Performance Index Selection in Machinery Dynamics Instruction
DOI:
https://doi.org/10.7250/ecce-2026-0002Keywords:
control engineering education, control nonlinearities, dynamics, key performance indicator, machine control, mechatronics, motion analysis, optimal controlAbstract
The practical need for an effective student-centric organisation of active study by Bachelor’s and Master’s students of technical specialties at universities of the course on the fundamentals of optimal control theory determines the relevance of the author’s methodological approach presented in this paper. The approach is associated with the development of a comprehensive individual student assignment on computational multi-criteria nonlinear optimisation modelling of various optimal controls of linear one-dimensional motion of a controlled material point within the framework of the computational visualisation of the sequential nonlinear influence of the algebraic construct of each of the minimized functionals (A1)-(A20). They were mathematically constructed from systems engineering considerations on the completely non-obvious nonlinear dynamic features of each corresponding geometric profile of the desired optimal control signal. Most of the nonlinear formulas for the minimized functionals (A3)-(A20) proposed by the author of this study are original and principally new applied scientific results for the multidisciplinary field of engineering teaching of optimal control. The calculated results of nonlinear optimisation modelling presented in this study were obtained using the computing capabilities of JModelica-{1.17; 2.14} with the Optimica extension. The study can find wide engineering and pedagogical application in teaching university disciplines in automation, cybernetic, mechanical, electromechanical, information technology and computational optimisation cycles.
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