Fixed causality slip-stick friction models for use in simulation of non-linear systems

Author(s):  
D Margolis

Slip-stick friction occurs when the relative velocity between sliding surfaces approaches zero and the surfaces become ‘stuck’, requiring a force larger than the sliding friction force to break the surfaces loose, allowing sliding to resume. Mathematically, these physics are an example of ‘ideal switching’ where the velocity is zero and the force is determined by other parts of the system, or the force is set by the friction model (and could be zero), and the velocity is determined by other parts of the system. A switch in an electric circuit is another example. Including ideal switches in an overall physical system model is complicated by the inversion of causality when the switch occurs. In one state the velocity is prescribed and the force is determined, and in the other state the force is prescribed and the velocity is determined. Such causal inversions create formulation and computational problems, and these problems can be quite prohibitive if many switches are part of the model. This paper presents fixed causal models for slip-stick friction that allow a single state space model to be used regardless of the number of switches. Such a development allows simulation of multiple plate brakes and clutches, or ideal rectifiers, using an explicit first-order state space representation. It should be noted that there has been extensive work in the development of models that represent the physics of friction. One such model is the LuGre model [1] where microstructural displacements are modelled. Our intent here is not to extend the physics of slip-stick friction, but rather to reasonably represent the physics while providing a computationally convenient method for including slip-stick friction in overall system models.

Author(s):  
Reza Taghipour ◽  
Tristan Perez ◽  
Torgeir Moan

This article deals with time-domain hydroelastic analysis of a marine structure. The convolution terms associated with fluid memory effects are replaced by an alternative state-space representation, the parameters of which are obtained by using realization theory. The mathematical model established is validated by comparison to experimental results of a very flexible barge. Two types of time-domain simulations are performed: dynamic response of the initially inert structure to incident regular waves and transient response of the structure after it is released from a displaced condition in still water. The accuracy and the efficiency of the simulations based on the state-space model representations are compared to those that integrate the convolutions.


2021 ◽  
Vol 11 (1) ◽  
pp. 1134-1140
Author(s):  
Hoang Nguyen Khac ◽  
Amin Modabberian ◽  
Xiaoguo Storm ◽  
Kai Zenger ◽  
Jari Hyvönen

Abstract In this work, a model predictive controller is developed for a multiple injection combustion model. A 1D engine model with three distinct injections is used to generate data for identifying the state-space representation of the engine model. This state-space model is then used to design a controller for controlling the start of injection and injected fuel mass of the post injection. These parameters are used as inputs for the engine model to control the maximum cylinder pressure and indicated mean effective pressure.


1989 ◽  
Vol 111 (3) ◽  
pp. 326-330 ◽  
Author(s):  
J. L. Dohner ◽  
R. Shoureshi

This paper produces a three-dimensional closed loop active noise control system using modal control. A state space representation of the acoustic plant was produced and then expanded to include actuator and measurement dynamics. Using this state space model and linear quadratic gaussian control theory, a single input, single output feedback filter was produced by a well-damped system. Experimental results are given. For bandlimited noise excitation, the controller produced satisfactory results.


Author(s):  
Faik Can Meral ◽  
Ipek Basdogan

Future optical micro systems such as Micro Electro Mechanical Systems (MEMS) scanners and micro-mirrors will extend the resolution and sensitivity offered by their predecessors. These systems face the challenge of achieving nanometer precision subjected to various disturbances. Predicting the performance of such systems early in the design process can significantly impact the design cost and also improve the quality of the design. Our approach aims to predict the performance of such systems under various disturbance sources and develop a generalized design approach for MEMS structures. In this study, we used ANSYS for modeling and analysis of a torsional MEMS scanner mirror. ANSYS modal analysis results, which are eigenvalues (natural frequencies) and eigenvectors (modeshapes), are used to obtain the state space representation of the mirror. The state space model of the scanner mirror was reduced using various reduction techniques to eliminate the states that are insignificant for the transfer functions of interest. The results of these techniques were compared to obtain the best approach to obtain a lower order model that still contains all of the relevant dynamics of the original model. After the model size is reduced significantly, a disturbance analysis is performed using Lyapunov approach to obtain root-mean-square (RMS) values of the mirror rotation angle under the effect of a disturbance torque. The Lyapunov approach results were validated using a time domain analysis.


1990 ◽  
Vol 112 (4) ◽  
pp. 483-488 ◽  
Author(s):  
A. J. Hull ◽  
C. J. Radcliffe ◽  
M. Miklavcˇicˇ ◽  
C. R. MacCluer

One-dimensional acoustic response of ducts is a classical engineering problem. The acoustic response in a hard-walled duct with a dissipative end condition can be visualized as a combination of standing and propagating wave response. A modal decomposition based on the system eigenvalues derived here produces an infinite order state space model incorporating this behavior. This allows computation of system transient response as well as frequency response. The shapes of duct characteristic response derived here are in stark contrast to those previously available for ducts. It is shown that the traditionally employed sinusoidal responses cannot be used to compute duct response for dissipative ends. A comparison between the frequency response of a finite order truncation of the new state space model and a previous exact frequency response is included. The new transient response of the truncated state space model is demonstrated and truncation error investigated. High frequency behavior of the state space model is discussed.


2020 ◽  
Vol 11 (3) ◽  
pp. 1928-1941
Author(s):  
Huifang Wang ◽  
Kuan Jiang ◽  
Mohammad Shahidehpour ◽  
Benteng He

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