ADAPTIVE ROBUST CONTROL FOR ACTIVE SUSPENSION SYSTEM USING T–S FUZZY MODEL APPROACH

2018 ◽  
Vol 46 (2) ◽  
Author(s):  
Chenyu Zhou ◽  
Xuan Zhao ◽  
Qiang Yu
Keyword(s):  
Robust Control ◽  
Fuzzy Model ◽  
Active Suspension ◽  
Suspension System ◽  
Adaptive Robust Control ◽  
Model Approach

scholarly journals Control of active suspension system using H∞ and adaptive robust controls

2015 ◽  
Vol 18 (1) ◽  
pp. 5-13
Author(s):  
Trong Hieu Bui ◽  
Quoc Toan Truong
Keyword(s):  
Robust Control ◽  
Control Method ◽  
Active Suspension ◽  
Suspension System ◽  
Adaptive Robust Control ◽  
Quarter Car Model ◽  
Road Disturbance ◽  
Time Domains ◽  
Suspension Dynamics ◽  
Two Degree Of Freedom

This paper presents a control of active suspension system for quarter-car model with two-degree-of-freedom using H∞ and nonlinear adaptive robust control method. Suspension dynamics is linear and treated by H∞ method which guarantees the robustness of closed loop system under the presence of uncertainties and minimizes the effect of road disturbance to system. An Adaptive Robust Control (ARC) technique is used to design a force controller such that it is robust against actuator uncertainties. Simulation results are given for both frequency and time domains to verify the effectiveness of the designed controllers.

Robust control for active suspension system under steering condition

2016 ◽  
Vol 60 (2) ◽  
pp. 199-208 ◽  
Author(s):  
ChunYan Wang ◽  
Ke Deng ◽  
WanZhong Zhao ◽  
Guan Zhou ◽  
XueSong Li
Keyword(s):  
Robust Control ◽  
Active Suspension ◽  
Suspension System

Regeneration Energy for Nonlinear Active Suspension System Using Electromagnetic Actuator

2020 ◽  
Vol 16 (2) ◽  
pp. 113-125
Author(s):  
Ammar Aldair ◽  
Eman Alsaedee
Keyword(s):  
Control System ◽  
Electrical Power ◽  
Fuzzy Model ◽  
Nonlinear Behavior ◽  
Active Suspension ◽  
Suspension System ◽  
Mechanical Power ◽  
Electromagnetic Actuator ◽  
Harmful Emission ◽  
Road Disturbance

The main purpose of using the suspension system in vehicles is to prevent the road disturbance from being transmitted to the passengers. Therefore, a precise controller should be designed to improve the performances of suspension system. This paper presents a modeling and control of the nonlinear full vehicle active suspension system with passenger seat utilizing Fuzzy Model Reference Learning Control (FMRLC) technique. The components of the suspension system are: damper, spring and actuator, all of those components have nonlinear behavior, so that, nonlinear forces that are generated by those components should be taken into account when designed the control system. The designed controller consumes high power so that when the control system is used, the vehicle will consume high amount of fuel. It notes that, when vehicle is driven on a rough road; there will be a shock between the sprung mass and the unsprung mass. This mechanical power dissipates and converts into heat power by a damper. In this paper, the wasted power has reclaimed in a proper way by using electromagnetic actuator. The electromagnetic actuator converts the mechanical power into electrical power which can be used to drive the control system. Therefore, overall power consumption demand for the vehicle can be reduced. When the electromagnetic actuator is used three main advantages can be obtained: firstly, fuel consumption by the vehicle is decreased, secondly, the harmful emission is decreases, therefore, our environment is protected, and thirdly, the performance of the suspension system is improved as shown in the obtained results.

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