Modeling and Control of an Electrorheological Sandwich Beam

1998 ◽  
Vol 120 (1) ◽  
pp. 221-227 ◽  
Author(s):  
C. D. Rahn ◽  
S. Joshi
Keyword(s):  
Control System ◽  
Axial Velocity ◽  
Sandwich Beam ◽  
Beam Theory ◽  
Lyapunov Theory ◽  
Control Law ◽  
Feedback Controllers ◽  
Modeling And Control ◽  
Beam Voltage ◽  
And Control

This paper introduces models for electrorheological (ER) structures based on visco-elasticity and sandwich beam theory. The partial differential equations describing the dynamics of an ER sandwich beam are derived and a modal analysis is performed. Feedback controllers, derived using Lyapunov theory, ensure stability of all modes of the beam. Feedback from an axial velocity sensor to the applied ER beam voltage provides an implementable approximation to the control law. Simulations of a cantilevered ER beam show the stable response and improved transient decay provided by the control system.

Modeling and Control of Wheel Motor Based Articulated Vehicle System

2019 ◽  
Author(s):  
Heeseong Kim ◽  
Taehyun Shim ◽  
Byungjun Sung
Keyword(s):  
Control System ◽  
Dynamic Control ◽  
Modeling And Control ◽  
Yaw Control ◽  
Articulated Vehicle ◽  
Vehicle Systems ◽  
Vehicle Dynamic Control ◽  
And Performance ◽  
Traction System ◽  
And Control

Abstract This paper investigates an effectiveness of vehicle dynamic control (VDC) system based on torque vectoring technique using in-wheel-motors to improve the performance of articulated vehicle systems. A 10 degree-of-freedom (DOF) articulated vehicle model including a tractor and a single axle trailer has been developed and its responses are validated with commercial vehicle software of Trucksim. This model includes a nonlinear tire model (MF tire), a hydraulic damping at the hitch, and a traction system using in-wheel-motors at the trailer axle. In this paper, a yaw control system is developed to track the reference yaw rate with application of yaw moment at the trailer axle using torque distribution of in-wheel-motors. The effectiveness of the proposed control system is validated through simulation of sinusoidal steering maneuver on high mu and slippery road conditions. The simulation results show that in-wheel-motors can improve safety and performance of articulate vehicle systems.

Modeling and Vibration Control of a Flexible Rotor by Using Magnetic Bearings

2011 ◽  
Author(s):  
Takuya Nomoto ◽  
Daisuke Hunakoshi ◽  
Toru Watanabe ◽  
Kazuto Seto
Keyword(s):  
Control System ◽  
Control Method ◽  
Design Procedure ◽  
Modeling Method ◽  
Magnetic Bearings ◽  
Active Magnetic Bearings ◽  
Flexible Rotor ◽  
Modeling And Control ◽  
Elastic Modes ◽  
And Control

This paper presents a new modeling method and a control system design procedure for a flexible rotor with many elastic modes using active magnetic bearings. The purpose of our research is to let the rotor rotate passing over the 1st and the 2nd critical speeds caused by flexible modes. To achieve this, it is necessary to control motion and vibration of the flexible rotor simultaneously. The new modeling method named as Extended Reduced Order Physical Model is presented to express its motion and vibration uniformly. By using transfer function of flexible rotor-Active Magnetic Bearings system, we designed a Local Jerk Feedback Control system and conducted stability discrimination with root locus. In order to evaluate this modeling and control method, levitation experimentation is conducted.

Nonlinear Modeling and Control of Overhead Crane Load Sway

1988 ◽  
Vol 110 (3) ◽  
pp. 266-271 ◽  
Author(s):  
Kamal A. F. Moustafa ◽  
A. M. Ebeid
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Digital Computer ◽  
Nonlinear Modeling ◽  
Overhead Crane ◽  
Nonlinear Dynamical ◽  
Modeling And Control ◽  
Control Scheme ◽  
Rate Of Decay ◽  
And Control

In this paper, we derive a nonlinear dynamical model for an overhead crane. The model takes into account simultaneous travel and transverse motions of the crane. The aim is to transport an object along a specified transport route in such a way that the swing angles are suppressed as quickly as possible. We develop an antiswing control system which adopts a feedback control to specify the crane speed at every moment. The gain matrix is chosen such that a desired rate of decay of the swing angles is obtained. The model and control scheme are simulated on a digital computer and the results prove that the feedback control works well.

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