A novel control algorithm based on immune feedback principle

Qi, Zhenqiang; Hu, Guang‐Da; Yang, Zhaohua; Zhang, Fu-En

doi:10.1109/icmlc.2002.1174552

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Cited by 6 publications

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“…The control system of self-balancing robot is mainly composed of four parts [6][7]. The first is the core controller unit, which is used to analyze the above attitude data information.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Immune PD Algorithm Applied in the Self-Balancing Two-Wheeled Robot

Wang

Fang

2014

2014 8th International Conference on Future Generation Communication and Networking

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Some parameter such as force and speed etc of self-balance two-wheeled robot are nonlinear, so their mathematical model of the control system is difficult to establish. This paper designed a fuzzy immune PD controller, which can achieve selfbalance of two-wheeled robot. Through the simulation study, the results show that fuzzy immune PD controller has some advantages compared with the conventional fuzzy PD controller, such as smaller overshoot amount, short adjustment time, and strong anti-jamming capability.

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“…The control system of self-balancing robot is mainly composed of four parts [6][7]. The first is the core controller unit, which is used to analyze the above attitude data information.…”

Section: Introductionmentioning

confidence: 99%