Abstract: This paper introduces the idea of fuzzy self-adaptive PID algorithm. In order to compare the control effects of traditional PID, fuzzy control and fuzzy self-adaptive PID algorithm, simulation was carried out .The results show that the fuzzy self-adaptive PID controller has the characteristics of fast response time, less overshoot and small steady-state error and has extremely high interference rejection capacity. The software of SCM (Single-Chip Microcomputer) realizes the algorithm. The controller is applied to electric heating furnace temperature control system and the practical application shows that the controller achieves a satisfied control effect.
651
Authors: Zheng Mei Cheng, Xiao Ding Guo, Xiao Ke Chen, Jing Xin Deng
Abstract: The voltage stability of test power source system about small locomotive is poor, and the response speed is slow. The theory of adaptive fuzzy PID control used in the small locomotive test power source system was proposed. The design of adaptive fuzzy PID controller and the effect of simulation were detail described. The control effect of adaptive fuzzy PID control and the traditional PID control is compared. The application value of adaptive fuzzy PID control on small locomotive test power source system has been proved.
240
Authors: He Xiang Liu, Hai Tao Yu, Min Qiang Hu, Lei Huang, Li Yu
Abstract: In this paper, an acceleration compensating control approach is used for dealing with the non-linear dynamics of a multiple degrees of freedom electromagnetic suspension system. This method not only has simple configuration and is implement easily, but also improves the performance of the dynamic stability and the anti-jamming capability. Simulations on the magnetic suspension demonstrated the efficiency of proposed method.
64
Abstract: This paper proposes an induction motor variable frequency speed control system based on fuzzy-PI self-tuning. The system includes coordinate transformation modules, vector control modules, space vector pulse width modules, fuzzy-PI self-tuning speed regulator, excitation current and torque current PI regulator. Because the speed regulator controlled by the fuzzy-PI self-tuning has better control effect than traditional PI. The performance can be reflected by the shorter response time, smaller overshoot. In addition, when the load torque changes, the electromagnetic torque changes more smoothly and does not have large fluctuations.
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