Online PID controller tuning using tree physiology optimization

Halim, A.H. and Ismail, I. (2017) Online PID controller tuning using tree physiology optimization. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

This paper presents the tuning of Proportional Integral Derivative (PID) controller parameter using a novel Tree Physiology Optimization (TPO). TPO is another variant of metaheuristic optimization that inspired from a plant growth system. In the proposed method, every possible solution denoted as tree-shoots is driven by variables from the root system. The concept is inspired from the propagation of shoot system towards better sunlight. At the same time, the root system receive fitness value which then triggers root extension towards a better possible factor and then supplied to the shoot system. This iterative correlation leads towards optimum solution. A simulation of online PID-tuning is applied to demonstrate the effectiveness of proposed algorithm and compared with other optimization method which are Particle Swarm Optimization (PSO) and Ziegler-Nichols (Z-N) method. © 2016 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 7; Conference of 6th International Conference on Intelligent and Advanced Systems, ICIAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125970
Uncontrolled Keywords: Forestry; Iterative methods; Optimization; Particle swarm optimization (PSO); Physiology; Plants (botany); Three term control systems; Two term control systems, Meta-heuristic optimizations; Optimization method; Optimum solution; Pid controller tuning; PID tuning; Proportional integral derivative controllers; Root extensions; Ziegler Nichols, Proportional control systems
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:20
Last Modified: 09 Nov 2023 16:20
URI: https://khub.utp.edu.my/scholars/id/eprint/8928

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