Design of State-Feedback Controller for Vehicle Suspension System via Intensified Current Search

2019 ◽  
Author(s):  
Wattanawong Romsai ◽  
Auttarat Nawikavatan
Keyword(s):  
State Feedback ◽  
Suspension System ◽  
Feedback Controller ◽  
Vehicle Suspension ◽  
State Feedback Controller ◽  
Vehicle Suspension System

Active Vehicle Suspension Control Using Full State-Feedback Controller

2015 ◽  
Vol 1115 ◽  
pp. 440-445 ◽  
Author(s):  
Musa Mohammed Bello ◽  
Amir Akramin Shafie ◽  
Raisuddin Khan
Keyword(s):  
State Feedback ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Feedback Controller ◽  
Vehicle Suspension ◽  
Passive Suspension ◽  
Full State ◽  
Full State Feedback ◽  
Passive Suspension System

The main purpose of vehicle suspension system is to isolate the vehicle main body from any road geometrical irregularity in order to improve the passengers ride comfort and to maintain good handling stability. The present work aim at designing a control system for an active suspension system to be applied in today’s automotive industries. The design implementation involves construction of a state space model for quarter car with two degree of freedom and a development of full state-feedback controller. The performance of the active suspension system was assessed by comparing it response with that of the passive suspension system. Simulation using Matlab/Simulink environment shows that, even at resonant frequency the active suspension system produces a good dynamic response and a better ride comfort when compared to the passive suspension system.

Controlling Chaos in Automobile Suspension System with Nonlinear Feedback Controller

2014 ◽  
Vol 602-605 ◽  
pp. 1103-1108 ◽  
Author(s):  
Li Jie Chen
Keyword(s):  
Control Method ◽  
Gain Coefficient ◽  
Suspension System ◽  
Feedback Controller ◽  
Magnetorheological Damper ◽  
Vehicle Suspension ◽  
Nonlinear Feedback ◽  
Chaotic Motions ◽  
System Properties ◽  
Vehicle Suspension System

To improve the vehicle comfort, Magnetorheological damper is installed on the vehicle suspension system. So the system with hysteretic nonlinearity is a typical nonlinear system. First, the behavior of system under the periodic excitation force is analyzed, and the possibility of chaos is proved in the paper. Then, with piecewise-quadric function employed, the nonlinear feedback controller can be used to control the chaos. At the same time, Melnikov’s method is used to gain coefficient of controller. Numerical simulation shows that this method can the effectively guide chaotic motions toward regular motions. This control method is quite simple and effective without affecting the system properties. The results may supply theoretical bases for analysis and optimal design of vehicle suspension systems.

scholarly journals State Feedback Controller Design of an Active Suspension System for Vehicles Using Pole Placement Technique

2019 ◽  
Author(s):  
Andrea Wéber ◽  
Miklós Kuczmann
Keyword(s):  
State Feedback ◽  
Traffic Accidents ◽  
Controller Design ◽  
Active Suspension ◽  
Suspension System ◽  
Feedback Controller ◽  
Pole Placement ◽  
State Feedback Controller ◽  
The Road ◽  
Quarter Car Model

The paper presents a method for designing a state feedback controller of an active suspension system of a quarter car model. This is a survey based on a specific example. The designed controller of the active suspension system improves the driving control, safety and stability, because during the ride, the periodic swinging motion generated by the road irregularities on wheels can be decreased. This periodic motion damages the driving comfort, and may cause traffic accidents. The state feedback controller is designed to stand road induced displacements. Computer simulations of the designed controller have been performed in the frame of Scilab and XCos.

Fuzzy Comprehensive Evaluation for Two Kinds of Suspension Controllers

2017 ◽  
Vol 865 ◽  
pp. 561-564
Author(s):  
Rong Rong Song
Keyword(s):  
Genetic Algorithm ◽  
State Feedback ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Suspension System ◽  
The State ◽  
Feedback Controller ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
State Feedback Controller

In order to improve the nonlinear and uncertain characteristics of the suspension system, using the differential geometry, the suspension system is transformed into two linear subsystems. The state feedback controller and the proportional integral derivative (PID) controller based on the genetic algorithm are designed, and the fuzzy comprehensive evaluation method based on the analytic hierarchy process is modified, which can evaluate the suspension performance of the controllers. The evaluation results show that the proportional integral derivative controller with the genetic algorithm is better than the state feedback controller.

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