Design of sliding mode and model reference adaptive control strategies for multivariable tape transport mechanism: a performance comparison

2015 ◽  
Vol 22 (2) ◽  
pp. 419-431 ◽  
Author(s):  
Mohammad Hossein Abbasi ◽  
Hossein Moradian ◽  
Hamed Moradi
Keyword(s):  
Adaptive Control ◽  
Transport Mechanism ◽  
Sliding Mode ◽  
Control Strategies ◽  
Model Reference Adaptive Control ◽  
Performance Comparison ◽  
Tape Transport ◽  
Model Reference ◽  
Model Reference Adaptive ◽  
A Performance

The Model Reference Adaptive Control of the DC Electric Drive System

2014 ◽  
Vol 875-877 ◽  
pp. 2030-2035 ◽  
Author(s):  
Marian Gaiceanu ◽  
Cristian Eni ◽  
Mihaita Coman ◽  
Romeo Paduraru
Keyword(s):  
Adaptive Control ◽  
Reference Model ◽  
Sliding Mode ◽  
Tracking Error ◽  
Model Reference Adaptive Control ◽  
Drive System ◽  
Mode Switching ◽  
Sigmoid Function ◽  
Model Reference ◽  
Model Reference Adaptive

Due to the parametric and structural uncertainty of the DC drive system, an adaptive control method is necessary. Therefore, an original model reference adaptive control (MRAC) for DC drives is proposed in this paper. MRAC ensures on-line adjustment of the control parameters with DC machine parameter variation. The proposed adaptive control structure provides regulating advantages: asymptotic cancellation of the tracking error, fast and smooth evolution towards the origin of the phase plan due to a sliding mode switching k-sigmoid function. The reference model can be a real strictly positive function (the tracking error is also the identification error) as its order is relatively higher than one degree. For this reason, the synthesis of the adaptive control will use a different type of error called augmented or enhanced error. The DC machine with separate excitation is fed at a constant flux. This adaptive control law assures robustness to external perturbations and to unmodelled dynamics.

scholarly journals A PERFORMANCE COMPARISON OF DISCRETE-TIME LEAST SQUARES-BASED ROBUST MODEL REFERENCE ADAPTIVE CONTROL APPROACHES APPLIED ON GRID-SIDE CURRENT CONTROL OF GRID-TIED POWER CONVERTERS BY LCL FILTER

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Paulo Jefferson Dias de Oliveira Evald
Keyword(s):  
Adaptive Control ◽  
Tracking Error ◽  
Model Reference Adaptive Control ◽  
Performance Comparison ◽  
Current Control ◽  
Lcl Filter ◽  
Model Reference ◽  
Robust Model ◽  
Grid Side ◽  
Model Reference Adaptive

In this work, two Robust Model Reference Adaptive Control (RMRAC) for grid-side current control of a static 3-wire converter with LCL filter are implemented and compared. The adaptation law used to adjust gains online is a modified Least Square (LS) algorithm. In both methods there is no need using resonant controllers to reject exogenous disturbance. Thereby, it is presented, step-by-step, how to implement both strategies, pointing out benefits and drawbacks of each technique and comparing their performance to track model reference output and robustness to deal with parametric variation of grid conditions. The performance comparison parameters considered are: THD (Total Harmonics Distortion), mean of absolute tracking error and maximum overshoot. Simulation results are presented to support the discussion.

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