An Adaptive Neural Network Controller for Active Suspension Systems With Hydraulic Actuator

被引：88

作者：

Liu, Yan-Jun ^{[1
]}

Zeng, Qiang ^{[1
]}

Liu, Lei ^{[1
]}

Tong, Shaocheng ^{[1
]}

机构：

[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Hydraulic actuators; Adaptation models; Adaptive control; Hydraulic systems; Backstepping; Vehicle dynamics; Active suspension systems (ASSs); adaptive control; dynamic surface control (DSC); hydraulic actuator; neural networks (NNs); DYNAMIC SURFACE CONTROL; UNCERTAIN NONLINEAR-SYSTEMS; SLIDING-MODE CONTROL; H-INFINITY CONTROL; TRACKING CONTROL; ROBUST-CONTROL; DELAY SYSTEMS; PERFORMANCE; OBSERVER; DESIGN;

D O I：

10.1109/TSMC.2018.2875187

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an adaptive neural network (NN) controller is proposed for a class of nonlinear active suspension systems (ASSs) with hydraulic actuator. To eliminate the problem of "explosion of complexity" inherently in the traditional backstepping design for the hydraulic actuator, a dynamic surface control technique is developed to stabilize the attitude of the vehicle by introducing a first-order filter. Meanwhile, the presented scheme improves the ride comfort even when the uncertain parameter exists. Due to the existence of uncertain terms, the NNs are used to approximate unknown functions in the ASSs. Finally, a simulation for a servo system with hydraulic actuator is shown to verify the effectiveness and reliability of the proposed approach.

引用

页码：5351 / 5360

页数：10

共 60 条

[1] Observer-Based Adaptive Fuzzy Control for a Class of Nonlinear Delayed Systems [J].

Chen, Bing ;

Lin, Chong ;

Liu, Xiaoping ;

Liu, Kefu .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (01) :27-36

[2] Fuzzy Approximation-Based Adaptive Control of Nonlinear Delayed Systems With Unknown Dead Zone [J].

Chen, Bing ;

Liu, Xiaoping ;

Liu, Kefu ;

Lin, Chong .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 22 (02) :237-248

[3] Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems [J].

Chen, C. L. Philip ;

Liu, Yan-Jun ;

Wen, Guo-Xing .

IEEE TRANSACTIONS ON CYBERNETICS, 2014, 44 (05) :583-593

[4] AN INTEGRATION OF NEURAL-NETWORK AND RULE-BASED SYSTEMS FOR DESIGN AND PLANNING OF MECHANICAL ASSEMBLIES [J].

CHEN, CLP ;

PAO, YH .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (05) :1359-1371

[5] FPSO-Shuttle tanker collision risk reduction [J].

Chen, HB ;

Moan, T .

JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2005, 127 (04) :345-352

[6] New model-free adaptive sliding controller for active suspension system [J].

Chen, Hung-Yi ;

Huang, Shiuh-Jer .

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2008, 39 (01) :57-69

[7] Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System [J].

Chen, Mou ;

Shi, Peng ;

Lim, Cheng-Chew .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (02) :260-270

[8] Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities [J].

Chen, Mou ;

Ge, Shuzhi Sam ;

How, Bernard Voon Ee .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (05) :796-812

[9] Adaptive sliding control of active suspension systems with uncertain hydraulic actuator dynamics [J].

Chen, PC ;

Huang, AC .

VEHICLE SYSTEM DYNAMICS, 2006, 44 (05) :357-368

[10] Adaptive multiple-surface sliding control of hydraulic active suspension systems based on the function approximation technique [J].

Chen, PC ;

Huang, AC .

JOURNAL OF VIBRATION AND CONTROL, 2005, 11 (05) :685-706

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