scholarly journals Comparison of Different Repetitive Control Architectures: Synthesis and Comparison. Application to VSI Converters

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 446
Author(s):  
Germán Ramos ◽  
Ramon Costa-Castelló
Keyword(s):  
Internal Model ◽  
Repetitive Control ◽  
Signal Generator ◽  
Experimental Results ◽  
Controller Synthesis ◽  
Voltage Source ◽  
Periodic Signal ◽  
Voltage Source Inverter

Repetitive control is one of the most used control approaches to deal with periodic references/disturbances. It owes its properties to the inclusion of an internal model in the controller that corresponds to a periodic signal generator. However, there exist many different ways to include this internal model. This work presents a description of the different schemes by means of which repetitive control can be implemented. A complete analytic analysis and comparison is performed together with controller synthesis guidance. The voltage source inverter controller experimental results are included to illustrative conceptual developments.

Steady-State and Stochastic Performance of a Modified Discrete-Time Prototype Repetitive Controller

1990 ◽  
Vol 112 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Kok Kia Chew ◽  
Masayoshi Tomizuka
Keyword(s):  
Steady State ◽  
Discrete Time ◽  
Internal Model ◽  
Repetitive Control ◽  
Signal Generator ◽  
Disk File ◽  
Stochastic Disturbances ◽  
Actuator System ◽  
Dual Objectives ◽  
Steady State Performance

Perfect regulation may be too stringent a condition in repetitive control. In this paper, the rigid stability requirement is relaxed by including an appropriately chosen filter in the repetitive signal generator. Lacking an internal model, perfect regulation is not assured in the modified system. The steady-state and stochastic performances of the resulting system are analyzed. These analyses reveal that under certain conditions the dual objectives of good steady-state and stochastic performances are conflicting. A high repetitive gain may give good steady-state performance, but the variance propagation of stochastic disturbances is large (extremely large for some choice of a parameter in the modified controller). The converse is true when the repetitive gain is small. The performance of the modified scheme is evaluated by applying it to a simulated disk-file actuator system.

scholarly journals Generalized Vectorial Formalism – based multiphase series-connected motors control

2015 ◽  
Vol 18 (3) ◽  
pp. 18-28
Author(s):  
Eric Semail ◽  
Ngac Ky Nguyen ◽  
Xavier Kestelyn ◽  
Tiago Dos Santos Moraes
Keyword(s):  
Permanent Magnet ◽  
Control Strategy ◽  
Control Method ◽  
Experimental Results ◽  
Voltage Source ◽  
Strategy Development ◽  
Voltage Source Inverter ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Multiphase Machine

Multiphase drives are more and more used in specific applications leading to a necessity of control strategy development. This paper presents the Generalized Vectorial Formalism (GVF) theory to control multiphase series-connected permanent magnet synchronous motors (PMSM) fed by one voltage source inverter (VSI). Based on a decomposition of multiphase machine, a proposed control strategy has been achieved. Some experimental results are given to illustrate this control method.

Tracking Control of Periodic Signals With Varying Magnitude and Its Application to Hybrid Powertrain

2010 ◽  
Author(s):  
Xingyong Song ◽  
Pradeep Gillella ◽  
Zongxuan Sun
Keyword(s):  
Internal Model ◽  
Linear Time ◽  
Vibration Reduction ◽  
Repetitive Control ◽  
Periodic Signal ◽  
Asymptotic Performance ◽  
Hybrid Powertrain ◽  
Power Sources ◽  
Control Framework ◽  
Periodic Signals

Internal model based repetitive control for linear time invariant (LTI) system has been widely applied to track or reject periodic signals with only the period known. It is well understood that the discrete generating dynamics of the periodic signal can be obtained by finite sampling, and embedding it as the internal model will yield asymptotic performance. However, the traditional repetitive control framework will no longer work for periodic signals with varying peak to peak amplitude. As will be revealed in this paper, the generating dynamics of this kind of signals is time varying, and thus simply embedding its generating dynamics as the internal model will no longer ensure asymptotic performance. The necessity of investigating tracking or rejecting varying magnitude periodic signals comes from a wide class of anticipated applications, one example of which is the hybrid vehicle powetrain vibration reduction. In the hybrid vehicles, engine starting and stopping occur frequently to switch between power sources, which could cause driveline vibration. With proper formulation, the oscillation signal becomes periodic with varying magnitude. To suppress such vibration, in this paper, the generating dynamics of this unique signal is first derived, and then its corresponding controller design method is presented. After a series of simulations and case studies, the proposed control framework is demonstrated to be a promising solution for the hybrid powertrain vibration reduction problem.

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