Real-time induction motor velocity controller applying SOSM super-twisting combined with state-feedback linearization

Morfin, O. A.; Aguilar, B.; Ornelas‐Tellez, Fernando; Ruíz-Cruz, Riemann; Valderrabano‐Gonzalez, Antonio; Castaneda, Carlos E.

doi:10.1109/ropec.2017.8261593

Cited by 1 publication

(1 citation statement)

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“…In recent papers [1,2] we have developed correctors for frequency control in hydroelectric power plants; due to expenditure, fragility of mechanical speed sensors and the difficulty to install sensors in many applications. These recent years many techniques have been developed were to obtain a high estimate of the states and parameters in order to obtain satisfactory dynamic performances [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The aim of this article's is to suggest an innovative controller design to monitor speed of hydro turbine under the stochastic and load disturbances.…”

Section: Introductionmentioning

confidence: 99%

Application of Higher Order Sliding Mode Observer and Super Twisting Observer based Super Twisting Control in Hydroelectric power plants

Aurelien¹,

Herve²,

Leandre³

2019

IJRTE

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Speed control of hydro Turbine is an important issue and a shorter settling time is desired. In case of operation of drives with speed sensors, the performance of the drive is not satisfactory. To get satisfactory performance, a sensorless speed control system for hydro Turbine driving a synchronous generator in the hydroelectric power plants is developed. This work, we apply the approach of two methods of regulation: Super Twisting Control (STC) based on super-twisting observer (STO) and Super Twisting Control (STC) based on Higher Order Sliding Mode Observer (HOSMO). Simulation model in the presence of stochastic disturbance has been established in Matlab -Simulink. Simulation results demonstrate and validate the productiveness and performances of the proposed control method.

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