Abstract:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence Newcastle University ePrints-eprint.ncl.ac.uk
“…Whereas, the controller gain associated with k and k 0 , k 1 , k 2 , k 3 determined by (14) and (15), respectively, were selected according to the following parameters: k = 100 and ω n, k = 100, ζ k = 1…”
Section: Resultsmentioning
confidence: 99%
“…The auxiliary control coefficients are tuning with a Hurwitz polynomial of first and fourth order as shown in (14) and (15) and the tuning coefficients have the following restrictions: k > 0, 0 < ζ k < 1 and ω n, k > 0…”
Section: Linear Control Designmentioning
confidence: 99%
“…In this work, a fifth‐order mathematical model of the system is considered, but the effectiveness of the proposed controller was verified only by numerical simulation. Additionally, important contributions relating to the connection of the parallel DC/DC buck power converter have been reported in the literature [13, 14].…”
This study deals with the robust velocity controller of a DC motor driven by means of parallel DC/DC buck power converters with equal current distribution, from the perspective of a generalised proportional-integral (GPI)-observers-based active disturbance rejection controller (ADRC). The multivariable system is subject to constant torque load demands and changes in the internal parameters. The linear output feedback controllers actively counteract the exogenous and endogenous disturbances that result from the cascading parallel converter and the DC motor. A rapid prototyping tool is used for synthetising the proposed controller into a field-programmable gate array (FPGA) which is based on Matlab/Simulink and a Xilinx System Generator. The robustness of the proposed ADRC system is analysed. The FPGA-based implementation setup is presented with the purpose of validating the theoretical calculations of the proposed DC motor velocity control.
“…Whereas, the controller gain associated with k and k 0 , k 1 , k 2 , k 3 determined by (14) and (15), respectively, were selected according to the following parameters: k = 100 and ω n, k = 100, ζ k = 1…”
Section: Resultsmentioning
confidence: 99%
“…The auxiliary control coefficients are tuning with a Hurwitz polynomial of first and fourth order as shown in (14) and (15) and the tuning coefficients have the following restrictions: k > 0, 0 < ζ k < 1 and ω n, k > 0…”
Section: Linear Control Designmentioning
confidence: 99%
“…In this work, a fifth‐order mathematical model of the system is considered, but the effectiveness of the proposed controller was verified only by numerical simulation. Additionally, important contributions relating to the connection of the parallel DC/DC buck power converter have been reported in the literature [13, 14].…”
This study deals with the robust velocity controller of a DC motor driven by means of parallel DC/DC buck power converters with equal current distribution, from the perspective of a generalised proportional-integral (GPI)-observers-based active disturbance rejection controller (ADRC). The multivariable system is subject to constant torque load demands and changes in the internal parameters. The linear output feedback controllers actively counteract the exogenous and endogenous disturbances that result from the cascading parallel converter and the DC motor. A rapid prototyping tool is used for synthetising the proposed controller into a field-programmable gate array (FPGA) which is based on Matlab/Simulink and a Xilinx System Generator. The robustness of the proposed ADRC system is analysed. The FPGA-based implementation setup is presented with the purpose of validating the theoretical calculations of the proposed DC motor velocity control.
“…On the other hand, the sliding mode‐based methods are used for the same task in Mehta and Naik 14 and Qi et al 15 However, the main drawback of such approaches is the chattering phenomenon. The predictive control approaches, with the inherent propriety of optimal prediction, can ensure better tracking of the reference as reported in Cavanini et al and Cunha et al 16,17 The controllers based on state feedback are the most used for their simplicity 18‐20 . In another research branch and when the aforementioned controllers results are not satisfactory, the backstepping can be a good alternative.…”
Summary
This paper deals with the stabilization of direct current/direct current (DC/DC) boost converter and the nonlinear phenomena elimination using a constrained backstepping technique. Based on the converter averaged model, the proposed control approach is designed and the input to state stability concept is used to prove the system global stability. Furthermore, the structural stability is proven to show the efficiency of the proposed approach to suppress the nonlinear phenomena exhibited by the converter. The simulation results illustrate the different stability regions of the system as functions of the controller and the system parameters. The bifurcation diagrams are used to show the effectiveness of the proposed approach in terms of nonlinear phenomena suppression in wide regions of the system operating domains.
“…The predictive control approaches, with the inherent propriety of optimal prediction, can ensure better tracking of the reference as reported in [4,7]. The controllers based on state feedback are the most used for their simplicity and reduced cost of implementation [11,20]. When the performances of the aforementioned controllers are not satisfactory, the Backstepping can be a good alternative.…”
This paper deals with the stabilization of DC/DC boost converter and the nonlinear phenomena elimination using a constrained Backstepping technique. Based on the converter averaged model, the pro- posed control approach is designed and the input to state stability concept is used to proof the system global stability. Furthermore, the structural stability is proven to show the efficiency of the proposed approach to suppress the nonlinear phenomena exhibited by the converter. The simulation results illustrate the different regions of stability of the system and the bifurcation diagrams are given to show the effectiveness of the proposed approach in terms of nonlinear phenomena suppression.
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