Depaiwa, Nattawoot
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Depaiwa, Nattawoot
Alternative Name
Depaiwa, N.
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nattawoot.de@kmitl.ac.th
4 results
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Item type:Publication, Development and Design Structure and Mechanism of Sugarcane Harvester with Leaf Pruning Machine(2023-01-01) ;Jukgoljun, Wisawa ;Moonumca, PisanThe purpose of this research is to design, develop, and analyze the damaged structure and mechanism of sugarcane harvesters, then find suitable materials to use for sugarcane harvesters that respond to the needs of farmers. Nowadays, sugarcane harvesters are quite expensive. Consequently, most people prefer to harvest sugarcane by burning the leaves before cutting, which causes air pollution. The authors decided to start designing and developing the whole sugarcane cutting machine. The leaves and stems can be cut with a machine that only uses power from the power take-off shaft. The authors also analyzed the properties that affected the experiment's results. It can be concluded that in terms of the material, the properties should be considered as follows: The tensile value should be greater than 3700 psi and the shear strength should be at least 10000 psi to prevent material damage from turning and pruning leaves. Hardness, meanwhile, should be lower than Rockwell M110, so the material will not cause cane damage. The Flexural Modulus of Elasticity value is about 450,000 psi. The harvesters should be connected to a tractor that has 67 horsepower or more. The whole structure works as a whole system, with no parts broken during the 48-hour trial. The machine was optimally operated using 540 rpm. of power from the power shaft. The speed of the base-cutting, using the finish-made cutter, was 337.5 rpm. The nylon lawn trimmer is the best leaf pruning tool. It is because its softness did not cause the sugarcane any damage while having no tangle in its use, which led to an improvement of the machines. Results showed that harvesters can harvest up to 300 sugarcanes per hour using this machine. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adaptive PID for controlling a quadrotor in a virtual outdoor scenario: Simulation study(2013-11-25) ;Moonumca, Pisan; The main purpose of this paper is to develop a robust control methodology for unmanned aerial vehicles such as a quadrotor. A conventional proportional-integral-derivative (PID) controller is augmented with adaptive K<inf>P</inf> or non-adaptive K<inf>P</inf> in a throttle input and the both cases are compared and analyzed. Adaptive K<inf>P</inf> is suitable for a system which is subjected to parameter uncertainty, such as variation in payload or wind speed, as the algorithm is able to adjust the K<inf>P</inf> gain of the PID controller so that they maintain robustness and performance. The performance results of the two controllers when applied to a quadrotor are demonstrated using numerical simulation. © 2013 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The force tracking control of electro-hydraulic system based on particle swarm optimization(2016-01-01) ;Moonumca, PisanThis paper presents the optimal gains of backstepping controller by using the particle swam optimization technique. The mathematical model is developed by Newton’s second law, compressible fluid flow and flow rates of valve. The control law is formulated by employing a Control Lyapunov Function. The core feature of this paper is the combination of the backstepping and particle swam optimization for optimal performance of controller. The controller gains are determined in automatic selection gains by minimizing the integral of time multiplied by absolute error function on step input. The fitness value can be guaranteed to the convergence of controller gains. The implementations are separated into two cases which are the real and estimated state feedbacks. The experiment has illustrated to find optimal controller gains. The results are also compared with the tracking response of real and estimated state measures in step and square signal. The results show a better tracking performance by using the strong particle swarm optimization (PSO) algorithm. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Tuning PID controller using genetic algorithms for electro-hydraulic system with tracking force control(2014-01-01) ;Moonumca, Pisan; The aim of this paper is design a controller for force control of an Electro-Hydraulic System and selection of a PID gains are using genetic algorithm. The mathematical model is considered as the Newton second law and compressible fluid flow theory. This paper compares two kinds of tuning methods for PID controller. One is the controller design by the genetic algorithm, second is the controller design by the Ziegler and Nichols method. Each PID gains are tested with step input function, square signal, half-sine signal and half-saw signal. And results show performance index with rise time, settling time and Maximum %OS. It was found that the proposed PID gains tuning by the genetic algorithm is better than the Ziegler & Nichols' method. © (2014) Trans Tech Publications, Switzerland.
