A fuzzy-logic-based multimodel field orientation in an indirect FOC of an induction motor (original) (raw)

A Fuzzy robust field oriented control of induction motor

In spite the high performances which the induction motor vector control provides in very low speed, its control robustness remains greatly related to the machine parameters drift. Indeed, this is caused by the inside machine phenomena as temperature, saturation and skin effect. The rotor time constant is assumed very high sensitive parameters because its variation cause the detuning of field orientation and therefore degrade the decoupling control between flux and torque. To improve this, an on line fuzzy tuning scheme for indirect field oriented controlled induction machine is presented in this paper. Parameter uncertainties are reduced by combining two different methods to compute the stator frequency. Using fuzzy logic an adapted control scheme can realize good performance in terms of overshoot, reduction of flux orientation sensitivity to electrical parameter variations.

Multimodel Control and Fuzzy Optimization of an Induction Motor

International Journal of Artificial Intelligence & Applications, 2013

Classical indirect field-oriented control is highly sensitive to uncertainties in the rotor resistance of the induction motor. This sensitivity can be reduced by combining two different methods to compute the stator electrical frequency. Fuzzy logic is used to combine both methods to obtain a compromise which reduces the flux control sensitivity to electrical parameter errors at each operating point. The design of the fuzzy logic block is based on a theoretical sensitivity analysis taking magnetic saturation into account, in simulations. In this paper, the performance of the proposed control algorithm is theoretically studied. The predictions are validated by considering the stator current variations, to develop a given steady-state torque, induced by the imperfect flux control.

Fuzzy logic enhanced speed control of an indirect field-oriented induction machine drive

IEEE Transactions on Power Electronics, 1997

Field orientation control (FOC) of induction machines has permitted fast transient response by decoupled torque and flux control. However, field orientation detuning caused by parameter variations is a major difficulty for indirect FOC methods. Traditional probability density function (PID) controllers have trouble meeting a wide range of speed tracking performance even when proper field orientation is achieved. PID controller performance is severely degraded when detuning occurs. This paper presents a fuzzy logic design approach that can meet the speed tracking requirements even when detuning occurs. computer simulations and experimental results obtained via a general-purpose digital signal processor (DSP) system are presented.

Adaptive Fuzzy Logic Controller for Indirect Field Oriented Controlled Induction Motor

A New Adaptive Fuzzy Logic Control (AFLC) strategy is analyzed in this paper for three phase Induction Motor, in order to achieve robustness and fast dynamic response for high and low-speed variation and to attain high torque and efficiency. The direct-quadrature axis modeling of IM in the synchronous reference frame is accomplished in Matlab/Simulink. Both PI and AFLC based on Levenberg Marquart technique is analyzed, designed and simulated for Indirect Field Oriented Controlled (IFOC) IM drive system. A Comparative study to the conventionally tuned PI controller of controlled speed, torque, and flux loops results shows that the proposed ALFC based on LM gives better, effective and faster responses with low overshoot, rise and settling time for IFOC IM drive system.

On-line fuzzy tuning of indirect field-oriented induction machine drives

IEEE Transactions on Power Electronics, 1998

This paper presents an on-line fuzzy tuning scheme for indirect field-orientation (IFO)-controlled induction machine drives. A fuzzy controller is used to regulate the speed, and another two fuzzy compensators are combined to correct detuning of field orientation. Since detuning effects of the IFO induction machine drive is minimized by the new fuzzy control scheme, the induction machine can achieve good performance in terms of overshoot, steady-state error, torque disturbance, and variablespeed tracking. Efficiency and torque/ampere capability are also enhanced. The results obtained by laboratory implementation are presented to verify the effectiveness of the proposed on-line fuzzy-tuning scheme.

Fuzzy based direct torque and flux control of induction motor drives

This paper investigates direct torque and flux control of an induction motor drive based on the fuzzy logic (FL) control technique. Direct torque and flux control has become a widely acceptable alternative to field oriented control The hysteresis-band controller for the stator flux and the electromagnetic torque was designed using a fuzzy logic system. (FLS) in MATLAB. Simulation results show that the direct torque and flux control using an FL approach performs very fast dynamic response and has a simple structure which makes it to be more popularly used in the industry.

Performances of fuzzy-logic-based indirect vector control for induction motor drive

IEEE Transactions on Industry Applications, 2002

This paper presents a novel speed control scheme of an induction motor (IM) using fuzzy-logic control. The fuzzy-logic controller (FLC) is based on the indirect vector control. The fuzzy-logic speed controller is employed in the outer loop. The complete vector control scheme of the IM drive incorporating the FLC is experimentally implemented using a digital signal processor board DS-1102 for the laboratory 1-hp squirrel-cage IM. The performances of the proposed FLC-based IM drive are investigated and compared to those obtained from the conventional proportional-integral (PI) controller-based drive both theoretically and experimentally at different dynamic operating conditions such as sudden change in command speed, step change in load, etc. The comparative experimental results show that the FLC is more robust and, hence, found to be a suitable replacement of the conventional PI controller for the high-performance industrial drive applications.

State feedback tracking control for indirect field-oriented induction motor using fuzzy approach

This paper deals with the synthesis of fuzzy controller applied to the induction motor with a guaranteed model reference tracking performance. First, the Takagi-Sugeno (T-S) fuzzy model is used to approximate the nonlinear system in the synchronous d-q frame rotating with field-oriented control strategy. Then, a fuzzy state feedback controller is designed to reduce the tracking error by minimizing the disturbance level. The proposed controller is based on a T-S reference model in which the desired trajectory has been specified. The inaccessible rotor flux is estimated by a T-S fuzzy observer. The developed approach for the controller design is based on the synthesis of an augmented fuzzy model which regroups the model of induction machine, fuzzy observer, and reference model. The gains of the observer and controller are obtained by solving a set of linear matrix inequalities (LMIs). Finally, simulation and experimental results are given to show the performance of the observer-based tracking controller.

IJERT-Modeling and Simulation of Indirect Field Oriented Control of Three Phase Induction Motor using Fuzzy Logic Controller

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/modeling-and-simulation-of-indirect-field-oriented-control-of-three-phase-induction-motor-using-fuzzy-logic-controller https://www.ijert.org/research/modeling-and-simulation-of-indirect-field-oriented-control-of-three-phase-induction-motor-using-fuzzy-logic-controller-IJERTV3IS080938.pdf Indirect field oriented induction motor drives are rapidly increasing in the industrial sector, but the performance of the drive decreases by the change in the motor parameters. This paper presents the modelling and simulation of indirect field oriented control of induction motor drives. This scheme is explained using field orientation control principle of induction motor drive fed through inverter. The fuzzy logic controller for speed control is used in the outer loop of the induction motor drive so that the machine will follow a reference model. To verify the design of the proposed controller, the simulation is carried out in the Matlab/Simulink platform. The simulation results are presented to demonstrate the effectiveness of the proposed fuzzy logic controller.