Lead-lag compensator design based on vector margin and steady-state error of the step response via particle swarm optimization

Kuo, Ying-Sheng; Lin, Jia-Yu; Tang, Jia-Ci; Hsieh, Jer‐Guang

doi:10.1109/ifuzzy.2016.8004923

Cited by 11 publications

(1 citation statement)

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“…Tan used the Kharitonov and the Hermite-Biehler theorems to compute the parameters of lead-lag controller in [6]. Kuo et al designed the lead-lag compensator based on vector margin and steady-state error of the step response [7]. Horng used cuckoo search to design leadlag controllers [8].…”

Section: Introductionmentioning

confidence: 99%

Design of the Second-Order Controller by Time-Domain Objective Functions Using Cuckoo Search

Horng¹

2019

Swarm Intelligence - Recent Advances, New Perspectives and Applications

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The proportional-integral-derivative (PID) controllers are widely used in many industrial control applications. However, the lead-lag controllers are more practical. Traditionally, time-domain or frequency-domain methods have been used to design a lead-lag controller in order to meet the design specifications. This chapter will focus on the design of controller by optimizing the time-domain objective function. The proposed objective function includes the first peak time, maximum peak time, rise time, maximum overshoot, maximum undershoot, setting time, and steadystate error. In the study, cuckoo search algorithm is adopted to search the optimal controller parameters. Cuckoo search is a recently developed meta-heuristic optimization method, which is a population-based algorithm inspired by the behavior of some cuckoo species in combination with the Lévy flight behavior. A numerical example is simulated to illustrate the use of the proposed method.

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Section: Introductionmentioning

confidence: 99%