检索结果-内蒙古大学图书馆

19th IFAC symposium on System Identification (SYSID)

作者： Lailler, Manon Giri, Fouad Ahmed-Ali, Tarek Normandie Univ LAC ENSICAEN UNICAEN F-14032 Caen France

We are considering the problem of sampled-data observer design for nonlinear time-varying delay systems that are state- and parameter-affine. The novelty is that the system is subject to both distributed delay and parameter uncertainty. A Kalman-like observer is developed to deal with both state and parameter estimation. Its main components are: (i) a time-varying-gain state-estimator involving both output and parameter rate injections;(ii) a distributed-nature adaptive output-predictor that compensates for delay and output sampling delay;(iii) an optimized parameter-estimator that copes with parameter uncertainty, optimization is intended in the sense that we make use of all available information, unlike similar existing estimators. The resulting observer is shown to be exponentially convergent, for small delays and sampling intervals, provided the input signal is sufficiently exciting. The analysis is performed using a Lyapunov-Krasovskii functional, Halanays lemma, Wirtingers inequality and other tools. Copyright (C) 2021 The Authors.

关键词： Lyapunov functions

来源：评论

学校读者我要写书评

暂无评论

4th symposium on Intelligent Manufacturing and Mechatronics, SIMM2021

4th Symposium on Intelligent Manufacturing and Mechatronics,...

引用

4th symposium on Intelligent Manufacturing and Mechatronics, SIMM2021

ISBN: (纸本)9789811689536

The proceedings contain 53 papers. The special focus in this conference is on Intelligent Manufacturing and Mechatronics. The topics include: design and Analysis of Modified nonlinear PID controller for Disturbance Suppression in Machine Tools;Enhance Ride Comfort and Road Handling on Active Suspension System by PSO-Based State-Feedback controller;the Development of Underwater Crawler Attachment for Remotely Operated Underwater Vehicle;analysis and Development of a Self-dimming Traffic Light System;pressure Analysis in Water Hydraulics Machine: Continuous and Intermittent Extrusion Cycle in Dough Extrusion;Investigation on Disturbance Force Compensation via State observer design and Cascade P/PI controller Approach;review of Recent Grid Synchronization Techniques and Phase-Locked Loops for Power Converters;fuzzy Logic Approach to Fire Monitoring and Warning System design;pressure Analysis in Water Hydraulics Machine: Dough and Aluminum Beverage Can Compression Test;automated Modulated Parameter Implementation Using Neural Network for Enhancement of Paint Spray;performance Evaluation of Intelligent Fire Alarm System with Multi Data Fusion Sensor by Using IoT Platform;design and Development of Handheld Soil Assessment by Using Ion-Selective Electrode for Site-Specific Available Potassium in Oil Palm Plantation;performance Evaluation of Energy Harvesting Method for Wireless Charging System in Wearable Travel Aid Device for Visually Impaired Person;design and Application of ST-SMC controller for Position control of a Milling Table;lean Manufacturing design of a Two-Sided Assembly Line Balancing Problem Work Cell;Partial Transmit Sequence (PTS) Optimization Using Improved Harmony Search (IHS) Algorithm for PAPR Reduction in OFDM;structural Vibration Study of a New Concept Intelligent Rubber Tapping Machine.

关键词：

来源：评论

学校读者我要写书评

暂无评论

PIO Based Data-Driven Iterative Learning control for nonlinear Batch Processes with Nonrepetitive Disturbances Subject to Input Constraints 16

PIO Based Data-Driven Iterative Learning Control for Nonline...

引用

16th IFAC symposium on Advanced control of Chemical Processes (ADCHEM)

作者： Hao, Shoulin Liu, Tao Paszke, Wojciech Dalian Univ Technol Minist Educ Key Lab Intelligent Control & Optimizat Ind Equip Dalian 116024 Peoples R China Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China Univ Zielona Gora Inst Automat Elect & Elect Engn Ul Szafrana 2 PL-65516 Zielona Gora Poland

This paper proposes a novel proportional-integral observer (PIO) based high-order data-driven iterative learning control (HODDILC) for nonlinear batch processes with non-repetitive disturbances subject to input constraints. First, an equivalent dynamic linearization data model (DLDM) with an uncertainty term arising from the nonrepetitive disturbances is constructed in the batch direction. Based on the established DLDM along with a gradient estimation algorithm, a data-driven PIO is then designed to estimate the uncertainty term along the batch direction, followed by designing a HODDILC law in terms of the tracking errors over more than one previous batches and control inputs in the previous time instants of the current batch. Using the contraction mapping principle and matrix theory, rigorous convergence analysis is conducted in the iteration domain. A notable advantage of the proposed design is that only input and output measurement data are used rather than a process model. Finally, an illustrative example from the literature is given to demonstrate the effectiveness and merit of the proposed method. Copyright (C) 2021 The Authors.

关键词： nonlinear batch processes nonrepetitive disturbances input constraints proportional-integral observer data-driven iterative learning control

来源：评论

学校读者我要写书评

暂无评论

Sensorless control of Electrically Excited Synchronous Machines Using Moving Horizon Estimation Considering nonlinear Flux Linkage

Sensorless Control of Electrically Excited Synchronous Machi...

引用

Power Electronics (Ee)

作者： Yuebin Pang Jovan Knezevic Daniel Glose Christoph Hackl BMW AG Munich Germany Hochschule München (HM) University of Applied Sciences Munich Germany

The extended Kalman filter (EKF) is widely used for state estimation considering parameter uncertainties and measurement noise. For systems with significant nonlinearity, moving horizon estimation becomes an interesting alternative to the EKF. The electrically excited synchronous machine (EESM) usually inherits a large nonlinearity in the flux linkage for operation under field weakening. Recent active flux models consider the flux linkage nonlinearity in observer design, which improves the estimation performance. In this paper, the MHE is applied for the sensorless EESM drive based on the active flux model considering the flux linkage nonlinearity. The nonlinearity of the observer caused by speed and current variations is considered. Two types of cost functions are compared. The comparative simulation results are studied for MHE and EKF, with respect to both speed and torque step changes.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Sliding Mode control for a Hydraulic Position Servo System 1

引用

7th International symposium on Artificial Intelligence and Robotics (ISAIR)

作者： Yang, Mingxing Lu, Yaxing Xia, Yulei Ma, Kaiwei Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan 243032 Peoples R China Anhui Univ Technol Coll Mech Engn Maanshan 243032 Peoples R China Nanjing Univ Posts & Telecommun Coll Automat Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun Coll Artificial Intelligence Nanjing 210023 Peoples R China

ISBN: (数字)9789811979460

ISBN: (纸本)9789811979453;9789811979460

The electro-hydraulic system is a typical complex system with nonlinear and high-order characteristics, which could seriously restrict the application of many advanced control algorithms. In this study, a sliding mode controller (SMC) based on adaptive neural network is proposed for a hydraulic position servo system with nonlinearity and parameter uncertainties. Structure design of a rotary hydraulic actuator is first introduced, and mathematical model of the hydraulic position servo system is constructed based on dynamic characteristics of the servo valve and the liquid flow continuity equation. Next, the adaptive neural network algorithm and sliding mode control technique are effectively combined to realize that the position signal of the hydraulic joint can be tracked along the desired command quickly and effectively. The SMC is adopted for its robustness against the uncertainty and nonlinearity of the target system, whereas the higher-order neural network observer is utilized to compensate parametric uncertainties to improve the accuracy. In addition, the closed-loop asymptotic stability of the designed control strategy is guaranteed by employing the Lyapunov theory. To investigate the tracking performance of the proposed controller, numerical simulation experiments have carried out and the results demonstrated the effectiveness of proposed control scheme.

关键词： Electro-hydraulic system Parameter uncertainties Sliding mode controller High-order neural network

来源：评论

学校读者我要写书评

暂无评论

Online vehicle aerodynamic drag observer with Kalman filters 16th

Online vehicle aerodynamic drag observer with Kalman filters

引用

16th IFAC symposium on control in Transportation Systems (CTS)

作者： El Gaouti, Y. Colin, G. Thiam, B. Mazellier, N. Univ Orleans Lab PRISME 8 Rue Leonard de Vinci F-45072 Orleans France

Aerodynamic drag is an important contributor to vehicle energy consumption, especially in highway conditions. Hence, estimating on-line the aerodynamic drag, or equivalently its coefficient, is an interesting challenge in order to reduce the energy consumption of vehicles. However, real systems are characterized by noisy sensor measurements. Extended Kalman Filter (EKF) is a commonly used algorithm for parameter estimation due to its stochastic filtering properties and is based on a first order approximation of the system dynamics. Similarly, the Unscented Kalman Filter (UKF) has been proposed as an alternative to the EKF in the field of nonlinear filtering and has received great attention in parameter estimation. This paper presents these two observers EKF and UKF for online estimation of the aerodynamic drag coefficient, based on noisy sensor measurements of a vehicle velocity, powertrain wheel torque and a longitudinal dynamic vehicle model. The design of the estimators is described and the performances are assessed against real measurements. The robustness is evaluated with different spoiler positions and the optimal position corresponding to a minimum of the aerodynamic drag coefficient is confirmed. Two different masses are used to validate each estimator. Copyright (C) 2021 The Authors.

关键词： Drag vehicle observer Extended Kalman Filter Unscented Kalman Filter nonlinear System Experimental results

来源：评论

学校读者我要写书评

暂无评论

Fault-Tolerant control for Polynomial Fuzzy Systems based on Sum of Squares

Fault-Tolerant Control for Polynomial Fuzzy Systems based on...

引用

2021 CAA symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2021

作者： Han, Weixin Long, Pan Northwestern Polytechnical University School of Automation Xi'an China

ISBN: (纸本)9781665401159

This paper studies an active fault-tolerant control method for polynomial fuzzy systems (PFS) based on sum of square (SOS). The active fault-tolerant control method includes fault estimation and fault accommodation. First, an observer is designed to estimate the actuator fault and the state. Then, the fault accommodation is used to compensate the actuator fault online. The design conditions are derived from SOS formula. Finally, the feasibility and effectiveness are verified through the simulation of a numerical nonlinear model. © 2021 IEEE.

关键词： Actuators

来源：评论

学校读者我要写书评

暂无评论

A filtered high gain observer for a class of non uniformly observable systems - Application to a phytoplanktonic growth model

引用

JOURNAL OF PROCESS control 2020年 87卷 68-78页

作者： Robles-Magdaleno, J. L. Rodriguez-Mata, A. E. Farza, M. M'Saad, M. CONACYT Tecnol Nacl Mexico ITCuliacan Juan Dios Batiz S-N Col Guadalupe Culiacan Sinaloa Mexico Normandie Univ ENSICAEN LAC UNICAEN F-14000 Caen France

The design of a high gain observer with filtering capabilities for a class of non uniformly observable systems is proposed. The filtering feature enables to perform a smooth estimation in the presence of noisy output measurements. Of fundamental interest, the Filtered High Gain observer (FHGO) design is first carried out by assuming that the output measurements are available in a continuous manner before being extended to the case of sampled outputs leading thereby to a continuous-discrete time FHGO which inherits the main properties of the original FHGO. The performance of the FHGO and its main properties are highlighted and compared to those of a Standard High Gain observer (SHGO) through a bioprocess dealing with the growth of a phytoplanktonic population. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： nonlinear systems Standard high gain observers Filtered high gain observers Phytoplanktonic

来源：评论

学校读者我要写书评

暂无评论

Integrated design of guidance and control system considering body line-of-sight angle and input constraints 7

Integrated design of guidance and control system considering...

引用

7th symposium on Novel Photoelectronic Detection Technology and Applications

作者： Shao Maosen Xu Cheng Zhou Jun Zhao Bin Northwestern Polytech Univ Xian 710072 Peoples R China Sci & Technol Complex Syst Control & Intelligence Beijing 100074 Peoples R China

ISBN: (数字)9781510643628

ISBN: (纸本)9781510643628

Compared with the traditional gimbal seeker, the coupling of guidance loop and control loop is more easily caused by the strapdown seeker, so the field-of-view (FOV) limit of the strapdown seeker is more easily violated. To solve this problem, an integrated guidance and control method considering the seeker's FOV constraints and input constraints is proposed. Firstly, the line-of-sight (LOS) decoupling principle of strapdown seeker was performed on the traditional integrated guidance and control (IGC) model to deal with the problem of FOV constraint, and then the actuator saturation was employed to build a nonlinear strict feedback state equation with unmatched uncertainties. Secondly, the dynamic surface control (DSC) based IGC law considering body line-of-sight angle (BOLS) and input constraints was designed with the extended state observer (ESO) to estimate and compensate the uncertainties. To deal with the FOV and input constraints, the barrier Lyapunov function and Nussbaum function were employed, respectively. Finally, The stability of the closed loop system was proved by using Lyapunov stability theory and numerical simulation verified the effectiveness of the proposed method.

关键词： Integrated guidance and control Field-of-view constraint Input constraint Barrier Lyapunov function Nussbaum function

来源：评论

学校读者我要写书评

暂无评论

Adaptive output regulation via nonlinear Luenberger observer-based internal models and continuous-time identifiers

引用

AUTOMATICA 2020年 122卷 109261-109261页

作者： Bernard, Pauline Bin, Michelangelo Marconi, Lorenzo PSL Univ MINES ParisTech Ctr Automat & Syst 60 Blvd St Michel F-75006 Paris France Imperial Coll London Dept Elect & Elect Engn South Kensington Campus London SW7 2AZ England Univ Bologna Ctr Res Complex Automated Syst Dept Elect Comp Sci & Syst DEI Viale Pepoli 3-2 I-40123 Bologna Italy

In Marconi et al. (2007), the theory of nonlinear Luenberger observers was exploited to prove that a solution to the asymptotic output regulation problem for minimum-phase normal forms always exists. The paper provided an existence result and a very general regulator structure, although unfortunately, no constructive method was given to design all the degrees of freedom of the regulator. In this paper, we complete this design by introducing an adaptive unit tuning the regulator online by employing system identification algorithms selecting the "best"parameters according to a certain optimization policy. Instead of focusing on a single identification scheme, we give general conditions under which an algorithm may be used in the framework, and we develop a particular least-squares identifier satisfying these requirements. Closed-loop stability results are given, and it is shown that the asymptotic regulation error is related to the prediction capabilities of the identifier evaluated along the ideal error-zeroing steady-state trajectories. (c) 2020 Elsevier Ltd. All rights reserved.

关键词： Output regulation Adaptive output regulation Identification for control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：