Modern Improvement Techniques of Direct Torque Control for Induction

Modern Improvement Techniques of Direct Torque Control for Induction

El Ouanjli et al. Protection and Control of Modern Power Systems (2019) 4:11 Protection and Control of https://doi.org/10.1186/s41601-019-0125-5 Modern Power Systems REVIEW Open Access Modern improvement techniques of direct torque control for induction motor drives - a review Najib El Ouanjli1* , Aziz Derouich1, Abdelaziz El Ghzizal1, Saad Motahhir1, Ali Chebabhi2, Youness El Mourabit1 and Mohammed Taoussi3 Abstract Conventional direct torque control (DTC) is one of the excellent control strategies available to control the torque of the induction machine (IM). However, the low switching frequency of the DTC causes high ripples in the flux and torque that leads to an acoustic noise which degrades the control performances, especially at low speeds. Many direct torque control techniques were appeared to remedy these problems by focusing specifically on the torque and flux. In this paper, a state of the art review of various modern techniques for improving the performance of DTC control is presented. The objective is to make a critical analysis of these methods in terms of ripples reduction, tracking speed, switching loss, algorithm complexity and parameter sensitivity. Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for academic and industrial researchers. Keywords: Induction machine, Direct torque Control (DTC), Fuzzy logic (FL), Neural network (NN), Sliding mode (SG), Genetic algorithm (GA) 1 Introduction years, academic and industrial research has been carried In industry, more than half of the total electrical energy out to remedy the control problem of the IM and to de- produced is consumed by electric motors [1]. Among velop robust and efficient controls [9]. several types of electric motors, three-phase induction In this context, scalar control is the first technique machines (IMs) occupy a prominent place. Indeed, at that has been developed to control electrical machines, least 80% of industrial control systems use induction this control strategy consists of keeping the V/f constant motors [2], which have gradually taken the place of DC to keep the flux in the machine constant [10, 11]. It is machines because of their good performance: reliability, characterized by its simplicity of implementation, its simple construction, low cost and simple maintenance simple structure, which is based on the stator flux con- [3, 4]. However, these numerous advantages are not with- trol [12]. However, on a start-up or for change the rota- out inconvenience, the dynamic behavior of the machine tion direction of the machine, the flux oscillates strongly is often very complex [5, 6], since its modeling results in a with large amplitudes and its modulus is variable during system of nonlinear equations, strongly coupled and mul- the transient states [13, 14]. These oscillations will im- tivariable. In addition, some of its state variables, such as pact the quality of the torque and the speed, thus de- flux, are not measurable [7]. These constraints require grading the performances in transient state of the more advanced control algorithms to control the torque machine. This type of control is therefore used only for and flux of these machines in real time [8]. For several applications where the speed variation is not great, such as in pumping or ventilation [15, 16]. Subsequently, the Field Oriented Control (FOC) * Correspondence: [email protected] 1Laboratory of Production Engineering, Energy and Sustainable method was developed to control transient torque [5]. Development, Higher School of Technology, Sidi Mohamed Ben Abdellah This control provides a behavior of the IM similar to University, Fez, Morocco that of the DC machine with a decoupling between the Full list of author information is available at the end of the article © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. El Ouanjli et al. Protection and Control of Modern Power Systems (2019) 4:11 Page 2 of 12 torque and the flux of the machine [17–19], this decoup- controllers and the main problems encountered during ling provides a very fast torque response, a large speed this control strategy. Section 4 discusses some tech- control range and high efficiency for a wide load range. niques for improving conventional DTC, briefly recalling However, this control also has a high sensitivity to the some typical techniques and dealing with modern tech- parametric variations of the machine especially that of niques based on artificial intelligence. Section 5 presents the resistors whose value changes substantially with a comparative study between the improvement methods temperature [20–22]. Any difference between the pa- presented, a table summarizing the comparison is pre- rameters used by the FOC algorithm and the actual pa- sented at the end of this article which aims to help in rameters of the machine is translated by errors in the the choice of the appropriate command for the specific output values of the flux and the torque, which leads to application given, and Section 6 summarizes the conclu- increased losses in the machine and reduced perform- sions of the paper. ance of the system to be controlled [23]. In the middle of 1980s, Direct Torque Control (DTC) 2 Dynamic model of induction machine was introduced to compete with conventional controls. The most appropriate model to study the dynamic be- This technique was introduced by TAKAHASHI [24]and havior and control algorithms design of the three-phase DEPENBROCK [25]. It has remarkable dynamic perform- IM is the two-phase model expressed by the reference ance as well as good robustness with respect to the varia- (α,β)[34, 35]. This model reduces the complexity of the tions of the parameters of the machine. Its principle is three-phase representation (a, b, c) of the machine. based on a direct determination of the control pulses ap- The electromagnetic equations of the induction ma- plied to the switches of the voltage inverter [26–28]. How- chine in the reference frame (α, β) are given by [36, 37]: ever, two major drawbacks arise: (i) the switching 2 3 2 3 1 ωr 2 3 1 1 1 −ωr frequency is highly variable and (ii) the undulations ampli- isα 6 − þ σ τ σL 7 isα 6 7 6 σ τ τ 1 1 1 Lωs r s 7 6 7 d i β 6 s r − þ r 1 7 i β tude of the torque and the stator flux remain poorly con- 6 s 7 ¼ 6 ω σ τ τ − 7:6 s 7 4 ψ 5 6 r s r σ σ τ 7 4 ψ 5 dt sα 4 − Ls Ls r 5 sα trolled throughout the speed range of the envisaged ψ Rs 0 0 0 ψ sβ 0 −R sβ operation [29–31]. It should be mentioned that the ripples s 0 0 2 3 in the torque generate additional noise and vibrations and 1 0 6 7 σLs 1 6 7 V sα therefore cause disturbances in the rotating shaft [32]. þ6 0 σL 7: 4 s 5 V β Currently, a lot of research has tried to solve these 1 0 s 1 problems. The Artificial Intelligence (AI) control is a vo- 0 ð Þ cabulary that has emerged in recent years and occupies 1 a large place in modern research fields. Fuzzy logic, With σ, τ and τ are positive constants defined as: neural networks and genetic algorithms are the major s r families that constitute AI. In [29, 33], the authors 2 σ ¼ − M τ ¼ Rs τ ¼ Rr propose AI techniques to improve the dynamic perform- 1 s r LsLr Ls Lr ance of the DTC control, these control methods can provide performance optimization under different oper- The equations of electromagnetic torque and the ating conditions aiming ripples reduction of the torque movement are given by the following expressions: and flux, THD reduction, efficiency improvement, en- ¼ ψ −ψ ð Þ ergy savings and etc. T em p sαisα sβisβ 2 From published literature, different works considering DTC schemes for induction motor drives, but these dΩ J: þ f :Ω ¼ T −T ð3Þ schemes are not reviewed critically. Our contribution of dt em r this work is to review different modern techniques for improving the performance of direct torque control; the The passage of a three-phase reference (a, b, c) to- α β aim is to give an idea to researchers who are interested wards a two-phase reference ( , ) can be achieved by in the current state of the art of DTC strategy and work the transformation called Concordia [38], this trans- on new lines of research. formation is given by: This review paper is organized as follows: Section 2 2 3 2 3 rffiffiffi − 1 − 1 presents the three-phase mathematical model of the IM 6 1 7 Xa Xα ¼ 2: p2ffiffiffi p2ffiffiffi :4 5 ð Þ and its transformation in the two-phase system. A repre- 4 5 Xb 4 Xβ 3 3 3 sentation in the form of a state is developed from the 0 − Xc 2 2 physical laws that govern its operation by supplying the machine with voltage. Section 3 discusses the classical With: X can be a current, voltage or the flux of the DTC technique based on the switch table and hysteresis machine. El Ouanjli et al. Protection and Control of Modern Power Systems (2019) 4:11 Page 3 of 12 3 Direct torque control The stator flux ψs and the electromagnetic torque The direct torque control (DTC) for induction ma- Tem are estimated from the following equations: chines was proposed in the middle of 1980s by qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi Takahashi [24] and Depenbrock [25].

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