Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence 2019
DOI: 10.1145/3366194.3366259
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Improvement of surface temperature control system based on fuzzy adaptive PID algorithm

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Cited by 3 publications
(3 citation statements)
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“…The system in this paper needs good dynamic response characteristics and can stabilize the temperature at the set value within 10 minutes. Therefore, as shown in Equation (11), the control algorithm of temperature feedforward compensation of target ball is designed.…”
Section: Mathematical Expression Of Control Algorithmmentioning
confidence: 99%
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“…The system in this paper needs good dynamic response characteristics and can stabilize the temperature at the set value within 10 minutes. Therefore, as shown in Equation (11), the control algorithm of temperature feedforward compensation of target ball is designed.…”
Section: Mathematical Expression Of Control Algorithmmentioning
confidence: 99%
“…For example, Zhou and Fessenden developed an adaptive system for large area superficial hyperthermia [1], while Chen and He discussed an algorithm for controlling DSW objective lens temperature [2]. Tong and Xu presents the design of industrial temperature resistance furnace computer using PID algorithm [3]; Guo and Wang proposed a high accurate adaptive temperature control algorithm [4]; Wang designed an automatic decocting temperature control system of herbal cuisine based on ARM controller [5]; Other researchers have proposed models and algorithms for precise temperature control in various applications, including nanosatellites, surface temperature control in laboratories, steel slab reheating furnaces, cylindrical objects heated by induction, and solar tower power stations [6][7][8][9][10][11][12][13][14]. Some researchers also used genetic algorithms and soft-measurement techniques for temperature compensation and minimization of temperature variation during abrasive honing process [15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…The reason for using adaptive PID was that the humanoid robot had to track the trajectory with minimal error and no overshoot. Ge et al [13] carried out constant temperature control of traditional dough making system with adaptive PID. They did a lot of experimental analysis to improve their self-tuning ability.…”
Section: Introductionmentioning
confidence: 99%