A Fast Learning Neuro Adaptive Control of Buck Converter driven PMDC Motor: Design, Analysis and Validation

Bidirectional Tracking Robust Controls for a DC/DC Buck Converter‐DC Motor System

“…This system, in general, is composed of three stages, namely, a DC/DC Buck converter, a complete bridge inverter, and a DC motor. Unlike the arrangements presented in [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29], such configuration allows the bidirectional driving of the motor shaft. The system average model presented in Figure 1, which was deduced and experimentally validated in [35], is given by…”

“…Another solution was proposed by Nizami et al in [24], where a neuro-adaptive backstepping control for the angular velocity tracking was developed for the aforementioned system. Other interesting works reported in the last months, on tracking control design for the DC/DC Buck-DC motor system, are [25][26][27][28][29]. Additional works where other topologies of DC/DC power converters driven DC motors are [30][31][32] for the Boost converter, [33] for the Buck-Boost converter, and [34] for the Sepic and Cuk converters.…”

DC/DC Boost Converter–Inverter as Driver for a DC Motor: Modeling and Experimental Verification

“…The flat output of a DC motor, according to [15], is given by the angular velocity of the motor shaft ω. After proposing the flat outputs of the DC/DC boost converter-inverter-DC motor average system as F 1 = E and F 2 = ω, the following differential parameterization associated to Equations (21)- (24) is found:…”

“…As can be observed, the average model given by Equations (21)-(24) is now represented by the differential parameterization given by Equations (26)-(31) expressed in terms of variables F 1 and F 2 and their corresponding derivatives with respect to time. Such a representation, compared to Equations (21)- (24), allows the reference trajectories associated with states i, υ, and i a and inputs u 1av and u 2av to be found offline [38]. Thus, when F 1 and F 2 are replaced by E * and ω * in Equations (26)-(31), the reference trajectories are obtained; this is, i * , υ * , i * a , u * 1av , and u * 2av .…”

“…Alexandridis and Konstantopoulos [10] presented a nonlinear PI control that does not require current sensors for solving the regulation task, and the same authors developed a regulation nonlinear control that provides a closed-loop passive system that is robust to load variations [11]. Additional works in which different topologies of DC/DC power converters have been used in combination with a DC motor are the following: [12][13][14][15][16][17][18][19][20][21][22][23][24][25] for the buck converter, [26,27] for the buck-boost converter, and [28] for the SEPIC andĆuk converters. Because of the operation principle of the DC/DC converters, works reported in [7][8][9][10][11][12][13][14][15][16][17][18][19][20][26][27][28] were only focused on driving the motor shaft in an unidirectional fashion for solving both the regulation and tracking problems.…”