Kaitwanidvilai, Somyot

Preferred name

Alternative Name

Kaitwanidvilai, S.

Main Affiliation

School of Engineering

somyot.ka@kmitl.ac.th

Now showing 1 - 10 of 71

Some of the metrics are blocked by your
consent settings
Reliability Design Optimization of Casing Cap by Sample Test and FEA
(2017-01-01)
Buthgate, Siwawong
;
Saenthon, Anakapon
;
Kaitwanidvilai, Somyot
The parking brake cable in the brake system of a vehicle is an important part in the car. A new material needs to be studied; thus, this paper proposes the analysis and comparison of the results between real testing data and the simulation analysis using a Finite Element model of the part, new casing cap in parking brake cable. To validate and compare the results that can be used practically according to the qualifications and standards, the properties of the new product design, casing cap made from polyamide fiberglass composite, are investigated. By analyzing and comparing these results with the FEA design, the advantages of reduction of the weight and cost in the design process can be achieved. As show in the experimental and simulation results, the error less than 30% of the maximum pull load can be achieved.
Some of the metrics are blocked by your
consent settings
Switching angle design for pulse width modulation AC voltage controller using genetic algorithm and distributed artificial neural network
(2011-07-26)
Jitta, Pattaraporn
;
Kaitwanidvilai, Somyot
;
Ngaopitakkul, Atthapol
This paper proposes a technique to design the switching angles in a PWM AC voltage controller using genetic algorithms (GA) and distributed artificial neural network (ANN). In the proposed technique, GA is used to evaluate the turn on and turn off angles of PWM pattern to reduce the low order harmonic content in PWM output voltage. The results from GA are then used to train the distributed ANN. The advantages gained from the proposed technique are the reduction of complexity of training process and the improvement of the ability of the ANN. In addition, the total harmonic distortion of voltage, which calculated from the low order harmonic content, is adopted in the proposed fitness function. Thus, the load value is not necessary to be known before stating the proposed technique. Simulation results show that the proposed technique is superior to the conventional fixed-duration pulse technique.
Some of the metrics are blocked by your
consent settings
Fixed-structure mixed sensitivity/model reference control using evolutionary algorithms
(2009-01-01)
Srithongchai, Pitsanu
;
Olranthichachat, Piyapong
;
Kaitwanidvilai, Somyot
This paper proposes a mixed sensitivity/model reference control using evolutionary algorithms. The proposed technique can solve the problem of complicated and high order controller of conventional H∞optimal control. In addition, time domain specifications such as overshoot, undershoot, rise time can be incorporated in the design by formulating the appropriate fitness function of compact genetic algorithms. By the proposed approach, robustness and performance in terms of frequency domain and time domain specifications can be achieved simultaneously. Simulation results in a servo system verify the effectiveness of the proposed technique.
Some of the metrics are blocked by your
consent settings
A new directional relay algorithm for the protection of transmission network systems using discrete wavelet transforms
(2010-12-01)
Ngaopitakkul, A.
;
Kaitwanidvilai, S.
This paper proposes a novel directional relay algorithm to protect transmission network systems with an application of discrete wavelet transform (DWT). The fault signals are simulated using PSCAD/EMTDC. The coefficients of the positive sequence current obtained from each bus are compared in order to identify the direction of fault signals. The coefficient ratio between buses that the fault occurred is calculated so that the proper protective relay sequence can be selected. The result is shown that the algorithm is capable of performing the fault detection as well as arranging the protective relay sequence, with accurate results. ©2010 IEEE.
Some of the metrics are blocked by your
consent settings
A novel robust load frequency controller for a two area interconnected power system using LMI and compact genetic algorithms
(2009-12-01)
Koisap, Chamnan
;
Kaitwanidvilai, Somyot
This paper proposes a new technique for designing a fixed-structure robust load frequency controller for a two area interconnected power system. The proposed technique uses Linear Matrix Inequality (LMI) method to form an initial solution, and then the global search algorithm, Compact Genetic Algorithm (cGA), is adopted for evaluating the final solution. By combining both techniques, LMI and cGA, a better solution in terms of robust performance can be achieved. Infinity norm from disturbances to states are formulated as the cost function in our optimization. The performance of the designed system is investigated in comparison with the conventional H infinity loop shaping controller, the robust controller designed by LMI method and the reduced order robust controller by Hankel norm model reduction method. As results indicated, stability margin of our proposed controller is better than that of the static controller designed by LMI method and the reduced order robust controller. In addition, order of the proposed controller is much lower than that of conventional robust loop shaping controller, making it easy to implement in practice. ©2009 IEEE.
Some of the metrics are blocked by your
consent settings
PSO based decentralized robust power system stabilizer for a multi-machine power system
(2012-06-12)
Kaitwanidvilai, Somyot
;
Ussawapusitgul, Chanchai
;
Limcharoen, Worrakan
This paper presents a new technique to design a robust Power System Stabilizer (PSS) in multi-machine power system. The Particle Swarm Optimization (PSO) is adopted to find the optimal parameters of the predefined structure decentralized controller. The main objectives of this research are to reduce the oscillation and to increase the overall robust performance of the system. The proposed technique adopts the stability margin (ε) as the index of robustness and performance of the controlled system. In addition, the optimal weight selection, which is a difficult process of the robust loop shaping design, can be achieved by the proposed technique. In this paper, the performance of the proposed controller is investigated in the standard IEEE four generators system in comparison with the classical robust loop shaping control. The results of rotor speed deviation of generators by the proposed PSS and the conventional PSS verify the effectiveness of the proposed algorithm.
Some of the metrics are blocked by your
consent settings
Enhancing the performance of fixed-structure robust loop shaping control using genetic algorithm approach
(2011-07-26)
Olranthichachat, Piyapong
;
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.
Some of the metrics are blocked by your
consent settings
Automatic design of robust PSS for multimachine power system using PSO
(2011-12-01)
Ussawapusitgul, Chanchai
;
Kaitwanidvilai, Somyot
This paper presents a new technique to design a robust Power System Stabilizer(PSS) in multi-machine power system. The Particle Swarm Optimization(PSO) is adopted to find the optimal parameters of the predefined structure decentralized controller. The main objectives of this research are to reduce the oscillation and to increase the overall robust performance of the system. The proposed technique adopts the stability margin (ε) as the index of robustness and performance of the controlled system. In addition, the optimal weight selection, which is a difficult process of the robust loop shaping design, can be achieved by the proposed technique. In this paper, the performance of the proposed controller is investigated in the standard IEEE four generators system in comparison with the classical robust loop shaping control. The results of rotor speed deviation of generators by the proposed PSS and the conventional PSS verify the effectiveness of the proposed algorithm. © 2011 IEEE.
Some of the metrics are blocked by your
consent settings
Microprocessor based fuzzy MPPT for PV-AC module DCM-flyback Inverter
(2013-01-01)
Konghuayrob, Poom
;
Kaitwanidvilai, Somyot
This paper proposes a maximum power point tracking using fuzzy based perturb and observe (P&O) algorithm for a photovoltaic (PV) system (an AC module). In AC module flyback inverter, modulation index (Δma) are adopted as a control variable to track the maximum power point (MPP) of PV array. In the conventional technique, step size of modulation index (Δma) is adopted in the simple P&O technique; Although this technique is easy to be implemented but there is some problems regarding large oscillation around the MPP and slow tracking when improper step size is selected. The proposed technique, fuzzy based P&O technique, is adopted to provide non-equal step size of Δma. The proposed fuzzy system was programmed on microcontroller which is a low cost processing device. Experimental result confirms that the proposed system can effectively track the power from PV system, and is better than the conventional technique.
Some of the metrics are blocked by your
consent settings
Robust control design for three-phase power inverters using genetic algorithm
(2011-08-12)
Nimpitiwan, N.
;
Kaitwanidvilai, S.
This paper proposes a new technique to design a fixed-structure robust controller for grid connected inverter systems. The proposed technique applies the Genetic Algorithm to evaluate the optimal controller parameters. The integral squared error (ISE) of the controlled system is minimized and the robust performance (RP) of the system is satisfied. In the proposed design, the structure of controller is specified as a decentralized PI controller which is preferred for practical implementations. Simulation results show that the proposed technique is promising. © 2011 IEEE.

Kaitwanidvilai, Somyot

Filters

Settings

Sort By

Results per page