A Fractional-Order On-Line Self Optimizing Control Framework and a Benchmark Control System Accelerated Using Fractional-Order Stochasticity

نویسندگان

چکیده

This paper presents a design and evaluation of fractional-order self optimizing control (FOSOC) architecture for process control. It is based on real-time derivative-free optimization layer that adjusts the parameters discrete-time proportional integral (FOPI) controller according to an economic cost function. A simulation benchmark designed assess performance FOSOC first order plus dead time system. Similarly, acceleration mechanism proposed framework employing Gaussian noise with long-range dependence given by Hurst exponent. The obtained results show can improve system closed-loop response under different operating conditions reduce convergence algorithm using stochasticity.

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ژورنال

عنوان ژورنال: Fractal and fractional

سال: 2022

ISSN: ['2504-3110']

DOI: https://doi.org/10.3390/fractalfract6100549