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Field Weakening in Flatness-based Torque Control of Saturated Surface-Mounted Permanent Magnet Synchronous Machines

Field Weakening in Flatness-based Torque Control of Saturate...

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IEEE Conference on Control and Applications (CCA)

作者： Faustner, David Kemmetmueller, Wolfgang Kugi, Andreas Vienna Univ Technol Automat & Control Inst A-1040 Vienna Austria

ISBN: (纸本)9781479977871

This paper presents an expansion of a flatnessbased torque control strategy for saturated surface-mounted permanent magnet synchronous machines (PMSMs) to systematically account for the voltage limits of the voltage source inverter in the higher speed range of the machine. Field weakening operation is incorporated in a feedforward manner by solving a constrained nonlinear optimization problem. Different to existing works, magnetic saturation is systematically considered in the controller design to track the reference trajectories. The proposed torque controller exhibits a two-degrees-of freedom control structure with a flatness-based feedforward controller and a time-variant feedback controller for the trajectory error system. The torque controller is formulated in the stator-fixed reference frame and hence does not need any coordinate transformation. Furthermore, the proposed control structure covers the whole maximum torque per ampere (MTPA) and field weakening (FW) region without any switching in between. Implemented on an experimental test bench, an accelerated run-up of the PMSM with approximately four times the rated torque and up to twice the rated speed is performed in all four quadrants of operation to demonstrate the feasibility of the proposed torque controller in the entire operating range including significant magnetic saturation.

关键词： control system synthesis feedforward machine control optimisation permanent magnet machines synchronous machines torque control trajectory control voltage control FW region MTPA PMSM constrained nonlinear optimization problem controller design feedforward manner field weakening region flatness-based feedforward controller flatness-based torque control maximum torque per ampere saturated surface-mounted permanent magnet synchronous machines stator-fixed reference frame time-variant feedback controller trajectory error system two-degrees-of freedom control voltage limits voltage source inverter Couplings Feedforward neural networks Mathematical model Rotors Saturation magnetization Torque Voltage control Permanent magnet synchronous machines Voltage regulation field weakening Torque control voltage limits voltage source inverter Mitochondrial Trifunctional Protein, alpha Subunit torque controller FEEDFORWARD MACHINE TOOL CONTROL trajectory control feedforward neural nets control system synthesis synchronous machines controller design

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Optimal Control Allocation for an ASC with two Azimuth-like Thrusters with limited Panning Range 22

Optimal Control Allocation for an ASC with two Azimuth-like ...

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22nd Mediterranean Conference on Control and Automation (MED)

作者： Oswald, Markus Blaich, Michael Wirtensohn, Stefan Reuter, Johannes Univ Appl Sci Konstanz Fac Elect Engn D-78462 Constance Germany

ISBN: (纸本)9781479959013

This paper presents a method to efficiently solve the control allocation problem of vessels propelled by two azimuth thrusters with limited panning range. The use of rotatable thrusters results in a configuration matrix that, in the context of control allocation, typically leads to a constrained nonlinear optimization problem. It is shown, how this can be transformed into an easy to solve scalar unconstrained problem by using simple geometrical relations. Using a cost criterion from the literature for minimum power consumption, however, leads to discontinuities due to the limited panning angle range of the thrusters. By introducing a parameterized cost function, the discontinuities in the panning motion of the thrusters can be largely avoided.

关键词： costing marine control matrix algebra nonlinear programming optimal control remotely operated vehicles ASC autonomous surface crafts azimuth-like thrusters configuration matrix constrained nonlinear optimization problem cost criterion geometrical relations limited panning angle range minimum power consumption optimal control allocation parameterized cost function rotatable thrusters scalar unconstrained problem vessels Azimuth Force optimization Power demand Propulsion Resource management Vectors

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Statistical Shaping of Interference to Maximize Capacity in Cognitive Random Wireless Networks

Statistical Shaping of Interference to Maximize Capacity in ...

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MILCOM Military Communications Conference

作者： Babaei, Alireza Agrawal, Prathima Jabbari, Bijan Auburn Univ Dept Elect & Comp Engn Auburn AL 36849 USA George Mason Univ Dept Elect & Comp Engn Fairfax VA 22030 USA

ISBN: (纸本)9781424481804

It is known that in a cognitive random wireless network, the aggregate interference from secondary network is not Gaussian. Using Shannon's bound for the capacity of general additive channels, Gaussian interference/noise is the worst case due to its maximum entropy property which leads to minimum capacity. Therefore, it is favorable to have the distribution of interference as far from Gaussian as possible. In this paper, we seek to deviate the statistics of secondary interference from Gaussianity by maximizing its kurtosis while a regulatory constraint is satisfied to keep the interference power below a threshold. For this purpose, we use power control for statistical shaping of interference. Considering a Gaussian and a non-Gaussian interference zone around primary receiver and assigning a fixed power level for the interfering nodes inside each zone, we show that optimum power levels are found by solving a constrained nonlinear optimization problem. The results show that using optimum power levels, the kurtosis increases significantly compared to the no power control case. Moreover, considering a generalized Gaussian model for interference, we show that the capacity of primary link improves dramatically by using the optimum power levels.

关键词： Gaussian distribution Gaussian interference cognitive radio cognitive random wireless networks constrained nonlinear optimization problem interfering nodes maximize capacity optimisation power control radio networks radiofrequency interference statistical

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