**Author details**

16 Will-be-set-by-IN-TECH

1.04 1.05 1.06 1.07 1.08 1.09 1.1 1.11 1.12

(a)

1.04 1.05 1.06 1.07 1.08 1.09 1.1 1.11 1.12

(b)

**Figure 10.** Comparison between *isd* currents at 30 Hz. (a) Simulated (RLS - parameter) and measured *isd*

A methodology for single-phase induction machine parameter identification was presented and discussed in this chapter. The machine tested was a SPIM used in a hermetic compressor of air conditioning. Using the proposed methodology it is possible to obtain all electrical parameters of SPIM for simulation and design of high performance vector control and sensorless SPIM drives. The main contribution of this study is the development of an automatized procedure for the identification of all electrical parameters of SPIM, such as the SPIM used in hermetic conditioning compressor. Experimental results demonstrate the effectiveness of the method. Some experimental comparisons among measurements and simulations using parameters estimated by classical tests and simulations using parameters obtained by RLS algorithm are presented. From Table 3 and Table 4 it is possible to observe that the parameters obtained with RLS algorithm converge to different values compared to classical tests. However, the results in Fig. 5 - 10 show that the parameters estimated with RLS algorithm present equivalent dynamical behavior compared with parameters estimated by classical methods. The methodology proposed in this chapter can be extended to be applied

time (s)

experimental

simulated − classical

time (s)

experimental

simulated − RLS

−1

−1

currents. (b) Simulated (classical tests) and measured *isd* currents.

in other SPIM drives and three-phase induction motor drives.

−0.5

isd (A)

**5. Conclusion**

0

0.5

1

−0.5

isd (A)

0

0.5

1

Rodrigo Padilha Vieira

*Federal University of Pampa - UNIPAMPA, Federal University of Santa Maria - UFSM, Power Electronics and Control Research Group - GEPOC, Brazil*

### Rodrigo Zelir Azzolin

*Federal University of Rio Grande - FURG, Federal University of Santa Maria - UFSM, Power Electronics and Control Research Group - GEPOC, Brazil*

### Cristiane Cauduro Gastaldini

*Federal University of Pampa - UNIPAMPA, Federal University of Santa Maria - UFSM, Power Electronics and Control Research Group - GEPOC, Brazil*

### Hilton Abílio Gründling

*Federal University of Santa Maria - UFSM, Power Electronics and Control Research Group - GEPOC, Brazil*

## **6. References**


**Control and Diagnosis** 


**Control and Diagnosis** 

18 Will-be-set-by-IN-TECH

[13] Koubaa, Y. [2004]. Recursive identification of induction motor parameter, *Simulation*

[14] Krause, P. C., Wasynczuk, O. & Sudhoff, S. D. [2002]. *Analysis of Electric Machinery and*

[15] Lascu, C., Boldea, I. & Blaabjerg, F. [2005]. Comparative study of adaptive and inherently sensorless observers for variable-speed induction-motor drives, *IEEE Transactions on*

[16] Middleton, R. H. & Goodwin, G. C. [1990]. *Digital Control and Estimation - A Unified*

[17] Myers, M., Bodson, M. & Khan, F. [2011]. Determination of the parameters of non-symmetric induction machines, *Annual IEEE Applied Power Electronics Conference and*

[18] Nied, A., de Oliveira, J., de Farias Campos, R., Jr., S. I. S. & de Souza Marques, L. C. [2011]. *Space Vector PWM-DTC Strategy for Single-Phase Induction Motor Control, Electric*

[19] Orlowska-Kowalska, T. & Dybkowski, M. [2010]. Stator-current-based mras estimator for a wide range speed-sensorless induction-motor drive, *IEEE Transactions on Industrial*

[20] Rao, S., Buss, M. & Utkin, V. [2009]. Simultaneous state and parameter estimation in induction motors using first- and second-order sliding modes, *IEEE Transactions on*

[21] Ribeiro, L. A. S., Jacobina, C. B. & Lima, A. M. N. [1995]. Dynamic estimation of the induction machine parameters and speed, *26th Annual IEEE Power Electronics Specialists*

[22] Toliyat, H., Levi, E. & Raina, M. [2003]. A review of RFO induction motor parameter estimation techniques, *IEEE transactions on Energy conversion* 18(2): 271–283. [23] Utkin, V. [1993]. Sliding mode control design principles and applications to electric

[24] Vaez-Zadeh, S. & Reicy, S. [2005]. Sensorless vector control of single-phase induction motor drives, *Proceedings of the Eighth International Conference on Electrical Machines and*

[25] van der Merwe, C. & van der Merwe, F. [1995]. A study of methods to measure the parameters of single-phase induction motors, *IEEE Transactions on Energy Conversion*

[27] Velez-Reyes, M., Minami, K. & Verghese, G. [1989]. Recursive speed and parameter estimation for induction machines, *Conference Record of the Industry Applications Society*

[28] Vieira, R. P., Azzolin, R. Z., Gastaldini, C. C. & Gründling, H. [2010]. Electrical parameters identification of hermetic refrigeration compressors with single-phase induction machines using RLS algorithm, *International Conference on Electrical Machines,*

[29] Vieira, R. P., Azzolin, R. Z. & Gründling, H. A. [2009]. A sensorless single-phase induction motor drive with a MRAC controller, *35st Annual Conference of IEEE Industrial*

[30] Vieira, R. P., Azzolin, R. Z. & Gründling, H. A. [2009]. Parameter identification of a single-phase induction motor using RLS algorithm, *Brazilian Power Electronics Conference,*

[31] Zahedi, B. & Vaez-Zadeh, S. [2009]. Efficiency optimization control of single-phase induction motor drives, *IEEE Transactions on Power Electronics* 24(4): 1062 –1070.

[26] Vas, P. [1998]. *Sensorless Vector and Direct Torque Control*, Oxford Univ. Press.

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**Chapter 12** 

© 2012 Duarte-Mermoud and Travieso-Torres, licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is

© 2012 Duarte-Mermoud and Travieso-Torres, licensee InTech. This is a paper distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

properly cited.

**Advanced Control Techniques** 

Additional information is available at the end of the chapter

parameter variations of the motor-load set.

advanced control techniques described here.

Manuel A. Duarte-Mermoud and Juan C. Travieso-Torres

The design of suitable control algorithms for induction motors (IM) has been widely investigated for more than two decades. Since the beginning of field oriented control (FOC) of AC drives, seen as a viable replacement of the traditional DC drives, several techniques from linear control theory have been used in the different control loops of the FOC scheme, such as Proportional Integral (PI) regulators, and exact feedback linearization (Bose, 1997, 2002; Vas, 1998). Due to their linear characteristics, these techniques do not guarantee suitable machine operation for the whole operation range, and do not consider the

Several nonlinear control techniques have also been proposed to overcome the problems mentioned above, such as sliding mode techniques (Williams & Green, 1991; Al-Nimma & Williams, 1980; Araujo & Freitas, 2000) and artificial intelligence techniques using fuzzy logic, neuronal networks or a combination of them (Vas, 1999; Al-Nimma & Williams, 1980; Bose, 2002). All these techniques are based on complex control strategies differing of the

In this chapter we present a collection of advanced control strategies for induction motors, developed by the authors during the last ten years, which overcome some of the disadvantages of the previously mentioned control techniques. The techniques studied and presented in this chapter are based on equivalent passivity by adaptive feedback, passivity by interconnection and damping assignment (IDA-PCB) and fractional order proportional-

All of the control strategies described here guarantee high performance control, such as high starting torque at low speed and during the transient period, accuracy in steady state, a wide range of speed control, and good response under speed and load changes. For all of

integral controller (FOPIC) in the standard field oriented control scheme (FOC).

**for Induction Motors** 

http://dx.doi.org/10.5772/50237

**1. Introduction** 
