Intelligent modified internal model control for speed control of nonlinear uncertain heavy duty vehicles

被引：24

作者：

Yadav, Anil Kumar ^{[1
]}

Gaur, Prerna ^{[1
]}

机构：

[1] Netaji Subhas Inst Technol, New Delhi, India

来源：

ISA TRANSACTIONS | 2015年 / 56卷

关键词：

Adaptive control; Heavy duty vehicle; Internal model; Internal model control; Model order reduction; ORDER REDUCTION; POWER-SYSTEMS; DESIGN; ROBUST; THROTTLE; MOTOR;

D O I：

10.1016/j.isatra.2014.12.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The objective of this paper is to control the speed of heavy duty vehicle (HDV) through angular position of throttle valve. Modified internal model control (IMC) schemes with fuzzy supervisor as an adaptive tuning are proposed to control the speed of HDV. Internal model (IM) plays a key role in design of various IMC structures with robust and adaptive features. The motivation to design an IM is to produce nearly stable performance as of the system itself. Clustering algorithm and Hankel approximation based model order reduction techniques are used for the design of suitable IM. The time domain performance specifications such as overshoot, settling time, rise time and integral error performance indices such as the integral of the absolute error and the integral of the square of error are taken into consideration for performance analysis of HDV for various uncertainties. (C) 2014 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：288 / 298

页数：11

共 37 条

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