Advanced Control of Electrical Drives and Power Electronic by Jacek Kabziński

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By Jacek Kabziński

This contributed quantity is written by means of key experts operating in multidisciplinary fields in electric engineering, linking keep watch over thought, energy electronics, man made neural networks, embedded controllers and sign processing. The authors of every bankruptcy document the state-of-the-art of many of the themes addressed and current result of their very own examine, laboratory experiments and profitable functions. The awarded ideas be aware of 3 major components of interest:

· movement keep watch over in advanced electromechanical structures, together with sensorless control;

· fault analysis and fault tolerant regulate of electrical drives;

· new regulate algorithms for energy electronics converters.

The chapters and the full e-book own robust monograph attributes. vital useful and theoretical difficulties are deeply and safely awarded at the heritage of an exhaustive state-of the paintings evaluation. Many effects are thoroughly new and have been by no means released prior to. recognized keep watch over tools like box orientated regulate (FOC) or direct torque regulate (DTC) are referred as a kick off point for transformations or are used for comparability. between a variety of regulate theories used to unravel specific difficulties are: nonlinear keep an eye on, strong keep watch over, adaptive keep an eye on, Lyapunov recommendations, observer layout, version predictive keep watch over, neural keep an eye on, sliding mode regulate, sign filtration and processing, fault analysis, and fault tolerant control.

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Extra info for Advanced Control of Electrical Drives and Power Electronic Converters

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Therefore, instead of (38), the Lyapunov function: V2 ¼ V1 þ À Á 1 T À1 l e C A e 1; tan Ke2v þ A 2K 2 1 K¼ p 2D2ev ð44Þ will be used, where V1 defined in (32) is a BLF and Dev is a constraint imposed on the tracking error ev . The Lyapunov function derivative may be represented as: À À ÁÁ ~_ 1 e T CÀ1 A V_ 2 ¼ V_ 1 þ lev 1 þ tan2 Ke2v e_ v þ A 1 ð45Þ and plugging in (36) and (20) results in: À À ÁÁ À À ÁÁ V_ 2 ¼ Àkx e2x 1 þ tan2 ke2x þ ev ex 1 þ tan2 ke2x À À ÁÁÀ Á e T CÀ1 A ~_ 1 : þ ev 1 þ tan2 Ke2v Ài þ AT1 n1 þ A 1 ð46Þ Once again, the control variable i will be designed to compensate the unnecessary components in (46) and to introduce the stabilizing component, so: i¼ ^ T n1 A 1 À Á 1 þ tan2 ke2x À Á þ kv ev ; þ ex 1 þ tan2 Ke2v ð47Þ where kv [ 0 is a design parameter.

BLF with x and v constr. 02 QLF BLF with x constr. BLF with x and v constr. 1 0 1 2 3 4 5 6 7 8 9 time [s] Fig. 8 Position tracking error ex and ‘virtual control’ tracking error ev 9 Real Plant Experiment The application of the proposed controller design to a real plant allows the checking of the robustness against several phenomena that were not consider during the theoretical derivation. The effects of discrete in time controller implementation, Adaptive Position Tracking with Hard Constraints … 5 10 QLF BLF with x constr.

63. Taking into account the power invariance transformation of variables provides the value of rated phase amplitude equal to 1. The transient shown in Figs. 5 and 6 consists of consecutive starting, short time without load and final interval of work with load. The transient of load torque is shown in Fig. 5. In the simulation investigation at first the machine is excited with the speed near zero. 32 and after time less than 50 ms this variable is stabilized. 8. The fluxes ψrα(1) and ψrα(2) are synchronized as can be seen in Fig.

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