Deepika Malviya, et. al. International Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 12, Issue 4, (Series-I) April 2022, pp. 60-67 www.ijera.com DOI: 10.9790/9622-1204016067 60 | Page Direct Torque Control Based Induction Machines Deepika Malviya, Rakeshwri Agrawal, Deepak Agrawal Department of Electrical & Electronics Engineering, Trinity Institute of Technology and Research, Bhopal, Madhya Pradesh, India ABSTRACT In industry most of the electric motor load is Induction Motor (IM). IM has high performability with good degree of reliability as well as low maintenance which make it popular electric motor choice. However, it suffers from complex dynamic control architecture. IM has complex sets of non-linear equations with multivariable functionality. Also, its control has direct as well as indirect proportionality which make it difficult to design. In this paper the speed-torque characteristic of IM is designed using one very popular direct control method i.e., Direct Torque Control Method (DTCM). The simulation results are presented to study the behavior of speed under variable torque which is the result of variable loading condition. The control is so designed so as to keep the speed constant even under varying torque and vice-versa. Keywords— Induction Motor (IM), Direct Torque Control Method (DTCM), Field Oriented control (FOC), DC-Drive control, Sliding Mode Control (SMC). --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 04-04-2022 Date of Acceptance: 19-04-2022 --------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION Aggregate of the overall industrial electricity demand has been consumed by electric motors particularly Induction Motor (I-M), since it has good degree of reliability as well as low maintenance [1]. Some IM applications requires precise and instant dynamic response, hence versatile control approach has been available in literature [2- 5]. While designing control for IM, it must be noteworthy that the modelling of multivariable functions is strongly coupled with the series of non- linear equations. These constraints need fast computational algorithm to control stator flux and torque. Firstly, scalar control is designed using voltage-frequency (V-F) characteristics for keeping flux constant [6]. V-F is the simplest type of control, but on reversal of directions oscillations generated in stator flux are difficult to damped out. For control of torque in transient state Field Oriented Control (FOC) was developed [7]. FOC has fast dynamic response high efficiency for variable load changing and high range of speed control. But its control is complex. The advancement in control is continued and in 1980’s Direct Torque Control Method (DTCM) was developed having significant dynamic torque response and simple control with adequate parametric variation response [8,9]. The comparison of the above mentioned methods is elaborated in table 1. With the advent in the development of computational technologies, various soft computing techniques are also developed by researchers [10, 11]. These techniques requires high computational software with high degree of sensitivity and accuracy. The most common techniques are artificial intelligence, genetic algorithm, fuzzy control, neural network, etc. Among all the available control architecture DTC is the most popular due to its compatible efficiency with ease of control. This paper presents the performance analysis of DTC based IM for speed torque control. TABLE I. COMPARISON OF CONTROL STRATEGIES OF I-M Control Type Torque Control Flux Control Response DC Drive Direct Direct High Scalar frequency control None None Low Field Oriented Control Indirect Direct High Direct Torque Control Direct Direct High RESEARCH ARTICLE OPEN ACCESS