ◽  
G. Cansever
Keyword(s):  
Controller Design ◽  
Active Suspension ◽  
Gain Scheduling ◽  
Suspension System ◽  
Non Linear

scholarly journals Multiobjective PID controller design for active suspension system: scalarization approach

2018 ◽  
Vol 8 (2) ◽  
pp. 183-194
Author(s):  
O. Tolga Altinoz
Keyword(s):  
Controller Design ◽  
Optimization Algorithms ◽  
Active Suspension ◽  
Suspension System ◽  
Peak Time ◽  
Tuning Method ◽  
Pid Tuning ◽  
Multiobjective Problem ◽  
The Time Domain ◽  
Single Objective

In this study, the PID tuning method (controller design scheme) is proposed for a linear quarter model of active suspension system installed on the vehicles. The PID tuning scheme is considered as a multiobjective problem which is solved by converting this multiobjective problem into single objective problem with the aid of scalarization approaches. In the study, three different scalarization approaches are used and compared to each other. These approaches are called linear scalarization (weighted sum), epsilon-constraint and Benson’s methods. The objectives of multiobjective optimization are selected from the time-domain properties of the transient response of the system which are overshoot, rise time, peak time and error (in total there are four objectives). The aim of each objective is to minimize the corresponding property of the time response of the system. First, these four objective is applied to the scalarization functions and then single objective problem is obtained. Finally, these single objective problems are solved with the aid of heuristic optimization algorithms. For this purpose, four optimization algorithms are selected, which are called Particle Swarm Optimization, Differential Evolution, Firefly, and Cultural Algorithms. In total,twelve implementations are evaluated with the same number of iterations. In this study, the aim is to compare the scalarization approaches and optimization algorithm on active suspension control problem. The performance of the corresponding cases (implementations) are numerically and graphically demonstrated on transient responses of the system.

Improved optimal sliding mode control for a non-linear vehicle active suspension system

2017 ◽  
Vol 395 ◽  
pp. 1-25 ◽  
Author(s):  
Shi-An Chen ◽  
Jun-Cheng Wang ◽  
Ming Yao ◽  
Young-Bae Kim
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Active Suspension ◽  
Suspension System ◽  
Mode Control ◽  
Non Linear

Controller Design and Road-Friendly Suspension Optimization: Half Vehicle Model

2020 ◽  
Author(s):  
Vikas Prasad ◽  
P. Seshu ◽  
Dnyanesh N. Pawaskar
Keyword(s):  
Controller Design ◽  
Active Suspension ◽  
Suspension System ◽  
Performance Criteria ◽  
Control Law ◽  
Vehicle Model ◽  
Nsga Ii ◽  
Suspension Systems ◽  
Active Suspension Systems ◽  
Active Damper

Abstract In this paper, the design of the suspension system for Heavy Goods Vehicles (HGV) is proposed, which deals with two performance criteria simultaneously. A semi-tractor trailer is used in present work and modeled with half vehicle model. Four types of linear, as well as non-linear, passive and semi-active suspension systems, are presented in this work. The control law is proposed for the semi-active suspension system using a PID controller to remove the need for passive damper along with active damper. Two objective optimization is performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Road Damage (RD) is taken as the first objective along with Goods Damage (GD) as the second objective. All problems are minimization problems. It is concluded based on Pareto front comparison of different suspension systems that the semi-active suspension system with the proposed control law performs well for HGV.

Development of Active Suspension System for a Pot Hole Using PID Controller

2011 ◽  
Vol 308-310 ◽  
pp. 2266-2270
Author(s):  
Mouleeswaran Senthilkumar
Keyword(s):  
Pid Controller ◽  
Ride Comfort ◽  
Control Method ◽  
Controller Design ◽  
Active Suspension ◽  
Suspension System ◽  
Operating Conditions ◽  
Hydraulic Actuator ◽  
Time Domains ◽  
Spool Valve

This paper describes the development of a controller design for the active control of suspension system, which improves the inherent tradeoff among ride comfort, suspension travel and road-holding ability. The developed design allows the suspension system to behave differently in different operating conditions, without compromising on road-holding ability. The effectiveness of this control method has been explained by data from time domains. Proportional-Integral-Derivative (PID) controller including hydraulic dynamics has been developed. The displacement of hydraulic actuator and spool valve is also considered. The Ziegler – Nichols tuning rules are used to determine proportional gain, reset rate and derivative time of PID controller. Simulink diagram of active suspension system is developed and analysed using MATLAB software. The investigations on the performance of the developed active suspension system are demonstrated through comparative simulations in this paper.

Effect of Non-Linear Components on the Performance of a Hydro -Pneumatic Slow-Active Suspension System

1996 ◽  
Vol 210 (1) ◽  
pp. 23-34 ◽  
Author(s):  
S M El-Demerdash ◽  
D A Crolla
Keyword(s):  
Linear Model ◽  
Linear Models ◽  
Ride Comfort ◽  
Active Suspension ◽  
Front Wheel ◽  
Suspension System ◽  
Approximation Technique ◽  
Active System ◽  
Working Space ◽  
Non Linear

In this work, the effects of component non-linearities on the ride performance of a hydro-pneumatic slow-active suspension system are studied theoretically. Based on the quarter car linear model, linear optimal control theory is used to calculate the feedback and feedforward gains. These gains are used in both linear and non-linear models with and without preview control. The Pade approximation technique is used to represent the preview time resulting from a preview sensor mounted on the vehicle front bumper to measure the road irregularities ahead of the front wheel. The results on a typical major road showed that at similar r.m.s. values of suspension working space, the non-linear slow-active system with preview provided a 28 per cent improvement in ride comfort and a 17 per cent reduction in dynamic tyre load compared with a passive system. However, the inclusion of non-linear effects of the components increases the ride comfort acceleration by 10 per cent and suspension working space by 12 per cent compared to the equivalent linear model at approximately equal values of r.m.s. dynamic tyre load.

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