Aportaciones al control no lineal de corriente aplicado a accionamientos de inducción de seis fases

Las maquinas multifásicas (mayor a tres fases) se han vuelto ampliamente reconocidas como alternativas a los típicos esquemas trifásicos en numerosas aplicaciones, principalmente en aquellas en las que se requieren mayor fiabilidad y disponibilidad (funcionamiento en post-falta). Algunos ejemplos de la adopción de esta tecnología apunta por un lado al sector industrial, y por otro a sistemas de tracción eléctrica, entre los que se destacan los vehículos eléctricos. Así mismo, recientemente se ha explorado su uso en aplicaciones de energías renovables entre los que se destaca la generación eólica. Desde el punto de vista del control, las estrategias de control aplicadas a maquinas multifásicas, han evolucionado en los últimos años, desde la extensión de los métodos de control escalar, vectorial y control directo de par, utilizados en las maquinas trifásicas, a métodos más sofisticados, tales como los controles no lineales, como el control deslizante y el control predictivo.CONACYT - Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Potencial de la Energía Eólica en el Paraguay. Nuevas tendencias para la generación eólica

Presentación realizada en el marco del Proyecto: Seminario Internacional sobre Energías Renovables, ENERPY 2019, cuyo objetivo general era compartir con la comunidad científica, académica y la sociedad en general los últimos avances en el área de la ingeniería aplicada a las energías renovables y eficiencia energética.CONACYT - Consejo Nacional de Ciencias y TecnologíaPROCIENCI

Predictive-fixed switching frequency technique for six-phase wind energy conversion systems

This paper presents a speed control with an enhanced predictive current control technique with fixed switching frequency applied to the six-phase wind energy conversion systems. Simulation results show the efficiency of the proposed technique, demonstrating that it is a viable alternative to conventional predictive controllers.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Speed sensorless predictive current control of a five-phase induction machine

In power electronics, multiphase machines have been recently proposed, where most sensorless algorithms applied to electrical drives are represented through a mathematical representation of the physical system which includes the electrical and mechanical parameters of the motor. However, in electrical drive applications, the rotor current cannot be measured, so it must be estimated. This paper deals with the speed sensorless control of five-phase induction machines by using an inner loop of model-based predictive control (MPC). The MPC is obtained from the mathematical model of the machine, using a state-space representation where the two state variables are the stator and rotor currents, respectively. The rotor current is estimated using a reduced order optimal estimator based on a Kalman filter. Simulation results are provided to show the efficiency of the proposed sensorless speed control algorithm.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Speed-sensorless predictive current control for a dual three-phase induction machine using a kalman filter for electrial vehicle applications

For a electrical application involving induction machines, such as the electrical propulsion drive of an electric vehicle, the rotor current cannot be measured, so it must be estimated. This paper describes the rotor current estimation through reduced order estimator known as Kalman filter to apply a sensorless speed control of dual three-phase induction machines by using an inner loop of model-based predictive control. Finally, simulation results are provided to show the efficiency of the proposed sensorless speed control algorithm, thus concluding that the system can work properly without the speed sensor.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

A speed-sensorless predictive current control of multiphase induction machines using a kalman filter for rotor current estimator

In electrical drive applications based on induction machines, such as the propulsion drive of an electric vehicle, the rotor currents cannot be measured, so it needs to be estimated. This paper describes the rotor currents estimation through reduced order estimator known as Kalman filter to apply a speed-sensorless control of dual three-phase induction machines by applying a current inner loop based on the model predictive control. Simulation results are shown to demonstrate the efficiency of the proposed speed-sensorless control technique, thus concluding that the system can work properly without the speed sensor.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Comparative study of non-linear controllers applied to a six-phase induction machine

This paper presents a comparative study of two discrete nonlinear current controllers with fixed switching frequency, one based on the model predictive control and the other to robust discrete-time sliding mode, applied to a six-phase induction machine. The outer speed control is based on the proportional-integral controller. Simulation results are presented to demonstrate the performance of the two current control strategies using the mean squared error, root mean square and total harmonic distortion as figures of merit, thus concluding the advantages and limitations of each current controller at steady and transient states.CONACYT – Consejo Nacional de Ciencia y Tecnologí

Finite-time altitude and attitude tracking of a tri-rotor UAV using modified super-twisting second order sliding mode

This paper presents the problem of robust altitude and attitude trajectory tracking of a tri-rotor Unmanned Aerial Vehicle (UAV) based on a finite-time second order sliding mode control algorithm. The chosen algorithm is a modified super-twisting control with double closed-loop feedback regulation that provides fast finite-time convergence even when the system trajectories are far from the sliding surface, robustness against a wide class of uncertainties and disturbances.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Comparative study of predictive-fixed switching techniques for a cascaded H-bridge two level STATCOM

Finite state model predictive control methods are distinguished by a variable switching frequency which causes large current ripples at low sampling frequency. This paper presents a comparative study of two enhanced predictive current control techniques with fixed switching frequency applied to the three-wire cascaded H-bridge two level converter for active power filter applications. Simulation results are developed to demonstrate the performance of the two proposed predictive control techniques in terms of mean square error, root mean square and total harmonic distortion as figures of merit, thus concluding the advantages and limitations of each technique at transient and steady states.CONACYT – Consejo Nacional de Ciencia y Tecnologí

A Speed-Sensorless Predictive Current Control of Multiphase Induction Machines Using a Kalman Filter for Rotor Current Estimator

En aplicaciones de accionamiento eléctrico basadas en inducción máquinas, como el accionamiento de propulsión de un vehículo eléctrico, las corrientes del rotor no se pueden medir, por lo que debe ser estimado. Este artículo describe la estimación de las corrientes del rotor a través de un estimador de orden reducido conocido como filtro de Kalman para aplicar un control sin sensor de velocidad de inducción trifásica dual máquinas mediante la aplicación de un bucle interno actual basado en el modelo control predictivo. Los resultados de la simulación se muestran para demostrar la eficiencia de la técnica de control sin sensor de velocidad propuesta, concluyendo así que el sistema puede funcionar correctamente sin la sensor de velocidad.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI