scholarly journals Modeling and Control for Giant Magnetostrictive Actuators with Rate-Dependent Hysteresis

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ping Liu ◽  
Zhen Zhang ◽  
Jianqin Mao
Keyword(s):  
Relevance Vector Machine ◽  
Modeling And Control ◽  
Rate Dependent ◽  
Hysteresis Nonlinearity ◽  
Control Scheme ◽  
Giant Magnetostrictive Materials ◽  
Magnetostrictive Actuators ◽  
Magnetostrictive Actuator ◽  
And Control ◽  
Major Impediment

The rate-dependent hysteresis in giant magnetostrictive materials is a major impediment to the application of such material in actuators. In this paper, a relevance vector machine (RVM) model is proposed for describing the hysteresis nonlinearity under varying input current. It is possible to construct a unique dynamic model in a given rate range for a rate-dependent hysteresis system using the sinusoidal scanning signals as the training set input signal. Subsequently, a proportional integral derivative (PID) control scheme combined with a feedforward compensation is implemented on a giant magnetostrictive actuator (GMA) for real-time precise trajectory tracking. Simulations and experiments both verify the effectiveness and the practicality of the proposed modeling and control methods.

Modeling and Control for GMA Based on Hammerstein Model Structure

2013 ◽  
Vol 668 ◽  
pp. 406-409
Author(s):  
Qing Song Liu ◽  
Zhen Zhang ◽  
J.Q. Mao
Keyword(s):  
Tracking Control ◽  
Hammerstein Model ◽  
Model Structure ◽  
Hysteresis Model ◽  
Modeling And Control ◽  
Feedforward Loop ◽  
Rate Dependent ◽  
Proposed Model ◽  
Magnetostrictive Actuator ◽  
And Control

A rate-dependent hysteresis model for Giant Magnetostrictive Actuator (GMA) is proposed based on Hammerstein model structure. The Generalized Prandtl-Ishlinskii (GPI) model is used to represent nonlinear block in Hammerstein model. The validity of model is examined by comparsion between simulation results and experimental data. Based on the proposed model, a PID feedback controller combined with an inverse compensation in the feedforward loop is used for tracking control. Experimental results show that the control strategy is effective.

NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS

2007 ◽  
Vol 31 (1) ◽  
pp. 127-141
Author(s):  
Yonghong Tan ◽  
Xinlong Zhao
Keyword(s):  
Dynamic Systems ◽  
Control Strategy ◽  
Neural Modeling ◽  
Modeling And Control ◽  
Control Scheme ◽  
The Neural Networks ◽  
Adaptive Control Strategy ◽  
Set Up ◽  
Modeling Strategy ◽  
And Control

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.

Nonlinear Modeling and Control of Hysteresis in Active Material Systems

1999 ◽  
Author(s):  
Glenn V. Webb ◽  
Dimitris C. Lagoudas ◽  
Andrew J. Kurdila
Keyword(s):  
Shape Memory ◽  
Nonlinear Modeling ◽  
Active Material ◽  
Electrorheological Fluids ◽  
Adaptive Model ◽  
Structural System ◽  
Modeling And Control ◽  
Significant Challenge ◽  
Hysteresis Nonlinearity ◽  
And Control

Abstract Active material actuators present a significant challenge to researchers interested in applying them to aerospace structures. Materials such as shape memory alloys, piezo-ceramcs and electrorheological fluids exhibit hysteresis to varying degrees. Not only do they exhibit hysteresis, but in some cases the hysteresis is non-stationary. We present a methodology that allows for design of controllers for the structural system from linear system theory. This is accomplished by compensating, or linearizing, the hysteresis nonlinearity using an adaptive model of hysteresis. Experimental results for adaptive control of shape memory alloy actuators with non-stationary hysteresis are provided.

scholarly journals Dynamic Modeling and Control of a Coupled Reforming/Combustor System for the Production of H2 via Hydrocarbon-Based Fuels

Processes ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1243
Author(s):  
Dimitris Ipsakis ◽  
Theodoros Damartzis ◽  
Simira Papadopoulou ◽  
Spyros Voutetakis
Keyword(s):  
H2 Production ◽  
Saturated Hydrocarbons ◽  
Modeling And Control ◽  
Start Up ◽  
Control Scheme ◽  
Reactor Temperature ◽  
Zero Offset ◽  
And Control ◽  
Water Gas ◽  
Reforming Reactions

The present work aims to provide insights into the dynamic operation of a coupled reformer/combustion unit that can utilize a variety of saturated hydrocarbons (HCs) with 1–4 C atoms towards H2 production (along with CO2). Within this concept, a preselected HC-based feedstock enters a steam reforming reactor for the production of H2 via a series of catalytic reactions, whereas a sequential postprocessing unit (water gas shift reactor) is then utilized to increase H2 purity and minimize CO. The core unit of the overall system is the combustor that is coupled with the reformer reactor and continuously provides heat (a) for sustaining the prevailing endothermic reforming reactions and (b) for the process feed streams. The dynamic model as it is initially developed, consists of ordinary differential equations that capture the main physicochemical phenomena taking place at each subsystem (energy and mass balances) and is compared against available thermodynamic data (temperature and concentration). Further on, a distributed control scheme based on PID (Proportional–Integral–Derivative) controllers (each one tuned via Ziegler–Nichols/Z-N methodology) is applied and a set of case studies is formulated. The aim of the control scheme is to maintain the selected process-controlled variables within their predefined set-points, despite the emergence of sudden disturbances. It was revealed that the accurately tuned controllers lead to (a) a quick start-up operation, (b) minimum overshoot (especially regarding the sensitive reactor temperature), (c) zero offset from the desired operating set-points, and (d) quick settling during disturbance emergence.

Modeling and Control of a Rotary Crane

1985 ◽  
Vol 107 (3) ◽  
pp. 200-206 ◽  
Author(s):  
Y. Sakawa ◽  
A. Nakazumi
Keyword(s):  
Feedback Control ◽  
Equilibrium State ◽  
Open Loop ◽  
The State ◽  
Control Input ◽  
Loop Control ◽  
Modeling And Control ◽  
Control Scheme ◽  
Rotary Crane ◽  
And Control

In this paper we first derive a dynamical model for the control of a rotary crane, which makes three kinds of motion (rotation, load hoisting, and boom hoisting) simultaneously. The goal is to transfer a load to a desired place in such a way that at the end of transfer the swing of the load decays as quickly as possible. We first apply an open-loop control input to the system such that the state of the system can be transferred to a neighborhood of the equilibrium state. Then we apply a feedback control signal so that the state of the system approaches the equilibrium state as quickly as possible. The results of computer simulation prove that the open-loop plus feedback control scheme works well.

Physical Modeling and Control of a Multi-Cylinder HCCI Engine

2009 ◽  
Author(s):  
Nikhil Ravi ◽  
Matthew J. Roelle ◽  
Hsien-Hsin Liao ◽  
Adam F. Jungkunz ◽  
Chen-Fang Chang ◽  
...  
Keyword(s):  
Direct Injection ◽  
Work Output ◽  
Compression Ignition ◽  
Piston Engine ◽  
Modeling And Control ◽  
Hcci Engine ◽  
Operating Region ◽  
Control Scheme ◽  
And Control ◽  
Wide Operating

Homogeneous charge compression ignition (HCCI) is one of the most promising piston-engine concepts for the future, providing significantly improved efficiency and emissions characteristics relative to current technologies. This paper presents a framework for controlling a multi-cylinder HCCI engine with exhaust recompression and direct injection of fuel into the cylinder. A physical model is used to describe the HCCI process, with the model states being closely linked to the thermodynamic state of the cylinder constituents. Separability between the effects of the control inputs on the desired outputs provides an opportunity to develop a simple linear control scheme, where the fuel is used to control the work output and the valve timings are used to control the phasing of combustion. Experimental results show good tracking of both the work output and combustion phasing over a wide operating region. In addition, the controller is able to balance out differences between cylinders, and reduce the cycle-to-cycle variability of combustion.

Polymer Film Production: Modeling and Control of the Forward Draw

2009 ◽  
Vol 132 (1) ◽  
Author(s):  
C. R. MacLaine ◽  
P. Acarnley ◽  
J. Shanahan ◽  
P. Mousalli ◽  
M. Deighton
Keyword(s):  
Polymer Film ◽  
Industrial Processes ◽  
Production Plant ◽  
Film Production ◽  
Modeling And Control ◽  
Feed Forward Control ◽  
Control Scheme ◽  
Production Modeling ◽  
And Control ◽  
Physical Phenomena

Many industrial processes involve the transportation of a continuous web of material over a series of rollers to obtain a finished product. The manufacture of polymer film is one such web transport process, which utilizes a series of rotating elements that act to manipulate the film. This paper develops a dynamic mathematical model of the “forward draw” in a polymer film production process. The model is capable of being implemented in real-time for control purposes, yet includes significant physical phenomena such as material damping. Experimental results from a pilot production plant are used to validate the model under steady-state and transient conditions. The model is then used as a basis for a feed-forward control scheme, which reduces speed variations in the forward draw by a factor of 8 and therefore improves considerably the film quality.

Modeling Rate-Dependent Hysteresis for GMA Using Online Least Squares Support Vector Machines

2011 ◽  
Vol 48-49 ◽  
pp. 710-714
Author(s):  
Zhen Kai Guo ◽  
Zhao Qing Song ◽  
Xin Jiang Wei
Keyword(s):  
Support Vector Machines ◽  
Least Squares ◽  
Active Vibration Control ◽  
Support Vector ◽  
Nonlinear Phenomenon ◽  
Rate Dependent ◽  
Hysteresis Nonlinearity ◽  
Vector Machines ◽  
Active Vibration ◽  
And Control

Rate-dependent hysteresis is a strongly nonlinear phenomenon which exists in the giant magnetostrictive actuator (GMA); it has influence in the precision and stability of active vibration control. It is highly important in the control theory and control engineering that the influence of hysteresis is eliminated by the modeling of rate-dependent hysteresis for GMA. So an online intelligent modeling method, which is based on an improved online least squares support vector machines (IOLS-SVM), is presented for identifying rate-dependent hysteresis nonlinearity for GMA, and is used to online real-time training. The data measured in the experiment are used for modeling. The numerical simulation shows the effectiveness of the method.

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