Intelligent Semi-Active Suspension Control Applied To A Half-Car Model

Stratis A. Kanarachos; Konstantinos N. Spentzas

Intelligent Semi-Active Suspension Control Applied To A Half-Car Model

Stratis A. Kanarachos
, Konstantinos N. Spentzas

National Technical University of Athens

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

Suspension feedback control has been investigated extensively in the last decade for active and semi-active suspension concepts. Various control concepts exist, like the linear-quadratic (LQ) state-vector feedback, the minimal variance principle, sliding mode control, H8 controllers, fuzzy control, etc. The present paper focuses on semi-active suspension via a modulated damper using a predictive nonlinear controller. The controller is optimized after a Pareto-optimum analysis and a post optimization procedure (Nelder-Mead algorithm). Simulation results for a half car model are presented and show a very satisfactory performance with respect to energy consumption and ride qualities for different bump amplitudes.

Original language	English
Title of host publication	European Automobile Engineers Cooperation - 10th EAEC European Automotive Congress, EAEC 2005
Pages	1437-1448
Number of pages	12
Volume	3
Publication status	Published - 1 Dec 2005
Event	10th EAEC European Automotive Congress - Belgrade, Serbia Duration: 30 May 2005 → 1 Jun 2005

Conference

Conference	10th EAEC European Automotive Congress
Country/Territory	Serbia
City	Belgrade
Period	30/05/05 → 1/06/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Nelder-Mead optimization
Pareto Analysis
Semi-active
Suspension Control

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Cite this

@inproceedings{425f2b885b9a4df0a2e7a9bca4e0026f,

title = "Intelligent Semi-Active Suspension Control Applied To A Half-Car Model",

abstract = "Suspension feedback control has been investigated extensively in the last decade for active and semi-active suspension concepts. Various control concepts exist, like the linear-quadratic (LQ) state-vector feedback, the minimal variance principle, sliding mode control, H8 controllers, fuzzy control, etc. The present paper focuses on semi-active suspension via a modulated damper using a predictive nonlinear controller. The controller is optimized after a Pareto-optimum analysis and a post optimization procedure (Nelder-Mead algorithm). Simulation results for a half car model are presented and show a very satisfactory performance with respect to energy consumption and ride qualities for different bump amplitudes.",

keywords = "Nelder-Mead optimization, Pareto Analysis, Semi-active, Suspension Control",

author = "Kanarachos, \{Stratis A.\} and Spentzas, \{Konstantinos N.\}",

year = "2005",

month = dec,

day = "1",

language = "English",

isbn = "9781604236040",

volume = "3",

pages = "1437--1448",

booktitle = "European Automobile Engineers Cooperation - 10th EAEC European Automotive Congress, EAEC 2005",

note = "10th EAEC European Automotive Congress ; Conference date: 30-05-2005 Through 01-06-2005",

}

TY - GEN

T1 - Intelligent Semi-Active Suspension Control Applied To A Half-Car Model

AU - Kanarachos, Stratis A.

AU - Spentzas, Konstantinos N.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Suspension feedback control has been investigated extensively in the last decade for active and semi-active suspension concepts. Various control concepts exist, like the linear-quadratic (LQ) state-vector feedback, the minimal variance principle, sliding mode control, H8 controllers, fuzzy control, etc. The present paper focuses on semi-active suspension via a modulated damper using a predictive nonlinear controller. The controller is optimized after a Pareto-optimum analysis and a post optimization procedure (Nelder-Mead algorithm). Simulation results for a half car model are presented and show a very satisfactory performance with respect to energy consumption and ride qualities for different bump amplitudes.

AB - Suspension feedback control has been investigated extensively in the last decade for active and semi-active suspension concepts. Various control concepts exist, like the linear-quadratic (LQ) state-vector feedback, the minimal variance principle, sliding mode control, H8 controllers, fuzzy control, etc. The present paper focuses on semi-active suspension via a modulated damper using a predictive nonlinear controller. The controller is optimized after a Pareto-optimum analysis and a post optimization procedure (Nelder-Mead algorithm). Simulation results for a half car model are presented and show a very satisfactory performance with respect to energy consumption and ride qualities for different bump amplitudes.

KW - Nelder-Mead optimization

KW - Pareto Analysis

KW - Semi-active

KW - Suspension Control

UR - https://www.scopus.com/pages/publications/84873580356

M3 - Conference proceeding

AN - SCOPUS:84873580356

SN - 9781604236040

VL - 3

SP - 1437

EP - 1448

BT - European Automobile Engineers Cooperation - 10th EAEC European Automotive Congress, EAEC 2005

T2 - 10th EAEC European Automotive Congress

Y2 - 30 May 2005 through 1 June 2005

ER -

Intelligent Semi-Active Suspension Control Applied To A Half-Car Model

Abstract

Conference

UN SDGs

Keywords

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