scholarly journals High‐performance control for a permanent‐magnet linear synchronous generator using state feedback control scheme plus grey wolf optimisation

2020 ◽  
Vol 14 (5) ◽  
pp. 771-780 ◽  
Author(s):  
Xiaodong Sun ◽  
Minkai Wu ◽  
Zebin Yang ◽  
Gang Lei ◽  
Youguang Guo
Keyword(s):  
Feedback Control ◽  
Permanent Magnet ◽  
High Performance ◽  
State Feedback ◽  
Synchronous Generator ◽  
State Feedback Control ◽  
Grey Wolf ◽  
Performance Control ◽  
Control Scheme

scholarly journals Modeling and Nonlinear Control of a Wind Turbine System Based on a Permanent Magnet Synchronous Generator Connected to the Three-phase Network

2018 ◽  
Vol 9 (2) ◽  
pp. 766
Author(s):  
Yasser Boussairi ◽  
Abdelmajid Abouloifa ◽  
Ibtissam Lachkar ◽  
Abdellatif Hamdoun ◽  
Chaouqi Aouadi
Keyword(s):  
Feedback Control ◽  
Nonlinear Control ◽  
Permanent Magnet ◽  
Control Strategy ◽  
State Feedback ◽  
Supply Voltage ◽  
Reference Signal ◽  
Synchronous Generator ◽  
State Feedback Control ◽  
Permanent Magnet Synchronous Generator

<span lang="EN-US">This article presents nonlinear control of wind conversion chain connected to the grid based on a permanent magnet synchronous generator. The control objectives are threefold; i) forcing the generator speed to track a varying reference signal in order to extract the maximum power at different wind speed (MPPT); ii) regulating the rectifier output capacitor voltage; iii) reducing the harmonic and reactive currents injected in the grid. This means that the inverter output current must be sinusoidal and in phase with the AC supply voltage (PFC). To this end, a nonlinear state-feedback control is developed, based on the average nonlinear model of the whole controlled system. This control strategy involves backstepping approach, Lyapunov stability and other tools from theory of linear systems. The proposed state-feedback control strategy is tested by numerical simulation which shows that the developed controller reaches its objectives</span>

A Novel Dual-Loop Control Scheme for Payload Anti-Swing and Trolley Position of Industrial Robotic 3DOF Crane

2015 ◽  
Vol 789-790 ◽  
pp. 658-664 ◽  
Author(s):  
Muhammad Faisal ◽  
Mohsin Jamil ◽  
Usman Rashid ◽  
Syed Omer Gilani ◽  
Yasar Ayaz ◽  
...  
Keyword(s):  
Feedback Control ◽  
State Feedback ◽  
Research Work ◽  
State Feedback Control ◽  
Experimental Results ◽  
Loop Control ◽  
Control Techniques ◽  
Swing Angle ◽  
Suggested Technique ◽  
Control Scheme

In this paper, we propose a novel dual-loop control scheme (DLCS). We did not see such investigation of DLCS in the previous research work. DLCS scheme is a combination of classical PID and advanced state feedback control techniques. The proposed technique is used to control swing angle and trolley position of a 3DOF crane. Extensive simulations have been carried out using MATLAB / Simulink and practically validated on a Quanser 3DOF crane system. Experimental results indicate that the proposed DLCS control scheme improves crane operation by damping the payload oscillations. The scheme also smoothen the trolley motion. Our suggested technique provides better performance in terms of payload oscillations comparing to the classical PID.

scholarly journals Finite-Time Mittag–Leffler Synchronization of Neutral-Type Fractional-Order Neural Networks with Leakage Delay and Time-Varying Delays

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1146
Author(s):  
Călin-Adrian Popa ◽  
Eva Kaslik
Keyword(s):  
Neural Networks ◽  
Feedback Control ◽  
Fractional Order ◽  
Finite Time ◽  
State Feedback ◽  
Neutral Type ◽  
Leakage Delay ◽  
State Feedback Control ◽  
Time Varying ◽  
Control Scheme

This paper studies fractional-order neural networks with neutral-type delay, leakage delay, and time-varying delays. A sufficient condition which ensures the finite-time synchronization of these networks based on a state feedback control scheme is deduced using the generalized Gronwall–Bellman inequality. Then, a different state feedback control scheme is employed to realize the finite-time Mittag–Leffler synchronization of these networks by using the fractional-order extension of the Lyapunov direct method for Mittag–Leffler stability. Two numerical examples illustrate the feasibility and the effectiveness of the deduced sufficient criteria.

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