By Alain Glumineau, Jesús de Leon Morales
This monograph indicates the reader the way to steer clear of the burdens of sensor fee, lowered inner actual area, and approach complexity within the keep watch over of AC vehicles. Many functions fields—electric cars, wind- and wave-energy converters and robotics, between them—will benefit.
Sensorless AC electrical Motor keep watch over describes the removal of actual sensors and their alternative with observers, i.e., software program sensors. Robustness is brought to beat difficulties linked to the unavoidable imperfection of information of desktop parameters—resistance, inertia, and so on—encountered in actual platforms. the main points of a giant variety of velocity- and/or position-sensorless principles for various different types of permanent-magnet synchronous automobiles and induction cars are offered besides numerous novel observer designs for electric machines. keep an eye on concepts are built utilizing high-order, sliding-mode and quasi-continuous-sliding-mode innovations and varieties of observer–controller schemes in keeping with backstepping and sliding-mode concepts are defined. Experimental effects validate the functionality of those observer and controller configurations with attempt trajectories of importance in tricky sensorless-AC-machine problems.
Control engineers operating with AC vehicles in numerous commercial environments will locate the space-and-cost-saving rules specified in Sensorless AC electrical Motor regulate of a lot curiosity. educational researchers and graduate scholars from electric, mechanical and control-engineering backgrounds should be in a position to see how complex theoretical keep an eye on will be utilized in significant actual systems.
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Extra resources for Sensorless AC Electric Motor Control: Robust Advanced Design Techniques and Applications
Sample text
48 2 Observability Property of AC Machines The observability analysis of a nonlinear system can be divided into two main cases when: (1) the observability property of the system is independent of the input, (2) the observability property depends on the input. For the class of systems where the observability property does not depend on the input, we can find some normal (canonical) forms for which it is possible to design an observer. This class of nonlinear systems, which can be transformed into such a canonical form is called the u uniformly observable systems class.
This transformation is called the Concordia (obtained form Park transformation preserving energy) or Clarke transformation (obtained from Park transformation preserving amplitudes). 4 Permanent Magnet Synchronous Motor 19 2. Fixed frame-Rotating frame Transformation: from an (α, β) two-phase stationary frame to a two-phase synchronous rotating (d, q) frame, this transformation is called the Park transformation. , the Concordia transformation Co, then the second step is the application of the Park transformation P to Eq.
The main result is the observability of the linear systems only requires the output measurements and thus does not depend on the input applied to the system. The methodology to verify this property is based on the Kalman criteria of observability. This criteria is verified from the structural representation of the linear system. 1) where x(t) ∈ n represents the state, u(t) ∈ m is the input and y(t) ∈ p is the output; and A, B, and C are matrices of compatible dimensions. 1) is observable, if and only if the observability matrix O A,C ⎡ C CA ..