SMA-Based Tuning of PI Controller Using Takagi-Sugeno Fuzzy Observers for an Electromechanical System with Variable Parameters | IEEE Conference Publication | IEEE Xplore

SMA-Based Tuning of PI Controller Using Takagi-Sugeno Fuzzy Observers for an Electromechanical System with Variable Parameters


Abstract:

This paper proposes a conventional control structure with two Takagi-Sugeno Fuzzy Observers (TSFOs) for estimating the angular speed, the overall moment of inertia and th...Show More

Abstract:

This paper proposes a conventional control structure with two Takagi-Sugeno Fuzzy Observers (TSFOs) for estimating the angular speed, the overall moment of inertia and the roller radius for an electromechanical system with variable parameters. The described TSFOs are used to estimate states in a complex and nonlinear mechanism, namely strip winding system, which has the capability to wrap a strip with invariable linear speed on a roller knowing that the angular speed and the overall moment of inertia are being modified by the variable roller radius. This paper derives the conditions for the stability of the control system and the observer development, which are represented as linear matrix inequalities. The effectiveness of TSFOs is evaluated with regard to achieving a specific rate of convergence. The conventional control structure employs, in conjunction with the two TSFOs a Proportional-Integral controller with parameters optimally tuned using a metaheuristic slime mould algorithm that solves the optimization problems with objective functions described as the integrals of squared control errors multiplied by time. The control system efficacy is demonstrated and validated through digital simulation results focusing on a comparative analysis of the two TSFOs with the optimally tuned parameters.
Date of Conference: 03-06 July 2023
Date Added to IEEE Xplore: 24 October 2023
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Conference Location: Rome, Italy

References

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