Simulation and modelling of a variable gain PI controller for speed control of a direct torque neuro fuzzy controlled induction machine drive

Miloudi, A.; Radadi, E.A.A.; Draou, A.; Miloud, Yahia

doi:10.1109/pesc.2004.1355092

Cited by 27 publications

(19 citation statements)

References 17 publications

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“…This is mainly caused by the fact that the gains of the controller cannot be set to solve the over shoot and disturbance rejection problems simultaneously [10]. Overshoot elimination setting will cause a poor disturbance rejection, and rapid disturbance rejection setting will cause important overshoot or even instability in the system.…”

Section: Vmentioning

confidence: 99%

A variable gain PI to improve the performances of a unified power flow controller system

Sekour¹,

Mankour²,

Hartani³

2017

IJAEMS

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Section: Vmentioning

confidence: 99%

A variable gain PI to improve the performances of a unified power flow controller system

Sekour¹,

Mankour²,

Hartani³

2017

IJAEMS

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“…They link multiple images together and strive to obtain an understanding of the entire system. 4. If the information is inadequate, an effort is made to acquire additional information from specific parts of the system by active manipulation.…”

Section: Gathering Input-output Numerical Datamentioning

confidence: 99%

“…In [4], an original variable gain proportional-integral (VGPI) controller was presented for speed control of a direct torque neuro fuzzy-controlled (DTNFC) induction motor drive. The results showed the effectiveness of the method for solving speed control problems of an induction motor as an intelligence control.…”

Section: Introductionmentioning

confidence: 99%

Actor-Critic Based Ink Drop Spread as an Intelligent Controller

Sagha¹,

Afrakoti²,

Bagherishouraki³

2013

Turk J Elec Eng & Comp Sci

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This paper introduces an innovative adaptive controller based on the actor-critic method. The proposed approach employs the ink drop spread (IDS) method as its main engine. The IDS method is a new trend in softcomputing approaches that is a universal fuzzy modeling technique and has been also used as a supervised controller.Its process is very similar to the processing system of the human brain. The proposed actor-critic method uses an IDS structure as an actor and a 2-dimensional plane, representing control variable states, as a critic that estimates the lifetime goodness of each state. This method is fast, simple, and away from mathematical complexity. The proposed method uses the temporal differences (TD) method to update both the actor and the critic. Our system: 1) learns to produce realvalued control actions in a continuous space without regarding the Markov decision process, 2) can adaptively improve performance during the lifetime, and 3) can scale well to high-dimensional problems. To show the effectiveness of the method, we conduct experiments on 3 systems: an inverted pendulum, a ball and beam, and a 2-wheel balancing robot.In each of these systems, the method converges to a pertinent fuzzy system with a significant improvement in terms of the rise time and overshoot compared to other fuzzy controllers.

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“…The closed loop PID controller can be used controls the speed of DC motor [10]. A variable gain PI controller that designed to replace the classical PI the motor reaches the reference speed rapidly and without overshoot [16]. The constant flux of three phase induction motor drives using fuzzy logic controller that has been achieved in rise time and steady state of speed controlled [3], [5], [6].…”

Section: E Fuzzy Pid Compensation Systemmentioning

confidence: 99%

Fuzzy PID Control Compensation System for Speed of VVVF Induction Motor Drive

Ruksaboon¹,

Thongchaisuratkrul²

2013

IJCTE

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I. INTRODUCTIONThe induction motor is the electric motor type most used industry. The certain excellent features of the induction motor such as for the user this low cost and high reliability, good efficiency and low maintenance. The induction motors are asynchronous induction machines whose speed depends upon applied frequency, pole pair number, and load torque. This market need and growing at a healthy rate as users of operating motors at variable speeds [1].The core of algorithm traditional control for induction motor drives were PI/PID control. That the simple structure and stable performance. But it is difficult to meet the high precision and fast response [2]. The Fuzzy Logic Control novel design applied for the speed of an induction motor [1], [3], [4]- [6].The fuzzy two-degree of freedom to obtain good tracking and regulating response [7]. An advantage of traditional controlled that can be easily modified into the conventional controller structure by adding a compensator [8], [9]. In addition, that the two-layered control structure is robust to variations, as well as the steady-state gain of the plant [10]. Unfortunately, in the real control application, a global model is very difficult to build, and even when a model is available, complex conditions are obtained.The nonlinear system can be controlled if the dynamic model was established [11].Induction motor is a complex system, the control techniques such as PI, PID or Fuzzy controllers with auto-tuning function can be applied for driving [12], [13]. The compensation control system minimized torque ripple, reaches the reference speed rapidly and without overshoot [11], [14].The remainder of this paper is the further verification concept of high application in system drive. To find the Fuzzy PID control compensation performance of this system, the three phase induction motor with variable voltage-variable frequency technique (VVVF) is implemented. The computer control experimental was setup two-degree of freedom are chosen for rule base to compensating signal is added to PID by using LabVIEW. The simulation and real time control results are illustrated and compared. II. INDUCTION MOTOR DRIVE A. Variable-Voltage Variable-Frequency (VVVF) Induction Motor DriveSome problem in the operation of induction motor this open-loop control are the following: the speed cannot be controlled precisely, the slip speed cannot be maintained [12]. These problems are to an extent overcome by having outer speed loop in the induction motor drive. The actual rotor speed ( ) is compare with its command value( * )and the error is processed a controller usually a PI/PID. The slip-speed command is added to electrical rotor speed to obtain the stator frequency command. Thereafter, the stator frequency command is processed as in driven unit. is the maximum control voltage(+ 5 or +10V) * is the command speed of the motor The proportionality constant is defined as * = * * = * volt/(rad/sec)The gain of tachogenerator is defined asis the gain of the frequency transfer. * is the commande...

show abstract

Simulation and modelling of a variable gain PI controller for speed control of a direct torque neuro fuzzy controlled induction machine drive

Cited by 27 publications

References 17 publications

A variable gain PI to improve the performances of a unified power flow controller system

A variable gain PI to improve the performances of a unified power flow controller system

Actor-Critic Based Ink Drop Spread as an Intelligent Controller

Fuzzy PID Control Compensation System for Speed of VVVF Induction Motor Drive

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