Publications Scientifiques

Permanent URI for this communityhttps://dspace.univ-boumerdes.dz/handle/123456789/10

Browse

Subject: search.filters.subject.PI controller

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Design of an Advanced Optimal Fuzzy Controller For a Binary Distillation Column
    (Université M'hamed Bougara de Boumerdès, 2024) Bendib, Riad; Mechhoud, El-arkam; Bentarzi, Hamid; Batout, Naoual
    The most common control philosophy followed in the chemical process industries is the SISO system using the conventional PID controller algorithms. One drawback is relying on models for both control and design work in Chemical process industries (CPI) is that many problems are very complex and accurate models are difficult, if not impossible to obtain. To overcome these problems, it will be helpful to apply techniques that use human judgment and experience rather than precise mathematical models, which in the major cases deduced from the linearization of the system and simplification hypothesis. The fuzzy logic systems are capable of handling complex, nonlinear systems using simple solutions. However, obtaining an optimal set of fuzzy membership functions is not an easy task. In this chapter a solution based on artificial intelligence is proposed to improve the control of a binary distillation column. The solution is based on the use of the advantages of both fuzzy logic and genetic algorithms. The fuzzy logic is used as a supervisory PI controller that is a simple PI controller that generally used in controlling distillation columns with parameters deduced from the fuzzy supervisor. The membership functions shape is deduced by using research algorithms based on hierarchical genetic algorithms. The results show that the Fuzzy supervisory PI controller provide an excellent tracking toward set point change
  • No Thumbnail Available
    Item
    Robustness Enhancement of Fractionalized Order Proportional Integral Controller for Speed Control of Indirect Field-Oriented Control Induction Motor
    (Wydawnictwo SIGMA-NOT, 2024) Ousaadi, Zahira; Akroum, Hamza; Idir, Abdelhakim
    This article presents a novel approach for controlling an induction motor (IM) drive using a fractionalized order proportional integral (FrOPI) controller within an indirect field-oriented control (IFOC) scheme. In contrast to the conventional Integer Order PI controllers (IOPI), the FrOPI controllers demonstrate enhanced performance owing to their nonlinear characteristics and the inherent iso-damping property of fractional-order operators. The performance of the induction motor is thoroughly assessed under various conditions, including starting, running, speed reversal, and sudden changes in load torque. Simulation results are then presented to confirm the effectiveness of the induction motor drive when utilizing the FrOPI controller
  • No Thumbnail Available
    Item
    Scalar control of induction motor drives using dSPACE DS1104
    (2013) Akroum, Hamza; Kidouche, M.; Aibeche, Abderrazak
    This paper deals with design and implementation of Voltage/Frequency (V/f) control of induction motor (IM) drives. Sinusoidal PWM (SPWM) and non sinusoidal PWM, using an injected Zero-Sequence Signal (ZSS), are used for controlling the motor. An analytical approach is used to design the Proportional Integral Controller with antiwindup. The design procedure uses only the name plate data. A 3Kw, 3-phase, 50Hz, 1420rpm, induction motor and a dSPACE DS1104 hardware/software are used to carry out the control application. The experimental results show the effectiveness of the control method