A Novel Information Measure for Adaptive Controllers in Swarm Systems

2009 ◽  
Author(s):  
Paolo Di Prodi ◽  
Bernd Porr ◽  
Florentin Worgotter
Keyword(s):  
Information Measure ◽  
Adaptive Controllers

ON WEIGHTED GENERALIZED RESIDUAL INFORMATION MEASURE

2015 ◽  
Vol 4 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Ashok Kumar ◽  
H C Taneja ◽  
Ashok K Chitkara ◽  
Vikas Kumar
Keyword(s):  
Information Measure

Adaptive controllers for grid-connected DC microgrids

2021 ◽  
Vol 130 ◽  
pp. 106917
Author(s):  
Walid Hatahet ◽  
Mostafa I. Marei ◽  
Mohamed Mokhtar
Keyword(s):  
Adaptive Controllers ◽  
Dc Microgrids

scholarly journals An Intelligent Adaptive Neural Network Controller for a Direct Torque Controlled eCAR Propulsion System

2021 ◽  
Vol 12 (1) ◽  
pp. 44
Author(s):  
Gururaj Banda ◽  
Sri Gowri Kolli
Keyword(s):  
Neural Network ◽  
Pulse Width Modulation ◽  
Simulation Software ◽  
Propulsion System ◽  
Torque Control ◽  
Matlab Simulation ◽  
Time Data ◽  
Adaptive Neural Network ◽  
Adaptive Controllers ◽  
Neural Network Controller

This article deals with an intelligent adaptive neural network (ANN) controller for a direct torque controlled (DTC) electric vehicle (EV) propulsion system. With the realization of artificial intelligence (AI) conferred adaptive controllers, the torque control of an electric car (eCAR) propulsion motor can be achieved by estimating the stator reference flux voltage used to synthesize the space vector pulse width modulation (SVPWM) for a DTC scheme. The proposed ANN tool optimizes the parameters of a proportional integral (PI) controller with real-time data and offers splendid dynamic stability. The response of an ANN controller is examined over standard drive cycles to validate the performance of an eCAR in terms of drive range and energy efficiency using MATLAB simulation software.

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