This paper presents a comparative study between the commonly used switches (IGBT, MOSFET, SiC and GaN) for power inverters of electric vehicles. A 400 V, three-phase inverter system simulation test is implemented usin...
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The multidimensional signed Friedkin-Johnsen (SFJ) model introduced in this paper describes opinion dynamics on a signed network in which the agents hold opinions on multiple interconnected topics and are allowed to b...
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ISBN:
(数字)9798350316339
ISBN:
(纸本)9798350316346
The multidimensional signed Friedkin-Johnsen (SFJ) model introduced in this paper describes opinion dynamics on a signed network in which the agents hold opinions on multiple interconnected topics and are allowed to be stubborn. In the paper, we establish sufficient conditions for the stability of the multidimensional SFJ model, and analyze convergence to consensus in concatenated instances of this model.
This paper presents a full degrees-of-freedom (DOFs) robust control design for a nonlinear quadrotor unmanned aerial vehicle (UAV) operating under bounded disturbances. Second-order sliding modes controllers (SOSMCs) ...
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ISBN:
(数字)9798350373974
ISBN:
(纸本)9798350373981
This paper presents a full degrees-of-freedom (DOFs) robust control design for a nonlinear quadrotor unmanned aerial vehicle (UAV) operating under bounded disturbances. Second-order sliding modes controllers (SOSMCs) are designed so that the quadrotor UAV can follow a 3D trajectory in the presence of model uncertainties, underactuation, as well as external disturbances that may be matched or mismatched, and vanishing or nonvanishing. The stability analysis of the closed-loop system is presented via the Lyapunov method, showing the finite-time convergence of the system trajectories to the sliding surfaces, as well as the finite-time convergence of the quadrotor position and attitude to their reference values. The high-gain adaptation (HGA) method is adopted in the SOSMC technique, called SOSMC-HGA, to alleviate the chattering phenomenon. Simulation studies in different scenarios demonstrate that the SOSMC technique exhibits superior tracking performance and robustness properties compared to concurrent control methods for tracking reference trajectories of quadrotor UAVs. The simulation results confirm that SOSMC-HGA significantly attenuates the chattering phenomenon in control signals and system states, which is an important improvement, as it increases the safety of UAVs and reduces power consumption.
The present paper aims at validating a Model Predictive control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic Systems(HDSs)that explicitly involve continuous dynamics and discrete *** proposed...
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The present paper aims at validating a Model Predictive control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic Systems(HDSs)that explicitly involve continuous dynamics and discrete *** proposed benchmark system is a three-tank process,which is a typical case study of *** MLD-MPC controller is applied to the level control of the considered tank *** study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating *** feature of MLD modeling is very advantageous when an MPC controller synthesis for the HDSs is *** the MLD model of the system is well-posed,then the MPC law synthesis can be developed based on the Mixed Integer Programming(MIP)optimization *** solving this MIP problem,a Branch and Bound(B&B)algorithm is proposed to determine the optimal control ***,a comparative study is carried out to illustrate the effectiveness of the proposed hybrid controller for the HDSs compared to the standard MPC *** results show that the MLD-MPC approach outperforms the standardMPCone that doesn’t consider the hybrid aspect of the *** paper also shows a behavioral test of the MLDMPC controller against disturbances deemed as liquid leaks from the *** results are very satisfactory and show that the tracking error is minimal less than 0.1%in nominal conditions and less than 0.6%in the presence of *** results confirm the success of the MLD-MPC approach for the control of the HDSs.
This paper proposed a GaN-based optocoupler chip with monolithic integration. It differs from commercial photodiode optocouplers consisting of at least two coupled chips. This study monolithically integrated a photodi...
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The main focus of this research is on improving the performance of dynamic systems with actuator non-linearities and time-varying disturbances. To this end, using the concept of finite-time stability, a novel observer...
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In this paper, a new cascade control structure is proposed for model predictive control (MPC) of permanent magnet synchronous machine (PMSM). Based on the d-q model of the PMSM and the field-oriented control principle...
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ISBN:
(数字)9798350364293
ISBN:
(纸本)9798350364309
In this paper, a new cascade control structure is proposed for model predictive control (MPC) of permanent magnet synchronous machine (PMSM). Based on the d-q model of the PMSM and the field-oriented control principle, the cascade structure consists of an inner loop for predictive control of d-q currents and an outer one for predictive control of speed and load torque rejection. To independently control the two currents in the inner loop, a decoupling algorithm was used, followed by MPC controllers that by their ability to manipulate the constraints in the design phase ensure efficient control considering the physical limitations of currents and voltages. Quadratic constraints of electrical signals are approximated by box constraints to reduce computational effort. For speed control and load torque rejection, an MPC controller with a measurable disturbance input is used in the outer loop. Since the load torque is not measurable, an observer was used to estimate it. The proposed predictive control structure for the PMSM was implemented in Matlab-Simulink using MPC controllers from the MPC Toolbox. The Simulink control scheme was used for the performance testing against classical PI controllers.
Model predictive control (MPC) with linear performance measure for hybrid systems requires the solution of a mixed-integer linear program (MILP) at each time instance. A well-known method to solve MILP problems is bra...
Model predictive control (MPC) with linear performance measure for hybrid systems requires the solution of a mixed-integer linear program (MILP) at each time instance. A well-known method to solve MILP problems is branch-and-bound (B&B). To enhance the performance of B&B, start heuristic methods are often used, where they have shown to be useful supplementary tools to find good feasible solutions early in the B&B search tree, hence, reducing the overall effort in B&B to find optimal solutions. In this work, we extend the recently-presented complexity certification framework for B&B-based MILP solvers to also certify computational complexity of the start heuristics that are integrated into B&B. Therefore, the exact worst-case computational complexity of the three considered start heuristics and, consequently, the B&B method when applying each one can be determined offline, which is of significant importance for real-time applications of hybrid MPC. The proposed algorithms are validated by comparing against the corresponding online heuristic-based MILP solvers in numerical experiments.
The expediency of using multi-functional laboratory stands in the process of training specialists in the electromechanical profession is substantiated. The paper contains characteristics of the small-scale model of th...
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The AC-DC Energy Nodes (ADENs) concept offers a transformative approach to modernizing power grids, particularly in the context of supergrids. By centralizing power flows from diverse renewable energy sources, such as...
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ISBN:
(数字)9798350377170
ISBN:
(纸本)9798350377187
The AC-DC Energy Nodes (ADENs) concept offers a transformative approach to modernizing power grids, particularly in the context of supergrids. By centralizing power flows from diverse renewable energy sources, such as offshore wind farms, ADENs enable efficient long-distance power transmission through HVDC technology. This design enhances the balance of supply and demand across regions and countries, significantly improving grid stability and resilience. However, the implementation of ADENs presents substantial technical, regulatory, and cybersecurity challenges. This study delves into these challenges while also addressing the geopolitical complexities of transnational connections, underscoring the critical importance of policy alignment for successful deployment.
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