Kaitwanidvilai, Somyot
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Preferred name
Kaitwanidvilai, Somyot
Alternative Name
Kaitwanidvilai, S.
Main Affiliation
Email
somyot.ka@kmitl.ac.th
70 results
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Item type:Publication, Reliability Design Optimization of Casing Cap by Sample Test and FEA(2017-01-01) ;Buthgate, Siwawong; 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 yourconsent settings
Item type:Publication, Switching angle design for pulse width modulation AC voltage controller using genetic algorithm and distributed artificial neural network(2011-07-26) ;Jitta, Pattaraporn; 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 yourconsent settings
Item type:Publication, A new directional relay algorithm for the protection of transmission network systems using discrete wavelet transforms(2010-12-01); 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 yourconsent settings
Item type:Publication, PSO based decentralized robust power system stabilizer for a multi-machine power system(2012-06-12); ;Ussawapusitgul, ChanchaiLimcharoen, WorrakanThis 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 yourconsent settings
Item type:Publication, Robust 2DOF fuzzy gain scheduling control for DC servo speed controller(2016-11-01) ;Chitsanga, NatchanonThis paper proposes a new design method called “robust 2DOF fuzzy gain scheduling control” for a DC servo speed control system. The proposed technique utilizes the basic concept of 2DOF robust loop shaping, whose time-domain specifications are combined during the controller design using a reference model. In addition, the local controllers are fixed- structure robust controllers whose structure can be specified as for a simple controller. A fuzzy approach is adopted in both system identification process and global control structure to accomplish an entirely robust system. Although the design of robust control in a fuzzy system is not easy, genetic algorithms (GAs) simplify the control design problem to design the fuzzy controller such that the average stability margin is minimized. Implementation of a DC servo speed control was adopted to investigate the effectiveness of the proposed controller. As seen from the results, the proposed controller has more robust performance and can be adopted in applications with a wide operating range. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Enhancing the performance of fixed-structure robust loop shaping control using genetic algorithm approach(2011-07-26) ;Olranthichachat, PiyapongThis 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 yourconsent settings
Item type:Publication, Automatic design of robust PSS for multimachine power system using PSO(2011-12-01) ;Ussawapusitgul, ChanchaiThis 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 yourconsent settings
Item type:Publication, Microprocessor based fuzzy MPPT for PV-AC module DCM-flyback Inverter(2013-01-01); 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 yourconsent settings
Item type:Publication, Robust control design for three-phase power inverters using genetic algorithm(2011-08-12) ;Nimpitiwan, N.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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robust fixed-structure cascade controller for a quadratic boost converter(2010-12-01) ;Srithongchai, PitsanuIn 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.
