Contrôle

Now showing 1 - 3 of 3

PLC and HMI based monitoring and control of an induction motor using VFD drive and profinet protocol
(Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Zerrouki, Abderrezak; Ouadi, Abderrahmane (Supervisor)
Various applications in industrial automation require accurate and effective motor speed control. This project addresses this need by developing a motor speed control system utilizing a variable frequency drive (VFD), programmable logic controller (PLC), and human-machine interface (HMI). To achieve variable speed control, the study examines the operating characteristics of AC motors and their fundamental concepts, as well as the way VFDs manipulate the provided AC power. It delves into the capabilities of PLCs, highlighting how they receive control signals and direct the VFD to perform the desired motor functions. The integration of an HMI offers a user-friendly interface for system monitoring, speed set point adjustments, and fault identification. Additionally, the project incorporates the PROFINET protocol to ensure efficient and reliable communication between the PLC, VFD, and HMI. The implementation includes detailed system design, programming, and configuration. Results demonstrate the effectiveness of the integrated system in achieving accurate and responsive motor speed control, underscoring the advantages of using VFD, PLC, HMI, and PROFINET technologies in industrial automation.
Speed control of induction motor using three fuzzy logic-based controllers
(2021) Yahia, Amina; Bouyahia, Hadjer; Boushaki, Razika (supervisor)
This work portrays the methods for controlling an induction motor using three different types of fuzzy controllers: single-stage fuzzy controller; fuzzy-PID controller and adaptive- fuzzy-PID controller. The comparative performance of these three techniques has been presented and analyzed in this work. The proposed scheme uses indirect field oriented control and is simulated using MATLAB. The IFOC accepts two inputs: the reference torque from the speed controller and the measured current feedback. Using the Clark and Park transformations, the current is transformed from the three phase to the rotating reference frame. The new reference currents are then measured before being transformed back to the three phase using inverse Park and Clark. The new reference current will be fed to the hysteresis current controller for current tracking then to the three-phase inverter. Finally, the inverter is connected to the squirrel cage induction motor. The first speed controller consists of a simple single-stage fuzzy controller. This fuzzy controller regulates the output torque depending on the error and error ratio ranges, which are chosen according to the if-then rules. The second controller demonstrates the speed control using a fuzzy-PID control. A PID controller is connected to the fuzzy controller. The gain parameters of the PID are fixed. The third controller displays the Adaptive-fuzzy PID controller. It is also called multiple-stage controller since three fuzzy blocks are used. Each controller is used to adjust the gain values of the PID, depending on the changes in the error and error ration. The ranges of the membership functions are determined using error-and-trial method. Then the PID uses these gain values, alongside the error value to calculate the torque value.
Fuzzy-PID speed controller for an induction motor
(2020) Bougheloum, Dhya Eddine; Benyahia, Sofiane; Boushaki, Razika (supervisor)
The main objective of vector control or field-oriented control (FOC) control is to have decoupled control of flux and torque in three phase induction motors. FOC rotates the stationary stator reference frame into rotating reference frame attached to the rotor flux linkage space phasor which results in a decomposition of stator currents into torque and flux producing components under orthogonality. This will give fast dynamic response as compares to other scalar drives i.e. variable frequency drive (V/F). This project presents a Fuzzy-PID control system for the speed control of a three-phase squirrel cage induction motor. The proposed method uses both Fuzzy logic and conventional controllers along with vector control technique. This method combines the advantages of the fuzzy logic controller and conventional controllers to improve the speed response of the induction motor. The FLC observes the closed loop error signal and then controls the PID input error signal so that the actual speed matches the reference speed with reduced rise time, settling time, and peak over shoot. Implementation and simulation results using MATLAB of multiple controllers such as (PID, Fuzzy, and Fuzzy-PID) are compared along with conventional PI controller in terms of some performance measurements such as rise time (tr), maximum percent overshoot (Mp), settling time (ts), and steady state error (Ess) at various load conditions. The results of the simulation verified the effectiveness of the proposed speed controller model under different operating conditions and demonstrated improvements in performance in speed tracking and system's stability.

Contrôle

Browse

Filters

Settings

Sort By

Results per page

Search Results