Volume 19, Issue 3, September 2016, Pages 1099–1107 Wavelet-fuzzy speed indirect field oriented controller for three-phase AC motor drive – Investigation and implementation a b c d e f g Received 25 July 2015, Revised 12 November 2015, Accepted 12 November 2015, Available online 2 December 2015Three-phase voltage source inverter driven induction motor is used in many medium- and high-power applications. Precision in speed of the motor play vital role, i.e. popular methods of direct/indirect field-oriented control (FOC) are applied. FOC is employed with proportional–integral (P-I) or proportional–integral–derivative (P-I-D) controllers and they are not adaptive, since gains are fixed at all operating conditions. Therefore, it needs a robust speed controlling in precision for induction motor drive application. This research paper articulates a novel speed control for FOC induction motor drive based on wavelet-fuzzy logic interface system. In specific, the P-I-D controller of IFOC which is actually replaced by the wavelet-fuzzy controller.

The speed feedback (error) signal is composed of multiple low and high frequency components. Further, these components are decomposed by the discrete wavelet transform and the fuzzy logic controller to generate the scaled gains for the indirect FOC induction motor. Complete model of the proposed ac motor drive is developed with numerical simulation Matlab/Simulink software and tested under different working conditions. For experimental verification, a hardware prototype was implemented and the control algorithm is framed using TMS320F2812 digital signal processor (dsp). Both simulation and hardware results presented in this paper are shown in close agreement and conformity about the suitability for industrial applications.Keywords; ; ; ; ; ; 1. IntroductionIn industrial application, sectors utilize three-phase induction motor (IM), characterized by the freedom of variable speed control, ruggedness, less maintenance, low cost, reliability, and better efficiency than its counter single-phase IM.

Mostly renowned speed controlling techniques are field oriented control (FOC) either indirect or/direct vector control. Such controlling technique produces the decoupling effect of the torque and flux components leading to independent control like dc machines [1]. But still posses drawbacks by its proportional-integral (P-I) or proportional-integral-derivative (P-I-D) controllers, where their gain values are set constant at all operating conditions. Moreover, the performance of these controllers depends on the slip calculation, which in-turn depends on rotor time constant, and its value depends on the operating condition. Overall, these controllers are not adaptive and less reliable with respect to the environmental conditions of the ac motor drive system.Controlling techniques of IM are extended by the intelligent techniques like neural network and fuzzy logic found attention and said to overcome the above stated drawbacks [2]. Neural network controller (NNC) does not involve analytical model of the complete system under test and has the ability to adapt it to change in control environment.

It is a tedious job to select right neural controller architecture and its training neuron process, and causes increased computation time which affects system performance in real time. Moreover, fuzzy logic controller (FLC) is the simplest intelligent version, and its expert knowledge to drive and control the set action works well even if the system is undefined and even subject to parametric variations [2].Recent years, the wavelet transform (WT) found its application in control systems as well as for fault diagnostics tool for ac motor drives and modulator multilevel converters and transform technique widely popularized [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] and [12]. air conditioner split system componentsClassically, the WT is a multi-resolution spectrum used to extract and detect components of the signal frequencies at any interval by protecting the data and representing it in another form. 12 ton ac unit for sale

Neural network with wavelet systems are used to control a servo IM drive [2], where the wavelet neural network controller (WNNC) is designed to implement a computed-torque control technique, and is expected to recover the residual approximation. WNNC based adaptive speed control for a permanent-magnet synchronous motor (PMSM) is addressed, and results show attractive performances [3], [4] and [5]. Wavelet network (WN) speed controller is also adapted for a dc motor, where the function of WN is an adaptive speed control to achieve high precision [5]. air conditioning fan motor not workingMost complex applications of estimating the rotor time constant for IFOC IM drive are implemented and wavelet application justified by its outcomes by accurate estimations than standard filters [6]. Wavelet modulated inverter for single-phase IM drive, where PWM are generated by non-dyadic wavelet function based on multi-resolution analysis (MRA) is articulated for its applicability in modulation schemes of drives [7].

Complete descriptive survey confirms that there is a recent trend in wavelet transform controller for electric drives. This work articulates on a novel and simple wavelet, fuzzy integrated IFOC speed controller for IM drive. Complete proposed model of the Wavelet-fuzzy IFOC IM drive is developed in numerical (Matlab/Simulink) simulation software and tested under different designed conditions. Further, experimental hardware prototype was built using TMS320F2812 digital signal processor (dsp) for verifying the performances in real time. Set of both simulation and experimental results are provided in this paper, which always shows the effectiveness and reliability of proposed control scheme for industrial application needs.This paper is organized as follows. Section 2 describes the dynamics of three-phase IM. The discrete wavelet transform is described in section 3. The selection of wavelet and level of decomposition are discussed in section 4. The detailed description about the hardware implementation of the proposed concept, complete set of numerical simulation and experimental results are given in section 5.