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Algebraic Method

The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform

Abbas Shoulaie – 1st expert on this subject based on the ideXlab platform

  • Steady-State Simulation of LCI-Fed Synchronous Motor Drives Through a Computationally Efficient Algebraic Method
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Sobhan Mohamadian, Alberto Tessarolo, Simone Castellan, Abbas Shoulaie

    Abstract:

    Wound-field synchronous motors (WFSMs) fed by load-commutated inverters (LCIs) are widely used for high-power applications in many fields like ship propulsion, oil and gas industry, and pumped-storage hydropower generation. Several design architectures exist for LCI drives, depending on the number of LCIs and their dc-link connection as well as on the number of WFSM phase count. The prediction of LCI drive performance at steady state is important in the design stage, especially in regard to the prediction of the torque pulsations, which can give rise to serious mechanical resonance issues. This paper proposes an Algebraic Method to simulate the steady-state behavior of LCI drives in all their configurations of practical interest. Compared to conventional dynamic simulation approaches based on differential equation solution, the Method is much more computationally efficient and requires a very limited knowledge of system parameters. Its accuracy is experimentally assessed by comparison against measurements taken on a real LCI drive arranged according to various possible schemes. Furthermore, the advantages of the proposed Algebraic Method over the dynamic simulations are highlighted by comparison against the simulation results on a high-power LCI-fed WFSM drive in MATLAB/Simulink environment.

C.-t. Chen – 2nd expert on this subject based on the ideXlab platform

  • Applications of the linear Algebraic Method for control system design
    IEEE Control Systems Magazine, 1990
    Co-Authors: C.-t. Chen

    Abstract:

    It is shown how to apply the linear Algebraic Method to the design of control systems with specific characteristics. The Method is applied to pole-zero assignment with disturbance rejection and to tracking of a reference input. The problem of choosing overall transfer functions is discussed. In general, the examples show that the Method is systematic and general and yields good results.

W. Khefifi – 3rd expert on this subject based on the ideXlab platform

  • A Lie Algebraic Method of motion planning for driftless nonholonomic systems
    Proceedings of the Fifth International Workshop on Robot Motion and Control 2005. RoMoCo '05., 2005
    Co-Authors: Ignacy Duleba, W. Khefifi

    Abstract:

    In this paper a Lie Algebraic Method is proposed to steer driftless nonholonomic systems. It uses the special instance of the generalized Campbell-Baker-Hausdorff-Dynkin formula for driftless nonholonomic systems to establish a mapping between controls and a resulting direction of motion. Then, locally, a motion planning task is to find the inverse of this mapping. Usually, it can be supported by analytic computations.

  • RoMoCo – A Lie Algebraic Method of motion planning for driftless nonholonomic systems
    Proceedings of the Fifth International Workshop on Robot Motion and Control 2005. RoMoCo '05., 2005
    Co-Authors: Ignacy Duleba, W. Khefifi

    Abstract:

    In this paper a Lie Algebraic Method is proposed to steer driftless nonholonomic systems. It uses the special instance of the generalized Campbell-Baker-Hausdorff-Dynkin formula for driftless nonholonomic systems to establish a mapping between controls and a resulting direction of motion. Then, locally, a motion planning task is to find the inverse of this mapping. Usually, it can be supported by analytic computations.