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2015 | Buch

Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion

A Parametric Characteristic Approach

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Über dieses Buch

This book is a systematic summary of some new advances in the area of nonlinear analysis and design in the frequency domain, focusing on the application oriented theory and methods based on the GFRF concept, which is mainly done by the author in the past 8 years. The main results are formulated uniformly with a parametric characteristic approach, which provides a convenient and novel insight into nonlinear influence on system output response in terms of characteristic parameters and thus facilitate nonlinear analysis and design in the frequency domain. The book starts with a brief introduction to the background of nonlinear analysis in the frequency domain, followed by recursive algorithms for computation of GFRFs for different parametric models, and nonlinear output frequency properties. Thereafter the parametric characteristic analysis method is introduced, which leads to the new understanding and formulation of the GFRFs, and nonlinear characteristic output spectrum (nCOS) and the nCOS based analysis and design method. Based on the parametric characteristic approach, nonlinear influence in the frequency domain can be investigated with a novel insight, i.e., alternating series, which is followed by some application results in vibration control. Magnitude bounds of frequency response functions of nonlinear systems can also be studied with a parametric characteristic approach, which result in novel parametric convergence criteria for any given parametric nonlinear model whose input-output relationship allows a convergent Volterra series expansion. This book targets those readers who are working in the areas related to nonlinear analysis and design, nonlinear signal processing, nonlinear system identification, nonlinear vibration control, and so on. It particularly serves as a good reference for those who are studying frequency domain methods for nonlinear systems.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
Nonlinear analysis and design are hot topics in the literature. This chapter gives a brief introduction to frequency domain methods for nonlinear analysis and design focusing on the Volterra series approach, its main attractive features, and its associated methods/results.
Xingjian Jing, Ziqiang Lang
Chapter 2. The Generalized Frequency Response Functions and Output Spectrum of Nonlinear Systems
Abstract
The computation of the GFRFs and/or output spectrum for a given nonlinear system described by NARX, NDE or Block-oriented models is a fundamental task for nonlinear analysis in the frequency domain. This chapter summarizes the results for the computation of the GFRFs and output spectrum for several frequently-used parametric models, and shows it clearly that the GFRFs are explicit functions of model parameters and can be regarded as an important extension of the transfer function concept for linear systems.
Xingjian Jing, Ziqiang Lang
Chapter 3. Output Frequency Characteristics of Nonlinear Systems
Abstract
Some interesting properties of output frequencies of Volterra-type nonlinear systems are particularly investigated. These results provide a very novel and useful insight into the super-harmonic and inter-modulation phenomena in output frequency response of nonlinear systems, with consideration of the effects incurred by different nonlinear components in the system. The new properties theoretically demonstrate several fundamental output frequency characteristics and unveil clearly the mechanism of the interaction (or coupling effects) between different harmonic behaviors in system output frequency response incurred by different nonlinear components. These results have significance in the analysis and design of nonlinear systems and nonlinear filters in order to achieve a specific output spectrum in a desired frequency band by taking advantage of nonlinearities. They can provide an important guidance to modeling, identification, control and signal processing by using the Volterra series theory in practice.
Xingjian Jing, Ziqiang Lang
Chapter 4. Parametric Characteristic Analysis
Abstract
The parametric characteristic analysis given in this chapter is to reveal how the parameters of interest in a separable parameterized function series or polynomial affect the function series or polynomial and what the possible effects are. This can provide a novel and convenient approach to investigate nonlinear effect incurred by different type and degree of nonlinearities in frequency response functions of nonlinear systems. Using this method, the GFRF and nonlinear output spectrum can all be studied in a parametric way and eventually formulated into a more practical form for nonlinear analysis, design and optimization in the frequency domain.
Xingjian Jing, Ziqiang Lang
Chapter 5. The Parametric Characteristics of the GFRFs and the Parametric Characteristics Based Analysis
Abstract
The parametric characteristic analysis discussed in Chapter 4 is used in this Chapter for the study of the parametric characteristics of the GFRFs of Volterra-type nonlinear systems described by the NDE model or NARX model. Fundamental and significant results have been established for the parametric characteristics of the GFRFs of the nonlinear systems. The method has been shown to be of great significance in understanding the system’s frequency response functions and the nonlinear influence incurred by different nonlinear terms. The parametric characteristics of the GFRFs can explicitly reveal the relationship between the time domain model parameters and the GFRFs and therefore provide a useful insight into the analysis and design of nonlinear systems in the frequency domain.
Xingjian Jing, Ziqiang Lang
Chapter 6. The Parametric Characteristics of Nonlinear Output Spectrum and Applications
Abstract
The parametric characteristic analysis is performed for nonlinear output spectrum of Volterra-type nonlinear systems described by NDE models or NARX models in this Chapter and some fundamental results for the parametric characteristics of nonlinear output spectrum are established and demonstrated, including parametric characteristics based analysis, parametric characteristic analysis of nonlinear effects on system output frequency, and parametric characteristics of SIDO nonlinear systems etc.
Xingjian Jing, Ziqiang Lang
Chapter 7. The Parametric Characteristics Based Output Spectrum Analysis
Abstract
The parametric characteristic analysis provides a powerful tool for nonlinear analysis in the frequency domain, which can be used for many important issues related to analysis, design and understanding of nonlinear dynamics and influence, from the viewpoints of output frequency response of nonlinear systems and/or the GFRFs. In this chapter, the output frequency response or output spectrum based analysis method is demonstrated further, which presents a systematic frequency-domain method for nonlinear analysis and design. The parametric characteristic analysis can provide obvious benefits for example in determination of the parametric structure and in reduction of computation cost, which will be theoretically addressed in the chapter thereafter.
Xingjian Jing, Ziqiang Lang
Chapter 8. Determination of Nonlinear Output Spectrum Based on Its Parametric Characteristics: Some Theoretical Issues
Abstract
This chapter shows that, the analytical parametric relationship described by the OFRF of any polynomial structure in terms of any model parameters of interest for Volterra systems described by a NDE model can be determined explicitly up to any high order by using a simple Least Square method from some simulation or experimental data, and every specific component of the OFRF can also be determined effectively. Moreover, the main result established is not only applicable for the OFRF based method, but also has significance for the determination of any analytical parametric relationship of this kind of system polynomial functions by using numerical methods.
Xingjian Jing, Ziqiang Lang
Chapter 9. Nonlinear Characteristic Output Spectrum
Abstract
A systematic frequency domain method for nonlinear analysis, design and estimation of nonlinear systems is established based on the discussions in the previous chapters. Firstly, this method allows accurate determination of the linear and nonlinear components in system output spectrum of a given nonlinear system described by NDE, NARX or NBO (nonlinear block-oriented) models, with some simulation or experiment data. These output spectrum components can then be used for system identification or nonlinear analysis for different purposes such as fault detection etc. Secondly, the OFRF discussed before is expressed into a much improved polynomial function, referred to here as nonlinear characteristic output spectrum (nCOS) function, which is an explicit expression for the relationship between nonlinear output spectrum and system characteristic parameters of interest including nonlinear parameters, frequency variable, and input excitation magnitude (not just nonlinear parameters as that in Chaps. 7 and 8 ) with a more generic parametric structure. With the accurate determination of system output spectrum components in the previous step, the nCOS function can therefore be accurately determined up to any high orders, with less simulation trials and computation cost compared with a pure simulation based study or traditional theoretical computation. These results can provide a useful approach for qualitative and quantitative analysis and design of nonlinear dynamics in the frequency domain.
Xingjian Jing, Ziqiang Lang
Chapter 10. Using Nonlinearity for Output Vibration Suppression: An Application Study
Abstract
A frequency domain approach to the analysis and design of nonlinear feedback controller for suppressing periodic disturbances is studied and some preliminary results in this subject are provided by applying the theory and method established before. Although there are already some time-domain methods, which can address nonlinear control problems based on Lyapunov stability theory, few results are available for analysis and design of a nonlinear feedback controller in the frequency domain to achieve a desired frequency domain performance. Based on the analytical relationship between system output spectrum and controller parameters defined by the OFRF, this chapter demonstrates a systematic frequency domain approach to exploiting the potential advantage of nonlinearities to achieve a desired output frequency domain performance for the analysis and design of vibration systems. Compared with other existing methods for the same purposes, the method in this chapter can directly relate the nonlinear parameters of interest to the system output frequency response and the designed controller may also be realized by a passive unite in practice.
Xingjian Jing, Ziqiang Lang
Chapter 11. Mapping from Parametric Characteristics to the GFRFs and Output Spectrum
Abstract
A mapping function from the parametric characteristics to the GFRFs is established. The nth-order GFRF can directly be written into a more straightforward and meaningful form in terms of the first order GFRF and model parameters based on the parametric characteristic, which explicitly unveils the linear and nonlinear factors included in the GFRFs and can be regarded as an n-degreepolynomial function of the first order GFRF. These results demonstrate some new properties of the GFRFs, which can reveal clearly the relationship between the nth-order GFRF and its parametric characteristic, and also the relationship between the higher order GFRF and the first order GFRF. These provide a novel and useful insight into the frequency domain analysis and design of nonlinear systems based on the GFRFs.
Xingjian Jing, Ziqiang Lang
Chapter 12. The Alternating Series Approach to Nonlinear Influence in the Frequency Domain
Abstract
Understanding of nonlinear effect in the frequency domain is investigated from a novel viewpoint for the Volterra class of nonlinear systems. The system output spectrum is shown to be an alternating series with respect to some model parameters that define system nonlinearities. The output spectrum can therefore be suppressed by exploiting the alternating properties to design corresponding parameters. The concept of alternating series provides a novel insight into the nonlinear influence on system output response in the frequency domain. The sufficient (and necessary) conditions in which the output spectrum can be transformed into an alternating series are studied. To illustrate the new results, several examples are given, which investigated a single degree of freedom (SDOF) mass-spring-damper system with a cubic nonlinear damper. All these results demonstrate a novel insight into the analysis and design of nonlinearities in the frequency domain.
Xingjian Jing, Ziqiang Lang
Chapter 13. Magnitude Bound Characteristics of Nonlinear Frequency Response Functions
Abstract
In many cases, the magnitude of a frequency response function such as GFRFs can reveal important information about the system, and consequently takes a great role in the analysis of the convergence or stability of the system and the truncation error of the corresponding Volterra series. It can be used to evaluate the significant orders of nonlinearities or the significant nonlinear terms for the magnitude bound, indicate the stability of a system and provide a basis for analysis of system output frequency response. New bound characteristics of both the generalized frequency response functions (GFRFs) and output frequency response for the NARX model are presented in this chapter. It is shown that the magnitudes of the GFRFs and the system output spectrum can all be bounded by a polynomial function of the magnitude bound of the first order GFRF, and the coefficients of the polynomial are functions of the NARX model parameters. These new bound characteristics of the NARX model provide an important insight into the relationship between the model parameters and the magnitudes of the system frequency response functions, reveal the effect of the model parameters on the stability of the NARX model to a certain extent, and provide a useful technique for the magnitude based analysis of nonlinear systems in the frequency domain.
Xingjian Jing, Ziqiang Lang
Chapter 14. Parametric Convergence Bounds of Volterra-Type Nonlinear Systems
Abstract
Based on the bound characteristics of frequency response functions, evaluation of the convergence bound in the frequency domain for Volterra series expansion of nonlinear systems described by NARX models is studied. This provides new convergence criteria under which the nonlinear system of interest has a convergent Volterra series expansion, and the new criteria are expressed explicitly in terms of the input magnitude, model parameters, and frequency variable. The new convergence criteria are firstly developed for harmonic inputs, which are frequency-dependent, and then extended to multi-tone and general input cases, which are frequency-independent. Based on the theoretical analysis, a general procedure for calculating the convergence bound is provided. The results provide a fundamental basis for nonlinear signal processing using the Volterra series theory.
Xingjian Jing, Ziqiang Lang
Chapter 15. Summary and Overview
Abstract
Some new advances in the Volterra series based frequency domain theory or method developed in the past 10 years are summarized from a novel parametric characteristic approach. These results, including both theoretical investigation and practical application algorithms, would be able to present a solid and important basis for further development of frequency domain theories and methods for nonlinear analysis and design to solve critical engineering issues in the literature and engineering practices.
Xingjian Jing, Ziqiang Lang
Backmatter
Metadaten
Titel
Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion
verfasst von
Xingjian Jing
Ziqiang Lang
Copyright-Jahr
2015
Electronic ISBN
978-3-319-12391-2
Print ISBN
978-3-319-12390-5
DOI
https://doi.org/10.1007/978-3-319-12391-2