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Considering the disadvantages of induction motor drive such as torque ripple and current waveform distortion when using direct torque control (DTC) method, the method substitution might improve the drive behaviour. The authors suggest instead of the DTC method using the predictive method based on similar principles. In the paper, both methods are examined. Then on the induction motor drive yet controlled...
This paper describes a Direct Torque Controlled (DTC) Induction Machine (IM) drive that employs feedback linearization and sliding-mode control. A feedback linearization approach is investigated, which yields a decoupled linear IM model with two state variables: torque and stator flux magnitude. This intuitive linear model is used to implement a DTC type controller that preserves all DTC advantages...
In this research study, a new speed control scheme is proposed for direct torque and flux control (DTFC) of induction motor drive (IMD) to replace the conventional constant gain PI-speed controller (PISC). The conventional PISC offers poor dynamic response of stator current, torque and motor speed under sudden change in speed or load torque disturbances. In order to improve the dynamic as well as...
This paper presents a high performance Direct Torque Control (DTC) theme for the induction motor using Indirect Matrix Converter (IMC). To improve the dynamic behavior of motor, Active Learning Method (ALM) is implemented on the DTC. The ALM uses its own modeling technique called the ink drop spread (IDS) method. Functionally the IMC is very similar to the Direct Matrix Converter (DMC) but it has...
This document proposes an energetic output improvement of electric drives for induction motors. This modification pointing toward a better energetic output (improving the efficiency) according to the application, and can be made in the most common control algorithms as the FOC (Flux Oriented Control) and the DTC (Direct Torque Control). The increase in drive's efficiency supposes on the one hand,...
In an increasing number of applications highly dynamic electrical drives, characterized by high quality torque control, are demanded. Direct torque control (DTC) for AC machines, permanent magnet synchronous motors (PMSM) or induction machines, can provide this accurate and fast torque control. When applying DTC the change of the stator flux linkage vector is controlled, based on torque and flux errors...
This contribution deals with design of sliding mode based stator flux observer for direct torque and flux controlled induction machine drives. Proposed flux observer is completed by simple estimation of rotor speed in order to achieve a sensorless drive control. Proper function of presented sensorless control is verified by both simulations and experiments made on designed laboratory prototype of...
This paper presents application of adaptive neuro-fuzzy inference system (ANFIS) into a squirrel cage induction machine towards modeling, control and estimation. This paper contributes (i) Development of a simple and more realistic model of the induction motor using ANFIS. Using ANFIS, the parameter sets of the motor model are estimated. The simplified model contains eleven estimated parameters. In...
The paper presents a new numerical integration routine BGKODE_DSP. This routine is based on BGKODE routine, which forms a practical application of the Kroghpsilas algorithm. BGKODE_DSP routine realizes the predictor-corrector method and has been simplified to ensure its applicability in real time systems. The results of the comparison between the selected common numerical integration methods and the...
The structure of Direct Torque Control system of induction motor is complex. Aiming at this issue, a new scheme of induction motor drive is proposed. This new control system doesnpsilat need the stator flux model, so the system is very simple. The detailed theory of the stator current vector orientation control is described. The core idea is controlling the angle between the stator current vector...
The motor is the workhorse of industry. The control and identification of induction motor with artificial intelligence is the key point for high performance electrical drives. A novel architecture of nonlinear autoregressive moving average (NARMA) model based on wavelet neural networks (WNN) is presented for enhancing the performance of induction motor. The Akaikepsilas final predication error (AFPE)...
A direct torque control strategy of a three-level neutral point clamped inverter-fed induction machine is presented. Three-level inverters are an emerging technology and are commonly applied to high power motion drives instead of the standard two-level voltage source inverters (VSI). In three-level inverters the blocking voltage of each switch is half of the DC bus voltage, lower dV/dt is generated...
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