检索结果-内蒙古大学图书馆

Application of shape memory alloy actuators for flexure control: Theory and experiments

IEEE-ASME TRANSACTIONS ON MECHATRONICS 2005年第5期10卷 495-501页

作者： Moallem, M Lu, J Univ Western Ontario Dept Elect & Comp Engn London ON Canada Siemens VDO Automot London ON Canada

This paper presents a nonlinear control scheme for deflection control of a flexible beam using shape memory alloy (SMAs) actuators. These actuators possess interesting properties in terms of force generation capacity, possibility of miniaturization, and power consumption. However, their use in precision applications is hampered by undesirable characteristics, such as nonlinearities, hysteresis, extreme temperature dependencies, and slow response. By taking into account the nonlinear and thermal characteristics, a control scheme based on partial feedback linearization is developed to regulate the forces exerted by a differential SMA actuator pair attached to a flexible beam. The regulated force corresponds to a specific position of the flexible beam;hence, regulating the force results in position regulation. Using a Lyapunov stability analysis, qualitative guidelines are provided for selecting controller gain parameters. Furthermore, performance of the developed control scheme is tested experimentally on a laboratory testbed.

关键词： flexure control input-output linearization lyapunov stability shape memory actuators (SMAs)

来源：评论

学校读者我要写书评

暂无评论

High-performance control of a dual stator winding DC power induction generator

引用

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2007年第2期43卷 582-592页

作者： Wu, Zhiqiao Ojo, Olorunfemi Sastry, Jyoti Tennessee Technol Univ Dept Elect & Comp Engn Ctr Energy Syst Res Lab Elect Machines & Power El Cookeville TN 38505 USA

This paper investigates the use of a dual stator winding squirrel-cage induction machine for generating dc power using series- or parallel-connected ac-dc pulse width modulation rectifiers. The operating principles and constraints when generating under minimum total copper-loss condition are explored using the machine steady-state model considering magnetizing flux saturation effects. Regulation of the dc voltage using concepts of the nonlinear input-output linearization method including the design of the controllers is set forth and confirmed to be effective by computer simulation results. Some experimental waveforms of the generator under load are also included in this paper.

关键词： converter excitation dc power generation dual stator winding input-output linearization saturation effect

来源：评论

学校读者我要写书评

暂无评论

Multivariable nonlinear control applications for a high purity distillation column using a recurrent dynamic neuron model

引用

JOURNAL OF PROCESS CONTROL 1997年第4期7卷 255-268页

作者： Shaw, AM Doyle, FJ PURDUE UNIV SCH CHEM ENGNW LAFAYETTEIN 47907

A dynamic, nonlinear, multi-input multi-output application using the Recurrent Dynamic Neuron Network (RDNN) model is presented for a two-by-two distillation column case study. It is shown that the RDNN model, though compact (in terms of number of neurons and parameters to be estimated) performs well in both open- and closed-loop simulations. Open-loop simulations show that the RDNN is able to predict nonlinear output responses. The dual composition control problem is also investigated to demonstrate the model-based applications attainable with the RDNN. Due to the control affine nature of the RDNN structure, and the fact that it has finite vector relative degree, input-output linearization techniques were used within the Internal Model Control framework for controller design. Nonlinear Model Predictive Control applications were also demonstrated using the RDNN. Simulations show that a combination of closed-loop and open-loop identification for the RDNN model results in a model-based controller which achieves robust closed-loop performance. (C) 1997 Elsevier Science Ltd.

关键词： dynamic neural networks nonlinear systems input-output linearization

来源：评论

学校读者我要写书评

暂无评论

Robust controller synthesis for multivariable nonlinear systems with unmeasured disturbances

引用

CHEMICAL ENGINEERING SCIENCE 2004年第5期59卷 977-986页

作者： Elisante, E Rangaiah, GP Palanki, S Natl Univ Singapore Dept Chem & Biomol Engn Singapore 119260 Singapore Florida State Univ Dept Chem Engn Tallahassee FL 32310 USA Florida A&M Univ Tallahassee FL 32310 USA

This work concerns robust controller synthesis using the differential geometric concepts for minimum phase nonlinear systems with immeasurable disturbances. A pseudo-linearization of the disturbance model at the input-output linearization stage is applied to yield a linear subsystem for controller design. Based on this linear model, a multi-loop controller framework is implemented, whereby mu-synthesis is used to design off-line robust controller in the outer loop while state feedback is implemented in the inner loop. Through proper selection of weights, the outer robust controller is explicitly designed to address both uncertainty and disturbance rejection whereas the inner controller is used for on-line static state feedback. Numerical simulations are used to illustrate robustness of the controller for multi-input multi-output temperature control in two non-isothermal continuous stirred tank reactors in series. (C) 2003 Elsevier Ltd.

关键词： nonlinear control input-output linearization robust stability chemical processes multivariable systems process control

来源：评论

学校读者我要写书评

暂无评论

High-performance control of a boost AC-DC PWM Rectifier/Induction generator system

引用

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2006年第5期42卷 1146-1154页

作者： Sastry, Jyoti Ojo, Olorunfemi Wu, Zhiqiao Tennessee Technol Univ Ctr Energy Syst Res Lab Elect Machines & Power El Dept Elect & Comp Engn Cookeville TN 38505 USA

This paper presents a control methodology for the dc voltage regulation of an induction generator/ac-dc boost rectifier system, in which the copper loss of the generator is minimized. With the aid of an input-output linearization technique, which linearizes and decouples the model equations in the synchronous reference frame, a rotor-flux-vector-control-type high performance is achieved. Steady-state analysis provides some insights into the operability regime of the generator. The effectiveness of the control scheme under different load conditions as well as varying rotor speeds has been demonstrated by computer simulations. Some experimental results have been included.

关键词： AC-DC pulsewidth-modulation (PWM) rectifier butterworth polynomials excitation induction generator input-output linearization magnetizing flux saturation

来源：评论

学校读者我要写书评

暂无评论

Scalable Slip Control With Torque Vectoring Including input-to-State Stability Analysis

引用

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 2023年第3期31卷 1250-1265页

作者： Degel, Wolfgang Lupberger, Stefan Odenthal, Dirk Bajcinca, Naim Univ Kaiserslautern Dept Mech & Proc Engn D-67663 Kaiserslautern Germany BMW M GmbH Dept Elect D-85748 Garching Germany

Electric motors offer new opportunities and challenges for wheel slip control and improve performance during accelerating, braking, and dynamic cornering. This work proposes a robust slip control system for electric vehicles. The system is suitable for a driven axle with two electric motors or a single electric motor and an electronically controlled differential. The torque is controlled individually for each wheel, enabling lateral torque distribution. The control design considers the torsional dynamics of the drive shafts and is performed via input-output linearization. The internal dynamics and the overall closed-loop system are analyzed regarding input-to-state stability. The approach is implemented on a prototype vehicle with two electric motors on the rear axle. The control performance is experimentally analyzed for accelerating on a road with different road surfaces on the left-and right-hand sides. The results show good tracking behavior, oscillation damping, disturbance attenuation, and robustness for various setpoints. The presented slip controller can be combined with high-level control systems to further shape the driving behavior.

关键词： Wheels Torque Electric motors Mechanical power transmission Vehicle dynamics Control systems Behavioral sciences Electric vehicles input-output linearization input-to-state stability (ISS) slip control torque vectoring

来源：评论

学校读者我要写书评

暂无评论

Nonlinear control of nonsquare multivariable systems

引用

CHEMICAL ENGINEERING SCIENCE 2001年第6期56卷 2103-2110页

作者： Kolavennu, S Palanki, S Cockburn, JC Florida A&M Univ Florida State Univ Coll Engn Dept Chem Engn Tallahassee FL 32310 USA

This paper is concerned with the synthesis of a nonlinear state feedback law for nonsquare multivariable nonlinear systems. Previous approaches in the literature have solved this problem by (1) squaring the system by discarding some inputs or by adding new outputs, or (2) by utilizing some inputs for input/output (I/O) linearization and the remaining inputs for minimizing cost. In this paper, a nonlinear feedback: law is synthesized which utilizes all the available inputs to I/O linearize the system and minimize the cost of the control effort by solving a convex optimization problem on-line. This procedure is illustrated via simulation of a regulation problem in a nonlinear continuous stirred tank reactor with three inputs and two outputs. (C) 2001 Elsevier Science Ltd. All rights reserved.

关键词： input-output linearization nonsquare systems pseudo-inverse

来源：评论

学校读者我要写书评

暂无评论

Nonlinear feedback control of multivariable non-minimum-phase processes

引用

JOURNAL OF PROCESS CONTROL 2002年第6期12卷 667-686页

作者： Kanter, JM Soroush, M Seider, WD Drexel Univ Dept Chem Engn Philadelphia PA 19104 USA Univ Penn Dept Chem Engn Philadelphia PA 19104 USA

A new method of controlling nonlinear processes with a non-mininium-phase delay-free part is presented. Two control laws are derived for stable, multiple-input multiple-output processes. They are obtained by requesting an approximately linear. input-output response and exploiting the connections between model-predictive control and input-output linearization. Conditions under which the closed-loop system is asymptotically stable are given. The application and performance of the control laws are illustrated using numerical simulation of two chemical reactor examples that exhibit non-minimum-phase behavior. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： nonlinear control state feedback design input-output linearization zero dynamics non-minimum-phase systems model-based control

来源：评论

学校读者我要写书评

暂无评论

Modeling and nonlinear control of magnetic levitation systems

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2001年第4期48卷 831-838页

作者： El Hajjaji, A Ouladsine, M Ctr Rech Robot Electrotech & Automat F-80000 Amiens France

In this paper, we propose a nonlinear model for magnetic levitation systems which is validated with experimental measurements. Using this model, a nonlinear control law based on differential geometry is firstly synthesized. Then, its real-time implementation is developed. In order to highlight the performance of the proposed control law, experimental results are given.

关键词： input-output linearization magnetic levitation systems modelization real-time control

来源：评论

学校读者我要写书评

暂无评论

Adaptive neural network control of nonlinear systems with unknown dynamics

引用

ADVANCES IN SPACE RESEARCH 2021年第3期67卷 1114-1123页

作者： Cheng, Lin Wang, Zhenbo Jiang, Fanghua Li, Junfeng Beihang Univ Sch Astronaut Beijing Peoples R China Univ Tennessee Dept Mech Aerosp & Biomed Engn Knoxville TN 37996 USA Tsinghua Univ Sch Aerosp Engn Beijing Peoples R China

In this study, an adaptive neural network control approach is proposed to achieve accurate and robust control of nonlinear systems with unknown dynamics, wherein the neural network is innovatively used to learn the inverse problem of system dynamics with guaranteed convergence. This study focuses on the following three contributions. First, the considered system is transformed into a multi-integrator system using an input-output linearization technique, and an extended state observation technique is used to identify the transformed states. Second, an iterative control learning algorithm is proposed to achieve the neural network training, and stability analysis is given to prove that the network's predictions converge to ideal control inputs with guaranteed convergence. Third, an adaptive neural network controller is developed by combining the trained network and a proportional-integral controller, and the long-standing challenge of model-based methods for control determination of unknown dynamics is resolved. Simulation results of a virtual control mission and an aerospace altitude tracking mission are provided to substantiate the effectiveness of the proposed techniques and illustrate the adaptability and robustness of the proposed controller. (C) 2020 COSPAR. Published by Elsevier Ltd. All rights reserved.

关键词： Unknown dynamics input-output linearization Extended state observation Iterative control learning Adaptive network 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：