Online PID controller tuning using tree physiology optimization

A. Halim, I. Ismail
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引用次数: 8

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
在线PID控制器调整使用树生理学优化
采用一种新颖的树生理优化(TPO)方法对比例积分导数(PID)控制器参数进行整定。TPO是启发自植物生长系统的元启发式优化的另一种变体。在提出的方法中,每一个可能的解都表示为树芽,由来自根系的变量驱动。这个概念的灵感来自于拍摄系统向更好的阳光传播。同时,根系获得适合度值,从而触发根系向更好的可能因子延伸,然后供应给茎部系统。这种迭代关联导致最优解。通过在线pid整定仿真验证了所提算法的有效性,并与粒子群算法(PSO)和Ziegler-Nichols算法(Z-N)进行了比较
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