43 research outputs found

    Implementation of Active Force Control to Reduce Vibration Displacement in Active Mass Damper during Seismic Activity

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    High structure in this world are using damper as a vibration controller device. The vibration control in a building is very important due to the public safety. In this study, Active Mass Damper (AMD) is used as a buildingā€™s structure and tested using Active Force Control (AFC) during the seismic activity. By using a software, two dimensional mathematical models and transfer function, stability of AMD and stability of AMD with AFC was identified, respectively. From the analysis, without AFC, the vibration displacement of AMD is slightly proportional due to amplitude and time. With AFC, the overshoot of the AMD system was reduced to 0% and the relationship between vibration displacement , amplitude and time was nonlinear for each others. For a conclusion, the AFC has a potential to reduce the relationship between vibration, amplitude and time and can gives AMD system more stable

    Development of a Free-Free Transverse Beam Model Using Lateral Vibrations of Beam Conventional Method during Seismic Activity

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    This paper expresses the derivation of Free-Free Transverse Beam Model using lateral vibration of beam conventional method during Seismic Activity. Derivation from three mathematical models gives coshĪ²LcosĪ²L = 1. Then by numerical software, the graph of those mathematical models is plotted. From the plots, and using equations, the natural frequencies of those three models are identiļ¬ed at values of 389.5 rad/s, 2440.9 rad/s, and 6825 rad/s for Ļ‰ respectively

    PID Controller for Vibration Reduction and Performance Improvement of Handheld Tools

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    This paper proposes a PID Controller to mprove handheld tools performance and at the same time reduce vibration occurs during its operation. Two experiments has been setup to record vibration of handheld drill using accelerometer placed at certain points of the hand drill. Through experiment, the obtained data was analyzed using Fast Fourier Transform (FFT) and Operational deflection shape (ODS) technique and the data being verify which gives the natural frequency at 476.07Hz which is 5.7% higher that theoretical value. From the data the PID controller is designed and tunes using Ziegler Nichols method which gives peak amplitude at 0.0144 and settling time at 0.45s. From the result it is believed that this proposed controller can reduce the vibration and give good improvement to the handheld tool performance

    Real Time Cascade PI Control for Position Monitoring of DC Brushed Motor

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    This paper depicts the development of real time motor drive system. The modeling of Direct Current (DC) motor is vital in this work and hence is discussed in brief. Experimental setup consists of DC motor, rotary encoder, interface card and personal computer is thoroughly configured to obtain useful data such as control signal, speed and position of the motor. User interface and control algorithm is developed using Microsoft Visual C#. Proportional-Integral (PI) algorithm is developed to perform cascaded control of the DC motor. The system equipped with fixed inner current loop control parameters while the outer speed and position loop is varied to obtain the most satisfied position and speed of such motor. Through comparison of demanded speed and position, literal analysis of real time speed and position is thoroughly discussed

    The New Generation of Building Control Concept to Suppress the Horizontal Vibration during the Earthquake

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    Most of the current researches are to suppress the vibration during the earthquake for the building and always focused on either full state feedback strategies or velocity strategies. An accurate measurement is a necessary such as displacement and the velocities of the building are difficult to achieve directly, particularly during the seismic activity. In this study, it was proposed that the new generation of building control concept to suppress the horizontal vibration during the earthquake by using an active mass damper (AMD) system. The Lagrangeā€™s, Dā€™Alembertā€™s and Newton Second Law techniques are used to derive the two dimensional mathematical model of second order differential equation of AMD system. Four diagrams of stability analysis were used to identify the stability of the system before making an experimental and simulation analysis. Regarding the stability analysis, AMD system is good enough to give a positive feedback during the application of the force of vibration. Then, by using MATLAB-SIMULINK, the model was analyzed again in an experimental and simulation analysis. In this analysis, both of the result is reasonably closed where the correlation is more than 95 percent, and this would give positive responses such as time response and amplitude in order to suppress a vibration during the earthquake disaster

    Modelling and PSO Fine-tuned PID Control of Quadrotor UAV

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    This paper describes nonlinear dynamics model of x-configuration quadrotor using Newton-Euler modelling technique. To stabilize quadrotor attitude (roll (Ļ•), pitch (Īø), yaw (Ļˆ)) during hovering, a PID controller is proposed. There is individual PID controller for each roll, pitch, yaw and z where 12 parameters consist of kp, ki, and kd are fine-tuned using particle swarm optimization algorithms. From the simulation, the sum absolute error fitness function give the best optimize result where quadrotor achieve zero steady state error for hovering with 18.9% overshoot, and 4.42s settling time. Accordingly, for attitude stabilization, roll angle, pitch angle, and yaw angle converge to the set point, zero approximately with settling time 2.76s, 0.1s and 3.2s respectively

    Position and attitude tracking of MAV quadrotor using SMC-based adaptive PID controller

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    A micro air vehicle (MAV) is physically lightweight, such that even a slight perturbation could affect its attitude and position tracking. To attain better autonomous flight system performance, MAVs require good control strategies to maintain their attitude stability during translational movement. However, the available control methods nowadays have fixed gain, which is associated with the chattering phenomenon and is not robust enough. To overcome the aforementioned issues, an adaptive proportional integral derivative (PID) control scheme is proposed. An adaptive mechanism based on a second-order sliding mode control is used to tune the parameter gains of the PID controller, and chattering phenomena are reduced by a fuzzy compensator. The Lyapunov stability theorem and gradient descent approach were the basis for the automated tuning. Comparisons between the proposed scheme against SMC-STA and SMC-TanH were also made. MATLAB Simulink simulation results showed the overall favourable performance of the proposed scheme. Finally, the proposed scheme was tested on a model-based platform to prove its effectiveness in a complex real-time embedded system. Orbit and waypoint followers in the platform simulation showed satisfactory performance for the MAV in completing its trajectory with the environment and sensor models as perturbation. Both tests demonstrate the advantages of the proposed scheme, which produces better transient performance and fast convergence towards stability

    Road Vehicle Following System With Adaptive Controller Gain Using Model Reference Adaptive Control Method Lyapunov Approaches

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    In order to maintain stability and satisfy operating constraints, the control system on the following vehicle needs information about the motion of preceding vehicle. A one-vehicle look-ahead control strategy is proposed and will be investigated for this operation. A mathematical model for this control strategy is obtained and simulated. This paper describes the process of designing an adaptive controller gain for a road vehicle following system using two Lyapunov approach. One approaches utilizes the perfect modelling while the other does not. This is done through simulations and comparisons and is further discussed to find the effectiveness of the two Lyapunov approaches

    DEVELOPMENT OF LOW COST PORTABLE ANTI-THEFT DEVICE (PATD)

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    This paper discussed about the development of low cost Portable Anti-Theft Device (PATD) that able to reduce the issue in snatch-theft, property lost due to leaving it behind, misplace and to monitor the children movement in public area. This device consists of two parts that are the transmitter and receiver controlling circuit which communicate by RFID technology application. It also equipped with a high volume triggering alarm system that activates when the range between the transmitter and the receiver circuits reach a specific distance. It is hope that with this PATD can reduced the issues of theft and snatching crime as well as preventing from loss, injuries and missing

    Malaysian Vehicle License Plate Recognition Using Double Edge Detection

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    Vehicle plate number is a unique combination of characters and numbers. Hence, it has been used in various application as personal identification such as for parking system identification, security monitoring system and etc. This paper illustrated the double edge detection technique in order to enhance the vehicle plate image, before character recognition process. Firstly, the vehicle image is captured, and then it will be re-sized and cropped until the resolution of image is 300Ɨ300. After the re-sized process, First Edge detection is applied to the image. Threshold of black and white are 59 and 60 respectively used to change the image into black and white colour only. Next, Second Edge detection is used to remove the unwanted image and only remain the plate number in white colour. MATLAB software is used in this experiment
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