Feedback Linearization of Speed-Sensorless Induction Motor Control with Torque Compensation

作者: Cristiane Cauduro , Rodrigo Zelir , Rodrigo Padilha , Hilton Ablio

DOI: 10.5772/14293

关键词:

摘要: This chapter addresses the problem of controlling a three-phase InductionMotor (IM) without mechanical sensor (i.e. speed, position or torque measurements). The elimination is an important advent in field low andmedium IM servomechanism; such as belt conveyors, cranes, electric vehicles, pumps, fans, etc. absence this (speed, torque) reduces cost and size, increases reliability overall system. Furthermore, these sensors are often difficult to install certain applications susceptible electromagnetic interference. In fact, sensorless servomechanism may substitute measure value by estimated one deteriorating drive dynamic performance especially under uncertain load torque. Many approaches for have been proposed literature related vector-controlled methodologies. One nonlinear control methodologies based on Feedback Linearization Control (FLC), first introduced (Marino et al., 1990). FLC provides rotor speed regulation, flux amplitude decoupling compensation. Although strategy presented 1990) was not strategy, fundamental principles follow design strategies, (Gastaldini & Grundling, 2009; Marino 2004; Montanari 2007; 2006). purpose present development two strategies presence disturbance variation, conditions. Both easily implemented fixed point DSP, TMS320F2812 used real time experiments can be reproduced industry. analysis comparing implementation limitation both presented. order implement law, algorithms made use only two-phase stator currents measurement. values states algorithm using Model Reference Adaptive System (MRAS) (Peng Fukao, 1994) Kalman filter (Cardoso 2009), respectively. organized follows: Section 2 presents fifth-order mathematical model. 3 introduces feedback linearization modelling control. A simplified Cristiane Cauduro Gastaldini1, Rodrigo Zelir Azzolin2, Padilha Vieira3 Hilton Abilio Grundling4 1,2,3,4Federal University Santa Maria 2Federal Rio Grande 3Federal Pampa Brazil 6

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