STUDY CASE ON SIMULATION AN ACTIVE FILTER BASED ON LOAD DC MOTOR

Nowadays power system facing serious problem with power quality in terms of power factor and harmonics due to increasingly number of nonlinear load. This paper will discuss about the effecting of dc motor by using an active filter on the power system. The simulation had been done by using MATLAB/ Simulink. The Voltage source shunt active filter (VSAF) has been used in this simulation with the common DC bus. The p-q theorem will be used to control the PWM switching of the active filter. Simulation result shows that by using a Series DC motor as load on active filter the line current will compensate and reduce the THD of the line current

Speed performance of space vector pulse width modulation direct torque for five leg inverter served dual three-phase induction motor

Independent control of multi-machine with singleconverter systems is the motivation of this research study. As in the previous literature review, there is no report regarding speed control applying space vector pulse width modulation direct torque control (SVPWM-DTC) method for dual three-phase induction motor (IM) fed by a five leg inverter (FLI). Therefore, in this paper, a new and simple control method based on SVPWM-DTC for dual three-phase induction motors with only one drive of five-leg voltage source inverter is investigated. The method effectively allows independent control of two three-phase IMs. Simulations of different speed commands and variation of load condition tests have been performed. Future work is to do comparative study between vector controls (VC) versus DTC methods to the FLI performance

Road Vehicle Following System With Adaptive Controller Gain Using Model Reference Adaptive Control Method Lyapunov Approaches

In order to maintain stability and satisfy operating constraints, the control system on the following vehicle needs information about the motion of preceding vehicle. A one-vehicle look-ahead control strategy is proposed and will be investigated for this operation. A mathematical model for this control strategy is obtained and simulated. This paper describes the process of designing an adaptive controller gain for a road vehicle following system using two Lyapunov approach. One approaches utilizes the perfect modelling while the other does not. This is done through simulations and comparisons and is further discussed to find the effectiveness of the two Lyapunov approaches

Speed sensorless control for PMSM drives using Extended Kalman Filter

In this paper, Sensorless Permanent Magnet Synchronous Motor (PMSM) using Extended Kalman Filter (EKF) is presented. The previous PMSM drive uses a sensor to measure the motor’s speed. Then the idea is to replace the sensor by using sensorless drives based on the observer. For the conventional observer, it’s only good for low current and low-speed applications. Moreover, it is hard to detect the phase voltage due to the non-existence of neutral wire. Therefore, this project proposes sensorless control using an EKF. This method provides an optional estimation algorithm for the non-linear system that can produce a fast and accurate estimation of state variables. The accurate estimation will reduce the noise and ripple of the system. Additionally, the EKF do not require the information of mechanical parameters and the initial position of the rotor, making the construction is easy and simple. In this paper, the fundamental of the EKF algorithm is explained and the simulation results for different speeds and loads are presented. The noise reduction test is also conducted to measure the flux current with and without the filter. The simulation study is achieved using MATLAB/Simulink to verify the effectiveness of the proposed method. The results of the simulation show that the sensorless PMSM drives using EKF have lower overshoot and faster rise time during start-up conditions and have lower undershoot during the loaded condition. It also can be concluded that the proposed sensorless PMSM drive using EKF has good speed control accuracy and can reduce the current noise

Investigation Of Different Rules Size FLSC Performance Applied To Induction Motor Drive

Fuzzy Logic Controller (FLC) has been widely used in speed controller due to its superior performance results. It is suitable when the system is difficult to model mathematically due to its nonlinearity and complexity. There are three common number of rules design which are commonly used in FLSC known as 49, 25 and 9 rules. However, the majority of the previous research report mainly focused on the dedicated rules size design either 49, 25 or 9 rules for the optimum performance. There is lack of performance comparison between 49, 25 and 9 rules size. Thus, it is difficult to understand how the rules size affects the motor performance. This research tries to fill up the gap by comparing the controller performance using the same platform. The fuzzy logic speed controllers (FLSC) with a different type of rules base are applied to the induction motor drive system. The FLSC with 49, 25 and 9 rules are investigated through MATLAB/SIMULINK and performance comparisons are made covering a wide speed range operations and load disturbance. The simulation results are evaluated based on the rise time

High frequency signal injection method for sensorless permanent magnet synchronous motor drives

The objective of this project is to design a high frequency signal injection method for sensorless control of permanent magnet synchronous motor (PMSM) drives. Generally, the PMSM drives control requires the appearance of speed and positon sensor to measure the motor speed hence to feedback the information for variable speed drives operation. The usage of the sensor will increase the size, cost, extra hardwire and feedback devices. Therefore, there is motivation to eliminate this type of sensor by injecting high frequency signal and utilizing the electrical parameter from the motor so that the speed and positon of rotor can be estimated. The proposed position and speed sensorless control method using high frequency signal injection together with all the power electronic circuit are modelled using Simulink. PMSM sensorless driveis simulated and the results are analyzed in terms of speed, torque and stator current response without load disturbance but under the specification of varying speed, forward to reverse operation, reverse to forward operation and step change in reference speed. The results show that the signal injection method performs well during start-up and low speed operation

Experimental Simplified Rule Of Self Tuning Fuzzy Logic-Model Reference Adaptive Speed Controller For Induction Motor Drive

Fuzzy logic controller (FLC) has shown excellent performance in dealing with the non-linearity and complex dynamic model of the induction motor. However, a conventional constant parameter FLC (CPFL) will not be able to provide-good coverage performance for a wide speed range operation with a single tuning parameter. Therefore, this paper proposed a self tuning mechanism FLC approach by model reference adaptive controller (ST-MRAC) to continuously allow to adjust the parameters. Due to real time hardware application, the dominant rules selection method for simplified rules has been implemented as part of the reducing computational burden. Experiment results validate a good performance of the ST-MRAC compared to the CPFL for the speed performance in terms of the wide range of operations and disturbance showed remarkable performance

Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives

There is lack of performance comparison investigation between 49,25 and 9 rules size speed controller of Induction Motor (IM) drives of the rules size toward the motor performance. Furthermore, no study was conducted based on the computation burden time affects by the rules experimentally fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time.MATLAB/SIMULINK and dSPACE DSl104 controller platform are used for the analysis. Variation in performance with the shape and number of membership functions.Based on the experimental results,it can be concluded that,higher number of rules increase the Computational Time (CT), hence bigger sampling time is required which will There is lack of performance comparison investigation between 49,25 and 9 rules size speed controller of Induction Motor (IM) drives.Thus,it is difficult to understand the effect of the rules size toward the motor performance.Furthermore, o study was conducted based on the computation burden time affects by the rules experimentally.This paper compares the fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time. MATLAB/SIMULINK and dSPACE DSl104 controller platform are used for the analysis.Variation in performance with different rule size may occur due to the shape and number of membership functions.Based on the experimental results,it can be concluded that,higher number of rules increase the Computational Time (CT),hence bigger sampling time is required which will affect the performance.There is lack of performance comparison investigation between 49,25 and 9 rules sizefor the. Thus, it is difficult to understand the effect of the rules size toward the motor performance.Furthermore,no study was conducted based.This paper compares the fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time. MATLAB/SIMULINK and dSPACE DSl104 controller platform different rule size may occur due to the shape and number of membership functions.Based on the experimental results, it can be concluded that, higher number of rules increase the Computational Time (CT),hence bigger computational time (CT)

Sliding mode control with observer for permanent magnet synchronous machine drives

This paper aims to develop the sliding mode control (SMC) scheme in sensorless permanent magnet synchronous machine (PMSM) drives to replace conventional proportional integral (PI) speed control. The SMC is formulated based on the integral sliding surface of the speed error. And the error is corrected based on the concept of Lyapunov stability. The SMC is designed with the load torque observer so that the disturbance can be estimated as feedback to the controller. The vector control technique which is also known as field-oriented control (FOC) is also used to split the stator current into the magnetic field generating part which is the direct axis and the torque generating part which is the quadrature axis. This can be done by using Park and Clarke transformations. The performance of the proposed SMC is tested under changes in load-torque and without load for different speed commands. The results prove that the SMC produces robust performances under variations of speeds and load disturbances. The effectiveness of the proposed method is verified and simulated by using MATLAB/SIMULINK software

Speed and position estimator of for sensorless PMSM drives using adaptive controller

Nowadays, the elimination of the speed sensor in Permanent Magnet Synchronous Machine (PMSM) is greatly recommended to increase efficiency and reduce the cost of the drives. This paper proposes a simple estimator for speed and rotor position of PMSM drives using adaptive controller. The novelties of the proposed method are the simple estimator equations and the absence of the voltage probe which depend on direct and quadrature reference current only. The simplified mathematical model of the PMSM is formulated by using V-I model, based on adaptive control. Then, the speed estimation error of the voltage and current model based are analyzed. Thus, an adaptation mechanism model is established to cancel the error of the measured and estimated d-q currents. Since the output of the estimator is the position feedback, the performances of speed responses are presented. The hardware implementation of proposed sensorless drives is realized via dSPACE DS11103 panel. dSPACE Real Time Implementation (RTI) is the linkage between software and hardware set-up. It automatically processes the MATLAB Simulink model into dSPACE DS11103 processor. The experimental-hardware results demonstrate that the speed and position estimator of the proposed method is able to control the PMSM drives for forward and reverse of speed command, acceleration, deceleration and robustness to load disturbanc