Tuning of a PID Controller using Modified Dynamic Group based TLBO Algorithm | Zendy

Zhiyong Luo | Zendy; Qi Guo | Zendy; Jie Zhao | Zendy; Sean Shensheng Xu | Zendy

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Tuning of a PID Controller using Modified Dynamic Group based TLBO Algorithm

Author(s) -

Zhiyong Luo,

Qi Guo,

Jie Zhao,

Sean Shensheng Xu

Publication year - 2017

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2017912593

Subject(s) - computer science , pid controller , group (periodic table) , controller (irrigation) , algorithm , control theory (sociology) , artificial intelligence , control engineering , control (management) , temperature control , physics , agronomy , quantum mechanics , engineering , biology

This paper presents a new version of Teaching LearningBased Optimization (TLBO) algorithm to find the optimal parameters of Proportional Integral Derivative (PID) controller. The proposed algorithm is an altered version of dynamic group strategy TLBO (DGS-TLBO) and is named as modified dynamic group based TLBO (MDG-TLBO) algorithm. The proposed algorithm is tested on 12 benchmark functions to verify its efficiency over other procedures. The results show that the MDG-TLBO algorithm offers better solution quality and has better convergence rate. Finally, the proposed algorithm is tested on a three-tank liquid-level control system for the optimization of PID gains. The simulation result indicate that the proposed algorithm is an effective method in tuning of PID controllers to obtain better performance measures the error values and the time domain specifications. General Terms Algorithm, PID controller

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