Frequency response of digitally controlled systems

1981 ◽  
Vol 4 (4) ◽  
pp. 423-427 ◽  
Author(s):  
R. F. WHITBECK ◽  
D. G. J. DIDALEUSKY ◽  
L. G. HOFMANN
1982 ◽  
Vol 4 (3) ◽  
pp. 153-160 ◽  
Author(s):  
D.A. Linkens ◽  
M. Menad ◽  
N. Mort ◽  
L.S. Gray ◽  
S. Bennett

2010 ◽  
Vol 57 (8) ◽  
pp. 2785-2796 ◽  
Author(s):  
F Gonzalez-Espin ◽  
E Figueres ◽  
G Garcera ◽  
R Gonzalez-Medina ◽  
M Pascual

1974 ◽  
Vol 96 (1) ◽  
pp. 61-70 ◽  
Author(s):  
J. M. Smith

Classical and even modern developments of numerical integration have not been directly concerned with the frequency-response of integration algorithms. The frequency-response characteristics of an integrator are usually presented only as a property of the integrator. When numerical integration is used in all digital (or hybrid) simulation, digital computer controlled systems or other discrete information systems, much care is given to selecting a numerical integration formula with well-behaved frequency-response characteristics. This paper is concerned with the development of a set of numerical integrators suited for application in information systems. These integrators are synthesized in such a way that they have well-defined frequency-response characteristics WHICH CAN BE VARIED; thus, each of these integrators can be tailored to integrate accurately and efficiently in many different applications. These methods of numerical integration have stability, accuracy, and noise-controlling parameters. Analytical and empirical methods of selecting the values of these parameters are discussed in detail.


Author(s):  
Peter S. Curtiss ◽  
Darrell D. Massie ◽  
Michael A. Miller

The concept of energy sharing is made difficult by the need to rapidly reconfigure military hardware in support of varied missions. Military equipment must have the ability to operate independently, even if not at optimal operating points, but then share power when opportunities exist. Dynamic reconfiguration of power systems has historically been difficult for mechanically or digitally controlled systems equipped with traditional technologies. This report describes a fundamental step in building an energy-sharing infrastructure, effectively creating redundant sources of energy supply and significantly reducing the logistical burdens associated with providing power. The authors have developed and tested an intelligent power management and power grid system that optimizes performance and efficiency through local and system-level autonomous control. The grid system was based on existing military, trailer-mounted, mobile power equipment. A reduction in fuel consumption of 36 percent was observed. In addition, prioritized load shedding was demonstrated as a means to prevent the generators from being overloaded.


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