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Seppo J. Ovaska - One of the best experts on this subject based on the ideXlab platform.

  • Polynomial predictive filtering in Control Instrumentation: a review
    IEEE Transactions on Industrial Electronics, 1999
    Co-Authors: S. Valiviita, Seppo J. Ovaska, O. Vainio
    Abstract:

    Additional delay is an unavoidable drawback of conventional filters used frequently in industrial electronics. This delay is particularly harmful if the filtered primary signal is to be used for time-critical feedback or synchronization purposes. Therefore, predictive signal processing methods can offer significant advantages for these real-time applications. Polynomial predictive filters are specified without explicit passbands and stopbands, and they are behaving delaylessly or predictively for smoothly varying signal components. The degree of smoothness of the incoming signal sets the requirements for the applied filtering scheme and its parameters. Smoothness of a signal is a fuzzy and application-specific concept: the degree of smoothness depends on the ratio of the bandwidth of the primary signal and the applied sampling rate, as well as the noise component. In this paper, the authors review the most important polynomial predictive filtering methods and algorithms, their design and implementation techniques, and a collection of successful applications.

  • Special Section on Predictive and Delayless Methods in Control Instrumentation
    IEEE Transactions on Industrial Electronics, 1999
    Co-Authors: Seppo J. Ovaska
    Abstract:

    IT IS A TRUE honor and certainly a great pleasure for me to be able to present this “Special Section on Predictive and Delayless Methods in Control Instrumentation.” Due to the growing demand for improving the performance of motor drives and other embedded Control systems, there is also an increasing need to enhance the quality of feedback signals—either physically measured or estimated—in various applications. These signals are typically corrupted by different kinds of noise and disturbance components. As is widely known, conventional filtering methods are not usually practical when we operate inside a fast Control loop, because they always introduce additional lag that degrades the achievable Control performance. Recently, such new techniques as predictive linear filtering and soft computing have opened new opportunities to solve delay-constrained filtering problems. These techniques are not yet broadly known or used in the engineering community. From the application point of view, the linear and soft-computing-based techniques should not be viewed as competing with each other, but rather as complementary. Therefore, they both should belong in the “toolbox” of a practicing engineer. This Special Section contains seven papers authored by researchers in academia. These papers address the state of the art, as well as present competitive techniques with clear application potential. The Special Section begins with a tutorial

  • Delayless recursive differentiator with efficient noise attenuation for Control Instrumentation
    Signal Processing, 1998
    Co-Authors: S. Valiviita, Seppo J. Ovaska
    Abstract:

    Abstract Acceleration feedback can improve the performance of motion Control in servo drives. Closed-loop acceleration Control is, however, seldom implemented in practical drive systems due to dissatisfying performance of most existing acceleration measurement methods. In this article, we introduce a feedback extension scheme for finite impulse response (FIR) polynomial differentiators making it possible to differentiate the velocity signal computationally efficiently while providing considerable noise attenuation. The proposed recursive differentiator does not delay the primary acceleration signal but, instead, the forward prediction step can be adjusted to compensate for various delays in the physical implementation. Predictive properties are obtained by taking advantage of the deterministic nature of polynomial signals. The utilization of the polynomial model, on the other hand, is justified because within narrow time windows, low-degree polynomials can be fitted accurately into the smoothly changing velocity and acceleration signals. The performance of the novel differentiation scheme is evaluated by applying it to an acceleration measurement application.

  • A class of predictive analog filters for sensor signal processing and Control Instrumentation
    IEEE Transactions on Industrial Electronics, 1997
    Co-Authors: Olli Vainio, Seppo J. Ovaska
    Abstract:

    A class of analog continuous-time filters is introduced, having predictive properties for specified narrow-band signal models, such as low-order polynomials or sinusoids. Such filters are designed by using model transfer functions designed in the discrete-time domain. Z-to-s-domain mapping is done using the inverse bilinear transformation. The analog filters are implemented with active-RC structures, using the state-variable structure for biquads and a single-op-amp structure for real poles and zeros. The application examples include a filter for zero-crossing detectors, polynomial predictors for sensor signal smoothing, and an optimized sixth-order ramp-tracking filter for anti-aliasing and anti-imaging in digital signal processor (DSP) systems where high selectivity is required.

  • Ramp-tracking anti-aliasing and anti-imaging filter for Control Instrumentation
    Proceedings of IEEE International Symposium on Industrial Electronics, 1
    Co-Authors: O. Vainio, A. Learner, Seppo J. Ovaska
    Abstract:

    A novel analog lowpass filter with predictive characteristics is proposed for anti-aliasing and anti-imaging filtering in Instrumentation, signal processing, and automatic Control. The filter is capable of following a ramp input without causing delay on the primary signal in steady-state operation. Such filtering is advantageous in several industrial applications; for example, many real-world velocity signals are piece-wise first-order polynomials. The filter has lowpass characteristics, an almost equiripple passband, and a high stopband attenuation. A prototype of the sixth-order filter was constructed using active-RC techniques, and demonstrates the ramp-tracking capability as well as the lowpass characteristics. The demonstrator filter has a 30 Hz passband width and 20 dB attenuation at 50 Hz.

Grzegorz Polakow - One of the best experts on this subject based on the ideXlab platform.

  • a survey on applications of agent technology in industrial process Control
    IEEE Transactions on Industrial Informatics, 2011
    Co-Authors: Mieczyslaw Metzger, Grzegorz Polakow
    Abstract:

    The agents and multiagent systems technology is actively researched by the academia and industrial community. However, the technology is particularly popular in the manufacturing domain, while the applications in other domains of industrial Control are scarce. This survey focuses exclusively on the technology applications in the automation of continuous industrial processes, as the differences in the technology adoption between the process automation and manufacturing are significant. A large part of the literature on the subject is reviewed. The analysis of the literature is provided from several points of view, the main trends of research are described, including the shift of the researchers' interest from the agent-based supervisory Control to the low-level agent-based Control algorithms. Conclusions are provided regarding the lack of the technology support on the part of Control Instrumentation vendors; probable directions of the development are indicated, which turn out to be especially promising in the domain of biotechnological processes.

Olli Vainio - One of the best experts on this subject based on the ideXlab platform.

  • A class of predictive analog filters for sensor signal processing and Control Instrumentation
    IEEE Transactions on Industrial Electronics, 1997
    Co-Authors: Olli Vainio, Seppo J. Ovaska
    Abstract:

    A class of analog continuous-time filters is introduced, having predictive properties for specified narrow-band signal models, such as low-order polynomials or sinusoids. Such filters are designed by using model transfer functions designed in the discrete-time domain. Z-to-s-domain mapping is done using the inverse bilinear transformation. The analog filters are implemented with active-RC structures, using the state-variable structure for biquads and a single-op-amp structure for real poles and zeros. The application examples include a filter for zero-crossing detectors, polynomial predictors for sensor signal smoothing, and an optimized sixth-order ramp-tracking filter for anti-aliasing and anti-imaging in digital signal processor (DSP) systems where high selectivity is required.

Mieczyslaw Metzger - One of the best experts on this subject based on the ideXlab platform.

  • a survey on applications of agent technology in industrial process Control
    IEEE Transactions on Industrial Informatics, 2011
    Co-Authors: Mieczyslaw Metzger, Grzegorz Polakow
    Abstract:

    The agents and multiagent systems technology is actively researched by the academia and industrial community. However, the technology is particularly popular in the manufacturing domain, while the applications in other domains of industrial Control are scarce. This survey focuses exclusively on the technology applications in the automation of continuous industrial processes, as the differences in the technology adoption between the process automation and manufacturing are significant. A large part of the literature on the subject is reviewed. The analysis of the literature is provided from several points of view, the main trends of research are described, including the shift of the researchers' interest from the agent-based supervisory Control to the low-level agent-based Control algorithms. Conclusions are provided regarding the lack of the technology support on the part of Control Instrumentation vendors; probable directions of the development are indicated, which turn out to be especially promising in the domain of biotechnological processes.

Li Yang - One of the best experts on this subject based on the ideXlab platform.