Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

Silva‐Ortigoza, Ramón; Hernandez-Marquez, Eduardo; Roldán-Caballero, Alfredo; Tavera-Mosqueda, Salvador; García-Sánchez, José Rafael; Hernández-Guzmán, Victor Manuel; Silva-Ortigoza, Gilberto

doi:10.1109/access.2021.3112575

Cited by 59 publications

(50 citation statements)

References 76 publications

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“…The control target is to design of a robust controller that provides robust stability and performance, which corresponds to the upper bound of the system singular value [36]. The SSV framework formulated in (24) guarantees the robust stability and performance of the given dynamic system. The µ ∆ (M ) can be defined as:…”

Section: Modeling Of Uncertaintymentioning

confidence: 99%

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<inline-formula><tex-math id="M1">$ \mu $</tex-math></inline-formula> and <inline-formula><tex-math id="M2">$ H_\infty $</tex-math></inline-formula> optimization control based on optimal oxygen excess ratio for the Proton Exchange Membrane Fuel Cell (PEMFC)

Nezhad¹,

Bevrani²

2023

JIMO

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<p style='text-indent:20px;'>The fuel cell (FC) is a new technology for large-scale power generation. Providing of fast and sufficient air concentration in the FC cathode is a key to prevent the oxygen starvation and extend the life cycle of the FC. The proton exchange membrane fuel cell (PEMFC) parameter variations and output current disturbances can significantly influence on the airflow subsystem performance. For this purpose, this paper addresses the robust airflow control synthesis of the PEMFC based on the <inline-formula><tex-math id="M3">\begin{document}$ \mu $\end{document}</tex-math></inline-formula> and <inline-formula><tex-math id="M4">\begin{document}$ H_\infty $\end{document}</tex-math></inline-formula> control techniques. The presented advanced controllers are designed to regulate the oxygen concentration in the FC cathode on the desired value. Such robust controllers are tuned to guarantee PEMFC performance against parameter variations and output current disturbances. Then, the obtained results are compared with the optimal PID controller tuned by the well-known internal model control (IMC) method. Simulation results show that in comparison of the IMC-based PID controller, the applied robust control methodologies are more effective. The designed <inline-formula><tex-math id="M5">\begin{document}$ \mu $\end{document}</tex-math></inline-formula> and <inline-formula><tex-math id="M6">\begin{document}$ H_\infty $\end{document}</tex-math></inline-formula> controllers efficiently provide the required airflow of the PEMFC on the desired value, and avoid the oxygen starvation. Furthermore, due to the structured type of uncertainties, the <inline-formula><tex-math id="M7">\begin{document}$ \mu $\end{document}</tex-math></inline-formula> controller keeps the airflow on the desired value quite better than the <inline-formula><tex-math id="M8">\begin{document}$ H_\infty $\end{document}</tex-math></inline-formula> controller.</p>

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Section: Modeling Of Uncertaintymentioning

confidence: 99%

“…The simulation results are compared with sFF and dFF/PI controllers. In [24], the linear quadratic Gaussian (LQG) algorithm based on observer feedback is used for centralized control of the airflow in a PEMFC system. The model-predictive controller (MPC) with the real-time neural network identifier is also presented to enhance the system robustness.…”

mentioning

confidence: 99%

<inline-formula><tex-math id="M1">$ \mu $</tex-math></inline-formula> and <inline-formula><tex-math id="M2">$ H_\infty $</tex-math></inline-formula> optimization control based on optimal oxygen excess ratio for the Proton Exchange Membrane Fuel Cell (PEMFC)

Nezhad¹,

Bevrani²

2023

JIMO

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“…The former adjusts the gain of the position control system by its own controller to change the overall stiffness of the arm to adapt to the stiffness of the external environment [3]. For example, Ramon et al [4] designed a passive control system and proposed a sensor-less control method based on the accurate tracking error dynamic passive output feedback (ETEDPOF) method for the angular velocity trajectory tracking of the "full-bridge Buck inverter-DC motor" system. Aguilar et al [5] proposed a Liapunov-based construction method for output feedback quenching of continuous regenerative DC-DC buck power converters and experimentally verified the anti-winding property and the efficiency of the "∑-∆" modulator of this scheme.…”

Section: Introductionmentioning

confidence: 99%

A Review of End-Effector Research Based on Compliance Control

Dai

Xiang

et al. 2022

Machines

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The end-effector is a key device for direct contact and operation between the operator and the workpiece, and its mechanical structure will directly affect the quality of the machine and expand its application. The theoretical research and technical implementation of the end-effector for compliance control are facing a lot of urgent challenges to be solved, therefore, the research results of active compliance control of robot end-effectors have a very broad application prospect. This paper describes the design and research results of different end-effectors under impedance-based control, hybrid force/position control, and intelligent flexible control methods, respectively. Under each control method, the structural characteristics and the optimized control scheme under different drives are introduced. Finally, key techniques for achieving compliance control are derived by summarizing, which broadens the engineering applications and provides methods and ideas for future research.

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“…Among them, the ground vehicle achieves unmanned reconstruction and docking; the requirements for the structure of the control system and the hardware platform are as simple as possible; and the locking mechanism is connected to the active mechanism in the complex conditions [ 31 ]. In references [ 32 , 33 , 34 , 35 , 36 ], nonlinear problems such as space electromagnetic docking are studied. Feedback linearization and internal and external loop control strategies are applied to make the docking process smoother.…”

Section: Introductionmentioning

confidence: 99%

A Docking Mechanism Based on a Stewart Platform and Its Tracking Control Based on Information Fusion Algorithm

Zhan

Niu

Zhang

et al. 2022

Sensors

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Aiming at the problem of unmanned reconfiguration and docking of ground vehicles under complex working conditions, we designed a piece of docking equipment composed of an active mechanism based on a six-degree-of-freedom platform and a locking mechanism with multi-sensors. Through the proposed control method based on laser and image sensor information fusion calculation, the six-dimensional posture information of the mechanism during the docking process is captured in real time so as to achieve high-precision docking. Finally, the effectiveness of the method and the feasibility of the 6-DOF platform are verified by the established model. The results show that the mechanism can meet the requirements of smooth docking of ground unmanned vehicles.

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Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

Cited by 59 publications

References 76 publications

<inline-formula><tex-math id="M1">$ \mu $</tex-math></inline-formula> and <inline-formula><tex-math id="M2">$ H_\infty $</tex-math></inline-formula> optimization control based on optimal oxygen excess ratio for the Proton Exchange Membrane Fuel Cell (PEMFC)

<inline-formula><tex-math id="M1">$ \mu $</tex-math></inline-formula> and <inline-formula><tex-math id="M2">$ H_\infty $</tex-math></inline-formula> optimization control based on optimal oxygen excess ratio for the Proton Exchange Membrane Fuel Cell (PEMFC)

A Review of End-Effector Research Based on Compliance Control

A Docking Mechanism Based on a Stewart Platform and Its Tracking Control Based on Information Fusion Algorithm

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