000 | 03924nlm0a2200529 4500 | ||
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001 | 379339 | ||
005 | 20231030003937.0 | ||
035 | _a(RuTPU)RU\TPU\retro\36806 | ||
035 | _aRU\TPU\network\39747 | ||
090 | _a379339 | ||
100 | _a20230912d2023 k y0engy50 ba | ||
101 | 0 | _aeng | |
105 | _aa z 101zy | ||
135 | _adrcn ---uucaa | ||
181 | 0 | _ai | |
182 | 0 | _ab | |
200 | 1 |
_aController Tuning for an Object with Astatism of 2nd Order for Learning Purposes _fD. Yu. Lyapunov, S. V. Lyapushkin, A. A. Shilin [et al.] |
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203 |
_aText _celectronic |
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300 | _aTitle screen | ||
320 | _a[References: 13 tit.] | ||
330 | _aThe present paper investigates the essentials of a controller tuning for an object characterized by 2nd order astatism. This object can serve as a steam boiler model aimed at providing the reference water head in the closed loop system with a proportional-differential controller. Several methods of optimal controller tuning are considered. The corresponding response curves as well as frequency responses of the system are presented to validate the tuning methods. The values of response time, overshooting, gain and phase margins satisfy the requirements applied to the systems under consideration. The resulting closed loop control system serves as a basis for developing a virtual reality (VR) learning environment for bachelor students major in power engineering and related fields. Employing an integrative learning approach into the training process allows students to acquire solid knowledge in control systems by using foreigh literature related to control systems domain. | ||
463 |
_tTechnology Enhanced Learning in Higher Education (TELE2023) _oProceedings of the 3rd International Сonference, June, 14-16 2023 Russia, Lipetsk _v[P. 18-22] _d2022 |
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610 | 1 | _aэлектронный ресурс | |
610 | 1 | _aтруды учёных ТПУ | |
610 | 1 | _atraining | |
610 | 1 | _asolid modeling | |
610 | 1 | _apower engineering | |
610 | 1 | _aprocess control | |
610 | 1 | _avirtual reality | |
610 | 1 | _asolids | |
610 | 1 | _aboilers | |
610 | 1 | _aобучение | |
610 | 1 | _aтвердотельное моделирование | |
610 | 1 | _aэнергетика | |
610 | 1 | _aконтроль | |
610 | 1 | _aвиртуальная реальность | |
610 | 1 | _aтвердые вещества | |
610 | 1 | _aкотлы | |
701 | 1 |
_aLyapunov _bD. Yu. _cspecialist in the field of electrical engineering _cAssociate Professor of Tomsk Polytechnic University, candidate of technical sciences _f1982- _gDanil Yurievich _2stltpush _3(RuTPU)RU\TPU\pers\34175 |
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701 | 1 |
_aLyapushkin _bS. V. _cspecialist in the field of electrical engineering _cAssociate Professor of Tomsk Polytechnic University, Candidate of Sciences _f1973- _gSergey Viktorovich _2stltpush _3(RuTPU)RU\TPU\pers\34176 |
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701 | 1 |
_aShilin _bA. A. _cspecialist in the field of electrical engineering _cProfessor of Tomsk Polytechnic University, doctor of technical Sciences _f1972- _gAleksandr Anatoljevich _2stltpush _3(RuTPU)RU\TPU\pers\35719 |
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701 | 1 |
_aDomaratskaya _bM. P. _gMargarita Pavlovna |
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701 | 1 |
_aYudintsev _bA. G. _cспециалист в области электротехники _cдоцент Томского политехнического университета, кандидат технических наук _f1979- _gAnton Gennadjevich _2stltpush _3(RuTPU)RU\TPU\pers\27731 |
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712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bОтделение автоматизации и робототехники _h7952 _2stltpush _3(RuTPU)RU\TPU\col\23553 |
801 | 2 |
_aRU _b63413507 _c20230912 _gRCR |
|
856 | 4 | _uhttps://doi.org/10.1109/TELE58910.2023.10184340 | |
942 | _cCF |