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Implementation and Optimization of Two Degree of Freedom H∞ Loop Shaping Control for Average Current Mode Control Buck Converter using Genetic Algorithm
(2021-01-01)
Kaitwanidvilai, Somyot
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Phurahong, Nuttapon
;
Suwan-Ngam, Warachart
In this paper, we focus on the implementation and optimization of two degree of freedom (2DOF) H∞ loop shaping control for the DC-DC buck converter. The output voltage is controlled using the current control mode called the average current mode control (ACMC). The technique using the fixed structure robust controller technique, as well as genetic algorithm (GA), is applied, resulting in the reduction of the controller order and optimal parameter for the robust proportional integral (PI) controller. In this paper, the performance of the proposed controller is compared with those using the conventional 2DOF H∞ loop shaping controller and other techniques. According to both simulation and experimental results, the robust controller designed by the proposed technique is simple, low order, and practical, yet still retains both performance and robustness.
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2DOF H infinity Control for DC Motor using Genetic Algorithms
(2014-01-01)
Chitsanga, Natchanon
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Kaitwanidvilai, Somyot
This paper presents a new method of 2DOF H infinity Control for DC Motor. The proposed technique applies the Genetic Algorithms to achieve the specified structure robust control design. The robustness in terms of robust 2DOF control is achieved by the proposed design and the control results are compared with the conventional 2DOF H infinity control. As results indicated, the proposed method is simpler and the order of the proposed controller is lower than that of the conventional robust control technique. The comparison is done by performing the simulation using the transfer function of the real motor system.
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Genetic algorithms based automatic boundary selection of robust H ∞ loop shaping pid control for DC/DC converter
(2013-07-12)
Olranthichachat, Piyapong
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Kaitwanidvilai, Somyot
H<inf>∞</inf> loop shaping is complicated controller and has high order. It is difficult to implement in practice. To overcome this problem, we propose an algorithm, Genetic Algorithms based Automatic Boundary Selection (GA-ABS) of Robust H<inf>∞</inf> loop shaping control, to design a robust controller. GA-ABS is used to solve the fixed-structure H<inf>∞</inf> loop shaping. Additionally, in the proposed technique, the Boundary Selection of Genetic Algorithms, which is normally difficult to select, is determined by using GA-ABS. The performance and robustness of the proposed controller are investigated in a buck converter in comparison with those of the controllers designed by conventional H<inf>∞</inf> loop shaping and ISE (Integral Square Error) methods. Results of simulations demonstrate the advantages of a simple structure and robustness against plant perturbations and disturbances of the proposed controllers. Experiments are also performed to verify the effectiveness of the proposed technique.
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Compact genetic algorithm for designing LCL filter
(2013-07-12)
Sarnthoy, Puriwat
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Kaitwanidvilai, Somyot
The attenuation of harmonic of LCL filter is better than that of LC filter; thus, this paper focuses on the design of LCL filter. Compact Genetic Algorithm (cGA) is adopted for designing this filter to solve the problem of difficulty of LCL filter design stage. In this paper, three artificial intelligent techniques, Genetic Algorithm, Compact Genetic Algorithm and Particle Swarm Optimization, are adopted to design the filter. Performance of all techniques are investigated and compared.
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Design and implementation of a high performance Hard Disk Drive servo controller using GA based 2DOF robust controller
(2012-02-01)
Kaitwanidvilai, Somyot
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Nath, Amar
Currently, HDD (Hard Disk Drive) with VCM actuator covers more than 80% of the HDD market. To enhance the capacity and ability of the system, a new class of servo controller is required to achieve both the robustness and performance of the entire system. This paper proposes a new technique for designing a robust controller for HDD with Voice Coil motor (VCM) actuator; the control design problem, H <inf>∞</inf> loop shaping with structured controller, is solved by Genetic Algorithm (GA). The proposed technique does not only solve the problem of high order controller in the conventional design, but also still retains the robust performance of conventional H <inf>∞</inf> control technique. In addition, structured pre-filter in the 2DOF control scheme is also designed by GA to enhance the performance in terms of time-domain tracking. Simulation and experimental results verify the effectiveness of our proposed technique. © 2012 ICIC International.
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Fixed structure robust 2DOF H-infmity loop shaping control for ACMC buck converter using genetic algorithm
(2012-01-01)
Phurahong, Nuttapon
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Kaitwanidvilai, Somyot
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Ngaopitakkul, Atthapol
This paper proposes a new technique for designing a robust controller for an ACMC (Average Current Mode Control) buck converter. The proposed technique is based on the concept of 2DOF H∞ loop shaping control (2DOF HLS) which can be adopted to find the robust controller. However, the structure of this controller is normally complicated with high order because the order of the designed controller depends on the order of the plant and weighting function. This makes the difficulty in the implementation. The proposed technique can overcome this problem by using genetic algorithm (GA) to solve the structure specified 2DOF H- infinity loop shaping control. Simulation results in the ACMC buck converter verify the effectiveness of the proposed controller.
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Enhancing the performance of fixed-structure robust loop shaping control using genetic algorithm approach
(2011-07-26)
Olranthichachat, Piyapong
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Kaitwanidvilai, Somyot
This paper is proposed an algorithm, Genetic Algorithm (GA) based fixed-structure H<inf>∞</inf> loop shaping control, to the problem-solving of conventional H<inf>∞</inf> loop shaping, such as high-order and difficult to be usable in general. In this approach, a structure of controller is specified combine H<inf>∞</inf> loop shaping method is solved by GA algorithm. Additionally, in the proposed technique, the desired performance weighting function, which is defined by using GA. The performance and robustness of the proposed controller are investigated in a pneumatic servo system in comparison with that of the controller designed by conventional H <inf>∞</inf> loop shaping. Results of simulation demonstrate the advantages of simple structure and robustness against plant perturbations and disturbances of the proposed controller. Experiments are performed to verify the effectiveness of the proposed technique.
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Automatic weight selection and fixed-structure cascade controller for a quadratic boost converter
(2011-01-10)
Kaitwanidvilai, Somyot
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Srithongchai, Pitsanu
In this paper, a new technique for designing a robust cascade controller for a quadratic boost converter is proposed. A single performance index in H infinity loop shaping control called stability margin is adopted as the objective function in the proposed optimization control problem; GA is used to solve this problem to evaluate the optimal controller. Necessary conditions of cascade control scheme are adopted as the constraints in the optimization problem. In addition, pre-compensator weight, which is normally difficult to be selected, is simultaneously determined with the controller. Comparative study with the conventional H infinity loop shaping is presented. Finally, simulation results verify the effectiveness of the proposed technique. © 2011 Springer Science+Business Media B.V.
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Coordinated SVC and AVR for robust voltage control in a hybrid wind-diesel system
(2010-12-01)
Vachirasricirikul, Sitthidet
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Ngamroo, Issarachai
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Kaitwanidvilai, Somyot
This paper proposes a robust control of voltage fluctuation due to the variation of reactive loads in an isolated wind-diesel hybrid power system using Static Var Compensator (SVC) and Automatic Voltage Regulator (AVR). The structure of the voltage controller of SVC and AVR is the proportional integral (PI) controller with single input. In the system modeling, a normalized coprime factorization is applied to represent possible unstructured uncertainties in the power system such as variation of system parameters and generating and loading conditions. Based on the H<inf>∞</inf> loop shaping, the performance and robust stability conditions of the control system are formulated as the optimization problem. The genetic algorithm is applied to solve an optimization problem and to achieve PI control parameters of SVC and AVR simultaneously. Simulation studies show the control effect and robustness of the proposed coordinated SVC and AVR. © 2010 Elsevier Ltd. All rights reserved.
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Robust fixed-structure cascade controller for a quadratic boost converter
(2010-12-01)
Srithongchai, Pitsanu
;
Kaitwanidvilai, Somyot
In this paper, a new technique for designing a robust cascade controller for a quadratic boost converter is proposed. A performance index in H infinity loop shaping control, stability margin, is adopted as the objective function in our optimization control problem; GA is used to solve this problem to evaluate the optimal controller. Conditions of cascade control are adopted as constraints in our optimization problem. In addition, pre-compensator weight which is normally difficult to be selected is simultaneously determined with the controller. Comparative study with the conventional H infinity loop shaping is presented. Finally, simulation results verify the effectiveness of the proposed technique.

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