scholarly journals Double extractor induction motor: Variational calculation using the Hamilton- Jacobi-Bellman formalism

2020 ◽  
Vol 19 (3) ◽  
pp. 97-102
Author(s):  
Fernando Mesa ◽  
Carlos A. Ramírez ◽  
José José Barba-Ortega
Keyword(s):  
Optimal Control ◽  
Induction Motor ◽  
Variational Calculation ◽  
Variational Model ◽  
State Variables ◽  
Motor Speed ◽  
Reduced Order ◽  
Expensive Function ◽  
Hamilton Jacobi Bellman ◽  
Rotor Flow

This contribution presents optimal control over a double extractor induction motor using formalism through variational model. The criterion is subject to non-stationary equations of a reduced order (Dynamics equations of a reduced order model (DSIM)). As is well know, in this model the state variables are the rotor flow and motor speed in a circuit mechanical process. For non-stationary and stationary states, based on the theory of optimal control, this limit provides a high expensive function given as a weighted contribution of a DSIM theory. To order to acquire a lowest energy rotor flow path, the idea is to minimize the function to a dynamic of two equations of the motor speed and rotor flow. This problem is solved using with the Hamilton-Jacobi-Bellman equation and a time dependent solution for the rotor flow is determined analytically.

Variable Speed Vector Control for Induction Motor of Electric Vehicle

2014 ◽  
Vol 699 ◽  
pp. 759-764
Author(s):  
Amilia Emil Hasan ◽  
Haryani Hassan ◽  
Ismadi Bugis
Keyword(s):  
Embedded System ◽  
Vector Control ◽  
Induction Motor ◽  
Control Method ◽  
Torque Ripple ◽  
Electromagnetic Torque ◽  
Motor Speed ◽  
Speed Controller ◽  
Speed Performance ◽  
Constant Output

This paper presents the speed performance of an induction motor by using a vector control. The control scheme used is an indirect vector control for define speed command. The main focus of this research is to observe on the dynamic speed performance of the induction motor when the command speed is given to the motor. In this study, the system of indirect vector control will be built by using Matlab Simulink. In fact, the expression of exciting flux linkage and electromagnetic torque are used to create a simple embedded system which to find out the effects of flux weakening in motor while, the gain of the speed controller is 100. The result shows that the vector control method will cause immediate the motor speed response with a small electromagnetic torque ripple. Furthermore, the output mechanical torque starts to decrease when the motor speed above the base speed to maintain a constant output power operation. This paper contributes a new algorithm to analysis the system when the speed motor is higher than a base speed.

scholarly journals State Estimation with Reduced-Order Observer and Adaptive-LQR Control of Time Varying Linear System

2020 ◽  
Vol 26 (2) ◽  
pp. 24-31
Author(s):  
Omer Aydogdu ◽  
Mehmet Latif Levent
Keyword(s):  
Optimal Control ◽  
Linear System ◽  
State Estimation ◽  
Servo System ◽  
Variable Load ◽  
Time Varying ◽  
Load Effect ◽  
Reduced Order ◽  
Lqr Control ◽  
Reduced Order Observer

In this study, a new controller design was created to increase the control performance of a variable loaded time varying linear system. For this purpose, a state estimation with reduced order observer and adaptive-LQR (Linear–Quadratic Regulator) control structure was offered. Initially, to estimate the states of the system, a reduced-order observer was designed and used with LQR control method that is one of the optimal control techniques in the servo system with initial load. Subsequently, a Lyapunov-based adaptation mechanism was added to the LQR control to provide optimal control for varying loads as a new approach in design. Thus, it was aimed to eliminate the variable load effects and to increase the stability of the system. In order to demonstrate the effectiveness of the proposed method, a variable loaded rotary servo system was modelled as a time-varying linear system and used in simulations in Matlab-Simulink environment. Based on the simulation results and performance measurements, it was observed that the proposed method increases the system performance and stability by minimizing variable load effect.

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