By Fouad Giri
The complexity of AC motor keep an eye on lies within the multivariable and nonlinear nature of AC computer dynamics. contemporary developments up to the mark thought now give the opportunity to house long-standing difficulties in AC automobiles keep watch over. this article expertly attracts on those advancements to use quite a lot of model-based keep watch over designmethods to various AC vehicles. Contributions from over thirty most sensible researchers clarify how sleek keep an eye on layout tools can be utilized to accomplish tight pace rules, optimum lively potency, and operation reliability and defense, by way of contemplating on-line nation variable estimation within the absence of mechanical sensors, energy issue correction, laptop flux optimization, fault detection and isolation, and fault tolerant keep an eye on. Describing the entire keep watch over method, either controller and observer designs are established utilizing complicated nonlinear equipment, balance and function are analysed utilizing robust innovations, together with implementation concerns utilizing electronic computing capability. different key good points: - Covers the most sorts of AC vehicles together with triphase, multiphase, and doubly fed induction cars, wound rotor, everlasting magnet, and inside PM synchronous vehicles - Illustrates the usefulness of the complex keep an eye on tools through business functions together with electrical autos, excessive velocity trains, metal generators, and extra - comprises specified specialize in sensorless nonlinear observers, adaptive and strong nonlinear controllers, output-feedback controllers, fault detection and isolation algorithms, and fault tolerant controllers
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Extra info for AC Electric Motors Control Advanced Design Techniques and Applications
Edited by Fouad Giri. © 2013 John Wiley & Sons, Ltd. Published 2013 by John Wiley & Sons, Ltd. 18 AC Electric Motors Control used in control design. That is, most control designs presented in this book are based on the models that are by now standard. Therefore, the present chapter is mainly devoted to the development of these standard models. This will be accomplished by considering successively the cases of triphase motors and doubly-fed induction motors (DFIM). 5; and concluding remarks and a list of references end the chapter.
22) that [vdqo ]T [i dqo ] = [[P(ψ)][vabc ]]T [P(ψ)][i abc ] = [vabc ]T [P(ψ)]T [P(ψ][i abc ]. 24) and n1 = n2 2 , 3 Ko = √1 . 25) and its inverse is [P(ψ)]−1 = ⎡ cos(ψ) 2⎢ ⎢ cos ψ − 3⎣ cos ψ − 2π 3 4π 3 − sin(ψ) − sin ψ − − sin ψ − 2π 3 4π 3 √1 2 √1 2 √1 2 ⎤ ⎥ ⎥. 26) It is this transformation that is retained in the rest of this chapter, as well as in the next ones. Note that, the angle ψ = 0 is a free parameter in that transformation. One possible 26 AC Electric Motors Control choice is ψ = 0 and the corresponding Park matrix, commonly called Concordia matrix, is given by [C] = ⎡ − 12 1 2⎢ ⎢ 0 3⎣ √1 2 − 12 √ 3 2 √1 2 − √ 3 2 √1 2 ⎤ ⎥ ⎥.
The second modelling method, referred to permeance network, consists of representing the machine magnetic circuit by an equivalent circuit diagram (Hecquet and Brochet 1998; Srairi et al. 2006). The obtained models are reasonably accurate but they suffer a large sensitivity to the air-gap permeance. The third modelling approach consists of applying to the machine the standard electromagnetic and mechanical laws (Blaschke 1972). The equations are made simpler by considering commonly admitted assumptions, for example, sinusoidal induction in the air gap, linearity of the magnetic circuit, negligence of iron losses, higher harmonics in slots, and spaces not account for.