Fixed, low-order controller design with time response specifications using non-convex optimization

Jin, Lihua; Kim, Young Chol

doi:10.1016/j.isatra.2008.05.001

Cited by 34 publications

(17 citation statements)

References 19 publications

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“…A classical method of doing this is to introduce a notch filter (Jin and Kim 2008). Thus, we are going to pre-compensate for the oscillatory modes by introducing such a notch filter as the first step in the design procedure.…”

Section: Controller Designmentioning

confidence: 99%

“…However, it is evident that this problem cannot be solved analytically because the solution does not exist due to the low order of the controller. In this article, we apply the partial model matching (PMM) method of Jin and Kim (2008) that uses the non-convex optimization technique.…”

Section: Y Woo and Y C Kimmentioning

confidence: 99%

“…As shown by Jin and Kim (2008), a Matlab solver is available for solving the non-convex optimization problem in equation (30). Applying the approach in Keel et al (2008) …”

mentioning

confidence: 99%

“…Finally, the controllers for both the x-axis and y-axis loops are determined by using the Gloptipoly (Jin and Kim 2008) which are shown in Table 3. Now, the remaining design problem is to find a L x (s).…”

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confidence: 99%

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A Controller Design for Precision Laser-Beam Positioning System

Woo

Kim

2011

International Journal of Optomechatronics

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This article presents a decentralized control strategy for a two-axis precision laser-beam positioning system (PLPS). The PLPS is composed of two integrated subsystems: the telescope system equipped with a FSM platform and the beam alignment system. The strategy included actual data acquisition, system analysis and modeling, digital controller design, and experimental evaluations. The controller had a sensitivity margin of less than À10 dB at 20 Hz on each axis, and maintained the stability of PLPS. The system had moderate robustness, tracked the command signals and output responses without steady-state errors.

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Section: Controller Designmentioning

confidence: 99%

Section: Y Woo and Y C Kimmentioning

confidence: 99%

“…As shown by Jin and Kim (2008), a Matlab solver is available for solving the non-convex optimization problem in equation (30). Applying the approach in Keel et al (2008) …”

mentioning

confidence: 99%

mentioning

confidence: 99%

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A Controller Design for Precision Laser-Beam Positioning System

Woo

Kim

2011

International Journal of Optomechatronics

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“…There are different methods available for designing such a controller. In this system, the parametric design method developed by Kim et al [2,7], which is very useful for time response design problems, has been applied. We first select a controller type.…”

Section: Controller Designmentioning

confidence: 99%

A LabVIEW-based control system design for PWM converter

et al. 2007

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This paper presents a new technique of designing a control system for PWM converter based on the LabVIEW and an advanced FPGA reconfigurable embedded control and acquisition equipment, Compact RIO (cRIO). Assuming that a PWM controller is composed in the double loop structure and that the inner loop controller is given, a constructive design system that is able to make data acquisition, modeling, controller design, simulation with PC, and hardware in the loop simulation (HILS) is represented. In this approach, a key point is to obtain an equivalent linear model of the inner loop system including nonlinear components by using the closed loop identification and to use it when the outer loop controller is designed. Experimental results applied to a real PWM converter will be given as a demonstration.

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