Research on QFT controller design for LOS stabilization system of opto-electronic load for UAV

Xu, Dexin; He, Kaifei; Wei, Yongqiang; Zhao, Jiangpeng

doi:10.1109/wcica.2012.6358201

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…QFT has found application is several diverse engineering applications [6][7][8][9][10][11][12][13][14]. In these applications, manual loop shaping has been used for the synthesis of the QFT controller and prefilter.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms

Katal

Narayan

2018

Modelling and Simulation in Engineering

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A buck converter is a step-down switching regulator. Buck convertors are being widely used in industrial applications that rely on regulated output voltage under fluctuating input voltage. A buck convertor works in the following modes: (a) current-controlled or (b) voltage-controlled mode. But these convertors manifest several nonlinearites because of the switching operation. Hence, in order to generate a quality output of the convertor, the design of a controller becomes crucial. In this paper, the synthesis of a QFT-based robust controller and prefilter has been carried out for an uncertain buck converter with varying input voltage and varying load. The controller synthesis problem has been posed as an optimization problem, and metaheuristic algorithms have been used for obtaining the optimal gains for the QFT controller and prefilter. By doing this, the QFT synthesis can be carried out in a single step instead of following the sequential classical QFT process on Nichols charts and the need for the generation of templates and bounds has be eliminated. The designed 2-degree-of-freedom QFT control system offers a robust behavior and efficiently handles the parametric uncertainties. The robustness of the designed controller has been confirmed through simulation results for large input voltage and load fluctuations.

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Section: Literature Reviewmentioning

confidence: 99%

Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms

Katal

Narayan

2018

Modelling and Simulation in Engineering

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“…QFT has found colossal applications in several diverse areas ranging from missile trajectory control [3,4] to electrical systems [5][6][7], waste treatment plants [8], aerospace applications [9,10], and even some applications in civil engineering [11]. But all these techniques have been based on manual loop shaping of the open loop transmission 0 ( ) on the Nichols chart and the success of the loop shaping process is solely destined upon the experience of the designer and is merely fate if an optimal controller design is achieved.…”

Section: Literature Reviewmentioning

confidence: 99%

QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization

Katal

Narayan

2016

Modelling and Simulation in Engineering

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Automation of the robust control system synthesis for uncertain systems is of great practical interest. In this paper, the loop shaping step for synthesizing quantitative feedback theory (QFT) based controller for a two-phase permanent magnet stepper motor (PMSM) has been automated using teaching learning-based optimization (TLBO) algorithm. The QFT controller design problem has been posed as an optimization problem and TLBO algorithm has been used to minimize the proposed cost function. This facilitates designing low-order fixed-structure controller, eliminates the need of manual loop shaping step on the Nichols charts, and prevents the overdesign of the controller. A performance comparison of the designed controller has been made with the classical PID tuning method of Ziegler-Nichols and QFT controller tuned using other optimization algorithms. The simulation results show that the designed QFT controller using TLBO offers robust stability, disturbance rejection, and proper reference tracking over a range of PMSM’s parametric uncertainties as compared to the classical design techniques.

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“…These applications have a common characteristic is the use of stabilized platform to eliminate vibration and interference on the sensor to maintain visual axis between sensor and track the target (Line -Of -Sight, LOS) stability. At present, the United States, Russia, Israel and other countries in the development of the photoelectric stabilized platform technology belong to the world advanced level [1]. Along with the expansion of the stabilized platform in the field of application, its use also in increase, thus the stability, reliability and tracking precision have been improved.…”

Section: Introductionmentioning

confidence: 99%

Movement Mechanism Analysis of a Piezoelectric Spherical Two-Dimensional Stabilized Platform

Tao

Mei

et al. 2014

AMM

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Based on the theory of spherical stability and piezoelectric motor drive with the combination of two dimensional stabilization platform. For two-dimensional motion spherical stabilized platform overall structure, having pitch and azimuth two ways. Using the theory of mechanics and geometry to mathematical modeling, prove multiple piezoelectric motor synergy drive, to achieve two-dimensional stabilized platform smooth movement. The design method and mathematical model analysis methods put forward by two-dimensional stabilized platform have important reference value to similar equipment research and development, important innovative progress has been made in structure, layout, and control methods.

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Research on QFT controller design for LOS stabilization system of opto-electronic load for UAV

Cited by 3 publications

References 4 publications

Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms

Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms

QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization

Movement Mechanism Analysis of a Piezoelectric Spherical Two-Dimensional Stabilized Platform

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