Sliding mode feedback linearized control of PWM inverter fed induction motor

Kaźmierkowski, Marian P.; Sobczuk, D.L.

doi:10.1109/iecon.1996.570960

Cited by 20 publications

(9 citation statements)

References 12 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By considering the reduced model of the induction motor described by only the last third equations of the previous system (1), the state equations the voltage PWM source inverter fed induction motor with current control with (i s , i s ) as control variables and ( r , r , ) as state variables are given (Kazmierkowski and Sobczuk 1996;Mahmoudi et al 1999; Barazane et al 2007): …”

Section: Non-linear Feedback Controlmentioning

confidence: 99%

Cascade fuzzy variable structure control of induction motor based on the approach of fuzzy modelling of Ben-Ghalia

Barazane

Sicard

Ouiguini

2009

International Journal of Systems Science

View full text Add to dashboard Cite

In this article, a control design concept using fuzzy sets for an induction motor is presented. The aim of the proposed modelling approach is to provide a fuzzy set-based representation of the cascade sliding mode control of an induction motor fed by PWM voltage source inverter, which operates in a fixed reference frame. For this purpose, a new decoupled and reduced model is first proposed. Then, a set of simple surfaces and associated control laws are synthesised. A piecewise smooth control function with a threshold is adopted. However, the magnitude of this function depends closely on the upper bound of uncertainties, which include parameter variations and external disturbances. This bound is difficult to obtain prior to motor operation. To solve this problem, a fuzzy modelling approach is presented to improve the design and tuning of a fuzzy logic controller using variable structure control theory. The robust fuzzy control design is made feasible without resorting to model simplification or imposing restrictive conditions on the system uncertainty. The fuzzy controller is designed in order to improve the control performances and to reduce the control energy and the chattering phenomenon. Simulation results reveal some very interesting features and show that the proposed fuzzy sliding mode controller could be considered as an alternative to the conventional sliding mode control of induction motors. L m : mutual inductance T r : rotor time constant (L r /R r ) : total leakage coefficient ð ¼ 1 À L 2 m =ðL r À L s ÞÞ p : number of pairs of poles : mechanical speed J : moment of inertia f : viscous friction coefficient T L : load torque

show abstract

Section: Non-linear Feedback Controlmentioning

confidence: 99%

Cascade fuzzy variable structure control of induction motor based on the approach of fuzzy modelling of Ben-Ghalia

Barazane

Sicard

Ouiguini

2009

International Journal of Systems Science

View full text Add to dashboard Cite

show abstract

“…The sliding mode technique consists of bringing the state path of a system towards the sliding surface and swiching by means of appropriate switching logic around it to the equilibrium point, it is the sliding phenomenon.  The design of sliding mode controllers mainly requires  Three steps, [14], [15], [16] namely  The choice of the sliding surface;  The condition of convergence;  The calculation of control law.…”

Section: Sliding Mode Controllermentioning

confidence: 99%

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

Lakhdari

Bouchiba

2018

IJPEDS

View full text Add to dashboard Cite

In this paper, using synthesis of a hybrid control is applied to the speed of an induction motor feed by three-level inverter. Based on the combination of the fuzzy logic and the sliding mode approach, this method has the advantage of combining the performances of the two types of controllers. The fuzzy logic confers a very appreciable flexibility to the reasoning which uses and makes it possible to take into account Imprecisions and uncertainties, The sliding mode is a controller for nonlinear systems with non-constant parameters; it leads to precision and robustness, and allows solving problems obtained by conventional control laws. To lift the stresses of external disturbance and makes the system more performing and more robust, the two controllers of fuzzy logic and sliding mode are combined.

show abstract

“…The classical PI controller incorporated with FBL-controlled IM drive [4,5,7,17] has the disadvantages of steady-state ripple, decoupling of flux and torque affected by parametric uncertainties, and load perturbation with poor dynamic response. To encounter these problems, SMC-based feedback-linearized IM drive has been introduced effectively in [18], which exhibits robust performance with system uncertainties. However, the chattering effect due to switching control law is introduced in the system response [19,20].…”

Section: Introductionmentioning

confidence: 99%

Implementation of feedback-linearization-modelled induction motor drive through an adaptive simplified neuro-fuzzy approach

Mishra

Mohanty

2017

Sādhanā

View full text Add to dashboard Cite

A simple modified version of neuro-fuzzy controller (NFC) method based on single-input, reduced membership function in conjunction with an intuitive flux-speed decoupled feedback linearization (FBL) approach of induction motor (IM) model is presented in this paper. The proposed NFC with FBL remarkably suppresses the torque and speed ripple and shows improved performance. Further, the modified NFC is tuned by genetic algorithm (GA) approach for optimal performance of FBL-based IM drive. Moreover, the GA searches the optimal parameters of the simplified NFC in order to ensure the global convergence of error. The proposed simplified NFC integrates the concept of fuzzy logic and neural network structure like a conventional NFC, but it has the advantages of simplicity and improved computational efficiency over the conventional NFC as the single input introduced here is an error (speed and torque) instead of two inputs, error and change in error, as in the conventional NFC. This structure makes the proposed NFC robust and simple as compared with conventional NFC and thus, can be easily applied to real-time industry application. The proposed system incorporated with different control methods is also validated with extensive experimental results using DSP2812. The effectiveness of the proposed method using FBL of IM drive is investigated in simulation as well as in experiment with different working modes. It is evident from the comparative results that the system performance is not deteriorated using the proposed simple NFC as compared to the conventional NFC; rather, it shows superior performance over PI-controller-based drive.

show abstract

Sliding mode feedback linearized control of PWM inverter fed induction motor

Cited by 20 publications

References 12 publications

Cascade fuzzy variable structure control of induction motor based on the approach of fuzzy modelling of Ben-Ghalia

Cascade fuzzy variable structure control of induction motor based on the approach of fuzzy modelling of Ben-Ghalia

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

Implementation of feedback-linearization-modelled induction motor drive through an adaptive simplified neuro-fuzzy approach

Contact Info

Product

Resources

About