ACD 2022 Paper Abstract

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Hosseinzadeh Dadash, Amirhossein (Högskolan i Gävle), Björsell, Niclas (Högskolan i Gävle)

Adaptive Finite Horizon Degradation-Aware Regulator

Scheduled for presentation during the Regular Session "Advanced Control " (FrA1), Friday, November 18, 2022, 09:00−09:20, MAIN ROOM - E406

16th European Workshop on Advanced Control and Diagnosis, November 16-18, 2022, Nancy, France

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Adaptive Control, Advanced Fault-Tolerant Control, Data-Driven Diagnosis Methods

Abstract

Predicting the failure and estimating the machine's state of health is information that supports the production planning and maintenance management systems to increase productivity and reduce maintenance and downtime costs. However, controlling the degradation in the machines will improve the system's reliability and resilience and make high-level decisions more accurate and reliable. To control the degradation in the machines, time should be included in the cost function as a variable, which alters the markovian properties of the system dynamic. In this article, we include the degradation cost in the quadratic cost function of the infinite horizon controller and calculate the optimal feedback according to the dynamics of the degradation using dynamic programming. It will be shown that the infinite horizon control will convert to the finite horizon, and the controller will be able to control the degradation according to the desired degradation at the desired time. In the end, with the help of simulation, we show that the degradation controller can control the degradation in the MIMO systems.

 

 

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