Papers by Keyword: PI Controller

Abstract: Due to the nonlinear magnetic characteristics of the Linear Reluctance Motor (LRM), the system exhibits overshoot and oscillatory behavior during operation. To achieve accurate rotor position control, two control strategies are implemented: a conventional Proportional-Integral (PI) controller and a Simulated Annealing (SA) algorithm integrated with a PI controller. The dynamic model of the LRM is simulated using MATLAB Simulink (version 2024a) in the d-q reference frame with real-time rotor position feedback. Three types of reference position trajectories-trapezoidal, linear, and nonlinear-are applied to evaluate the motor’s performance. The simulation results show that the SA-PI controller significantly enhances both position and velocity tracking accuracy compared to various reference position trajectories.

Abstract: Electric ship propulsion is no longer a revolutionary idea in the marine sector today. Lights were the first thing that needed electricity on board a ship, and it later applied to an electric ship propeller that is powered by an electric motor. Eventually, the idea of all-electric ships enters the picture, allowing all ship power sources to run both auxiliary and propulsion loads. Due to the great electric power constraints, numerous electric motors are used in industrial and naval ships, and the development of power electronics has made it easier to manage and regulate these motors. The switching resistance motor is becoming more popular despite its low dependability and straightforward design. Such benefits make SR motors superior to conventional adjustable speed devices. Due to their significant torque fluctuations, variable reluctance motors have recently been used in restriction traction systems. On the other side, torque ripple reduces motor performance by generating repeated noise and vibration. The suggested system controls the speed of an 8/6 pole SRM using a metaheuristic Grey Wolf Optimization Algorithm (GWO), Proportional Integral (PI) controller, and a (n+1) Semiconductor (n+1) Diode power conversion. This article's goal is to increase the proposed Switched Reluctance Motor's output cogging torque. GWO algorithm has been chosen as a promising strategy when compared to other algorithms because of its generality, decreased complexity, stability, and accuracy. MATLAB/Simulink was used to create the simulation tool.

Abstract: This paper provides the modeling and control of stator active and reactive power for doubly fed induction generator (DFIG) under wind turbine systems using a direct power control (DPC) is applied to the grid side converter (GSC), also the rotor side converter (RSC) of the DFIG is controlling with the field control (FOC) to realize the decoupling control of the active and reactive power. For tuning the PI controllers is a tedious work and it is difficult to tune the PI gains optimally due to the nonlinearity and the high complexity of the system. This paper presents an approach to use the particle swarm optimization algorithm to design the optimal PI controllers for the rotor side converter (RSC) of the DFIG. Based on the simulation results, the PSO-PI provides lower value for the criteria and better response compared with the PI conventional.

Abstract: This paper presents a modified hybrid Controller based on instantaneous power-fuzzy controller (IPFLC) for a shunt active power filter (SAPF). The current produced by the AC source is polluted by harmonics injected by the non-linear loads. The supply system requires filtering by suppressing harmonic currents to improve power quality at interface bus. The filtering system consists of an LC filter and a SAPF. The proposed IPFL Controller for the SAPF is based on a combination of the p-q instantaneous power and the fuzzy logic strategy. In this part, two cases are studied, first the active filter is connected only to a capacitor by its dc side, and second case where the active filter is connected to a photovoltaic source or to a battery. The effectiveness, robustness and the dynamic speed of the proposed controller is validated and assessed using dynamic digital simulation. Digital Simulation results validated also the effectiveness of the active filter scheme with modified controller in reducing the source current THD from 25.87% to 0.83% which largely meets the standards of IEEE STD and International Electro-technical Commission (IEC). Digital Simulation and validation used MATLAB-SIMULINK Software Environment.

Abstract: This study addresses the effective mitigation of power quality disturbance such as unbalanced voltage, voltage fluctuation, voltage variation of secondary distribution network using dynamic voltage restorer (DVR). To make distribution system operate at its best performance and minimum loss, DVR is employed. The proposed system is designed using MATLAB/Simulink in Sim Power System tool box. Considering, nevertheless, that standard acceptable performance implies correct voltage profile, minimum loss, no phase shift for voltage and current, absence of overloading of transformers and electrical wires, and acceptable frequency deviation. The new setup of DVR has been put forward using dq0 controller and proportional integral (PI) controller method to improve voltage profile, correct unbalance voltage and enhance power quality problems in secondary distribution network. The simulation results attest to the ability of the proposed DVR configuration in mitigating the power quality problems in secondary distribution network.

Abstract: Static Var Compensator (SVC) is one of FACTS devices which is used in power systems in order to have a better voltage quality. The fluctuations of voltage and current of the grid connected to electric arc furnace causes power quality problems in the network. SVC, as a fast reactive power control equipment, plays an important role in improving the voltage profile and the transient dynamics of the system arising from the nature of the arc. In this paper the effect of implementing SVC in Mobarakeh Steel Company, for mitigating the voltage transient of power system which is connected to an electric arc furnace, is studied. Then the coefficients of the SVC PI controller are optimized using genetic algorithm and the simulation results are presented.

Abstract: The paper proposes a comparative analysis of brushless DC (BLDC) motor based photovoltaic (PV) water pumping system with two different controllers namely the proportional-integral (PI) and the fuzzy. The controllers are designed such that the maximum power is extracted from the PV source with the incremental conductance (INC) algorithm. The controlled output is given to the boost converter, which acts as the maximum power point tracker (MPPT). It is followed by the three-phase inverter supplying the BLDC drive system. The constant speed operation is achieved via the spacevector pulsewidth modulation (SVPWM) technique in order to obtain constant throughput from the centrifugal pump. The performance of the system is analyzedwithMatLab/Simulink.It is shown that the fuzzy control provides better response then the PI control.

Abstract: Space vector pulse width modulation (SVPWM) technique is an advanced computation-intensive PWM method. It is the best among all PWM techniques for three-phase induction motor (TIM) drive applications because of its superior performance characteristics. In this paper, the use of artificial neural network (ANN) based SVPWM technique avoids the computational complex used in conventional SVM implementation. An ANN scheme structure is suggested to identify and approximate the conventional SVPWM for decrease the computational problem. Moreover, proportional-integral (PI) controller tuning is achieved using a particle swarm optimization (PSO) algorithm to improve the TIM speed controller’s response performance. By designing an appropriate PSO algorithm, kp and ki of the PI speed controller parameters are tuned for TIM to attain the best parameter values.

Abstract: This work presents a hardware implementation of a simple microprocessor; then uses this microprocessor to design a PI controller for PMSM (Permanent Magnet Synchronous Motor) drives. In this paper, firstly, the mathematical model of PMSM drives is illustrated. Secondly, the architecture of a simple microprocessor based on RTL (Register Transfer Level) method is proposed and the VHDL (Very high speed IC Hardware Description Language) is adopted to describe the behavior of the simple microprocessor. Thirdly, a machine code of PI controller based on the proposed simple microprocessor is designed. Finally, a co-simulation by Simulink/ModelSim is applied and verified the performance of the microprocessor-based PI controller.

Abstract: This paper presents a design and implementation of Brushless DC (BLDC) motor speed control based on the TMS320F28335 DSP board interfacing to MATLAB/SIMULINK. To obtain the optimal tracking and regulating responses, the PI controller is conducted and designed by pole placement technique. With Back EMF detection, the proposed system is considered as a class of sensorless control. This scheme leads to the speed adjustment of the BLDC motor by PWM. This experiment aims to examine the effectiveness of BLDC motor by testing the BLDC motor of 100 watt. It was found that the speed response of BLDC motor can be regulated at the operating speed of 700 rpm and 1400 rpm at no load and full load conditions.