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Maximum Torque Per Ampere (MTPA) tracking techniques for the control of Interior Permanent Magnet Synchronous Machines (IPMSMs) and Synchronous Reluctance Machine (SynRMs) drives were introduced in the last decade, with the aim of overcoming the dependence on motor parameter knowledge accuracy. In fact, uncertainty due to identification errors, magnetic saturation or temperature variation results...
Single-phase inverters are connected to the grid at the distribution system level. Because the grid impedance can be large at this level, it is important to consider the effect of the grid impedance on the control performance of the inverter. A PI controller is often adopted for current control in a single-phase inverter. With an increase in the grid impedance, the open loop cut-off frequency decreases,...
The aim of this paper is to present a method for estimation of parametric faults in closed-loop systems. The key technology applied in this paper is coprime factorization of both the dynamic system as well as the feedback controller. Using the Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization, it is shown that a certain matrix transfer function, the fault signature matrix, is an LFT (linear fractional...
In this paper, we propose a method of applying a two-degree-of-freedom (2DOF) control with adaptive filter since such control of an electrodynamic shaker that is not permitted to employ the iteration control method. At first, a mathematical model and an uncertainty weighting are introduced, and a feedback controller is designed using μ-synthesis. 2DOF controller is constituted. Next, an adaptive filter...
This paper presents an L1 adaptive state feedback controller with proportional adaptation law for a class of linear systems with input-gain uncertainties and unmatched nonlinear disturbances. The proportional adaptation law provides an adaptive estimate that is directly proportional to the error between the output of the system and the state predictor. One of the advantages of this new adaptation...
We describe a new method for design of adaptive controls for switching power converters that leverages the information-rich frequency response data obtained using the correlation-based analysis dubbed Digital Network Analyzer Technique. Compared to existing single-frequency based adaptive control methods such as limit-cycle and relay-feedback based autotuning, this method provides a unified approach...
System identification has an important role in control system design, particularly in auto-tuning and adaptive control applications. Recently, it has emerged as a significant research topic in power converter design. For this reason, this paper proposes a new on-line approach to identify the parameters of a dc-dc converter. The proposed method is capable of rapidly detecting and accounting for abrupt...
An adaptive control system is examined where the traditional parameter estimator is replaced by a parameter set estimator which provides a measure of uncertainty of the estimated parameters. It is shown how to construct a parameter set estimator with the property that the true system is always in the model set, and furthermore, how to design the estimation experiment so that the set of uncertainty...
We present schemes for both continuous and discrete time adaptive control of linear time invariant systems. which are partially known, along with analysis of their convergence properties.
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