This paper presents a novel state-feedback robust sliding-mode controller (SFRSMC) based on a mixed approach to enhance the control performance of hydraulic turbine governing systems (HTGS) with complex conduit systems under external load disturbances and control signal uncertainties. A state-space model incorporating the dynamic responses of the HTGS is developed. The SFRSMC is designed using the sliding-mode equivalent control principle, with a disturbance observer to estimate and mitigate unknown disturbances. To balance robustness and optimality, mixed linear matrix inequalities (LMIs) are utilized to determine the critical performance sliding matrix via an auxiliary feedback control method. The effectiveness of the proposed control scheme is validated through time-domain simulations under various operating scenarios, including different parameter variations of the HTGS.
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http://dx.doi.org/10.1038/s41598-024-79493-x | DOI Listing |
Biomimetics (Basel)
November 2024
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
This article introduces a novel perspective on designing a stepping controller for bipedal robots. Typically, designing a state-feedback controller to stabilize a bipedal robot to a periodic orbit of step-to-step (S2S) dynamics based on a reduced-order model (ROM) can achieve stable walking. However, the model discrepancies between the ROM and the full-order dynamic system are often ignored.
View Article and Find Full Text PDFSci Rep
November 2024
Kunming University of Science and Technology, School of Metallurgical and Energy Engineering, Kunming, 650000, PR China.
This paper presents a novel state-feedback robust sliding-mode controller (SFRSMC) based on a mixed approach to enhance the control performance of hydraulic turbine governing systems (HTGS) with complex conduit systems under external load disturbances and control signal uncertainties. A state-space model incorporating the dynamic responses of the HTGS is developed. The SFRSMC is designed using the sliding-mode equivalent control principle, with a disturbance observer to estimate and mitigate unknown disturbances.
View Article and Find Full Text PDFCogn Neurodyn
October 2024
School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, 232001 Anhui People's Republic of China.
Finite-time synchronization is a crucial phenomenon observed in nonlinear complex systems, the settling time in such a dynamic phenomenon is heavily depends on the initial states which may be unaccessible beforehand in the real world. Eliminating the dependence of the settling time on initial states leads to major advantage and convenience in practical applications. This paper is concerned with the fixed-/preassigned-time synchronization of delayed complex-valued neural networks(CVNNs) with discontinuous activations.
View Article and Find Full Text PDFISA Trans
November 2024
School of Science, University of Science and Technology Liaoning, Anshan Liaoning, 114051, China. Electronic address:
The article proposes a novel state-feedback control method for a multiple-input multiple-output (MIMO) nonlinear system with actuator faults and input quantization. The innovation of the design approach lies in the utilization of fuzzy logic systems (FLSs) to approximate the uncertain intermediate virtual control laws, thereby achieving a simplified virtual control design form. Additionally, finite-time control is employed to enhance the system's response speed.
View Article and Find Full Text PDFIEEE Trans Cybern
October 2024
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