Design of disturbance observers based on their implementability in industrial control systems

Tena, David Tena

doi:10.6035/14107.2022.232960

Cited by 1 publication

(1 citation statement)

References 137 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other solutions [61][62][63][64][65][66][67][68][69] are characterized by linear or nonlinear phase responses, which lead to a time delay in the differentiated and integrated signals or imprecise response with respect to (periodic) signals with varying frequency. This, in turn, limits their applications in closed-loop control and real-time estimation and recovery of the state variables in, e.g., disturbance observer design [77][78][79][80][81][82][83][84][85].…”

Section: Introductionmentioning

confidence: 99%

Design of Small-Phase Time-Variant Low-pass Digital Fractional Differentiators and Integrators

Sakow

2024

JAMRIS

View full text Add to dashboard Cite

The design method and the time-variant FIR architecture for real-time estimation of fractional and integer differentials and integrals are presented in this paper. The proposed FIR architecture is divided into two parts. Small-phase filtering, integer differentiation, and fractional differential and integration on the local data are performed by the first part, which is time-invariant. The second part, which is time-variant, handles fractional and global differentiation and integration. The separation of the two parts is necessary because real-time matrix inversion or an extensive analytical solution, which can be computationally intensive for high-order FIR architectures, would be required by a single time-variant FIR architecture. However, matrix inversion is used in the design method to achieve negligible delay in the filtered, differentiated, and integrated signals. The optimum output obtained by the method of least squares results in the negligible delay. The experimental results show that fractional and integer differentiation and integration can be performed by the proposed solution, although the fractional differentiation and integration process is sensitive to the noise and limited resolution of the measurements. In systems that require closed-loop control, disturbance observation, and real-time identification of model parameters, this solution can be implemented.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of Small-Phase Time-Variant Low-pass Digital Fractional Differentiators and Integrators

Sakow

2024

JAMRIS

View full text Add to dashboard Cite

show abstract

Design of disturbance observers based on their implementability in industrial control systems

Cited by 1 publication

References 137 publications

Design of Small-Phase Time-Variant Low-pass Digital Fractional Differentiators and Integrators

Design of Small-Phase Time-Variant Low-pass Digital Fractional Differentiators and Integrators

Contact Info

Product

Resources

About