Proportional-integral-derivative controller parameter optimisation based on improved glowworm swarm optimisation algorithm. (4th April 2020)

• Record Type: Journal Article
• Authors: Guo, Xing; Yin, Shi-Chao; Zhang, Yi-Wen; Li, Wei
• Is Part Of: International journal of computing science and mathematics. Volume 11:Number 3(2020)
• Page Start: 278
• Page End: 290
• Publication Date: 2020-04-04
• Subjects: glowworm swarm optimisation -- GSO -- directed moving -- adaptive step strategy -- proportional-integral-derivative -- PID controller; Mathematics -- Periodicals; Computer science -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.285
• Languages: English
• ISSNs: 1752-5055

Abstract

The proportional-integral-derivative (PID) controller parameters tuning, is seeking the optimal value in the space of three parameters to achieve the optimal control performance of the system. It is the core of contemporary feedback control system design. However, its easily falling into local optimum weakened its global search ability. To tackle this problem, this paper proposes an improved glowworm swarm optimisation algorithm, (D-AGSO) with the introduction of directed moving and adaptive step strategy. The simulation experimental results show that D-AGSO continuously adapts the tuning parameters, achieving lower fluctuations features, time settling and smaller steady state error, specially applied to the time delay in the case of inertia controlled system of industrial production.