The Effect of Motor Parameters on the Induction Motor Speed Sensorless Control System using Luenberger Observer

The sensorless control system is a control system without a controlled variable sensor.  The controlled variable is estimated using an observer. In this investigation, the sensorless control system is used to control induction motor speed.  The observer that is used is the Luenberger observer.  One of the drawbacks of the sensorless control system is precision motor parameter values. In this research, the effect of induction motor parameters in a speed sensorless control system, i.e. resistance and inductance motor, will be investigated.  The differences in induction motor parameters between the controller and the actual value affect the system response. The value differences of Rr and Rs that can be applied are a maximum of 50%. However, the small differences in the inductance value greatly affect the system response. To get a good response, the value differences of Ls and Lr are between -5% to +5%, while the difference in the value of Lm is between -3% to +3%

Stator Flux Oriented Control of Three-Phase Induction Motor with Improved Decoupling Scheme

This paper proposes an improved decoupling scheme of stator flux-oriented control for three-phase induction motor. The simulation software used in this paper is MATLAB Simulink®. The result of the simulation indicates that this stator flux-oriented control can control the speed of the rotor angle and stator magnetization current successfully. The angular velocity of 120 rad/s achieved by settling time 2 seconds in critically-damped response and steady-state error 0.083%. The controller can overcome the external disturbance in the form of load torque of 5 Nm which has been simulated in this paper. The proposed stator voltage decoupling scheme which is used in this simulation is correct and become one of success factor of this control method

Sensorless PMSM Control using Fifth Order EKF in Electric Vehicle Application

This paper is intended to design a controller and an observer of a sensorless PMSM (permanent magnet synchronous motor) in electric vehicle application. The controller uses the field orientation control (FOC) method and the observer type is the fifth order extended Kalman filter (EKF). The designed controller and observer are tested by varying the elevation angle of the route that is several times abruptly changed. The simulation result shows that the designed controller and observer can respond to the elevation angles given

Input Power Measurement System for Driving Motor in Testing Low-Speed Generator

Rapid technological advances are affecting the greater use of electrical energy. One of the devices that can generate electrical energy is a generator. Testing the characteristics of the generator required a drive motor to rotate the generator shaft. This research aims to create a three-phase input power measurement system for driving a motor. The method of measuring input power is by measuring the current and voltage of each phase. The power is obtained from the multiplication between current and voltage. The system consists of current sensors, voltage sensors, a signal conditioning circuit, and an Arduino Mega microcontroller for data processing. The system is equipped with a graphical user interface, data storage, and application. The generator input power measurement system has been created and tested. The measurement system has successfully measured the input power of the generator's driving motor, which in real-time is displayed on the trend graph via the graphical user interface on the laptop. The input power measurement data on the three-phase generator and the time data have been successfully stored inside the micro-SD. The average error of the voltage reading is 2% compared to the measurement of the reference voltmeter. The current reading error was 2% compared to the reference meter ampere measurement