Search Results - ((motion optimization) OR (simulation optimization)) techniques

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  1. 1

    DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING by K. S. , Rama Rao, Azrul, Hisham Bin Othman

    Published 2007
    “…This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a Brushless DC Motor (BLDC) widely used in many industrial motion control apparatus and systems. …”
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  2. 2

    Design optimization of a bldc motor by genetic algorithm and simulated annealing by K.S.R., Rao, A.H.B., Othman

    Published 2007
    “…This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a Brushless DC Motor (BLDC) widely used in many industrial motion control apparatus and systems. …”
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  3. 3

    An enhanced motion planning method for industrial robots based on the digital twin concept by Rui, Fan

    Published 2025
    “…With the rapid advancement of global digital transformation and smart manufacturing strategies, industrial robots and Digital Twin(DT) technologies have emerged as core drivers in promoting intelligent manufacturing upgrades, enhancing production efficiency, and optimizing workforce allocation. Motion planning for industrial robots based on DT technology helps improve trajectory accuracy, optimize operational efficiency, and reduce physical debugging risks. …”
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    Thesis
  4. 4

    Image restoration techniques for removal of blurred images / Ameer Naeemi Zyarah by Ameer, Naeemi Zyarah

    Published 2017
    “…In this study, four different techniques are used to remove the motion blur. They are Direct Inverse filter, Wiener filter, Constrained Least Squares filter, and Lucy Richardson algorithm, to restore degraded image (motion blurred image). …”
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  5. 5

    Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm by Iznora Aini Zolkifly

    Published 2022
    “…The proposed technique emphasised the need of avoiding sudden obstacles by including the bounding circle mechanism and a vision-based method into the free-path environment in order to achieve optimal and better exploration in crowded conditions. …”
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  6. 6

    A Metaheuristic Optimization Using Explosion Method On A Hybrid Pd2-Lqr Quadcopter Controller by Raihan, Mohamad Norherman Shauqie Mohamed

    Published 2021
    “…This study aims to develop an effective optimal control technique to control and stabilize the quadrotor's altitude and attitude motion. …”
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  7. 7

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…Finally, an adaptive neuro-fuzzy inference system (ANFIS) was designed which constructs and optimizes a fuzzy logic controller using a given dataset of input/output variables in order to increase the optimality and stability rates of the proposed path planning algorithm. …”
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  8. 8

    Kinetic facade design to enhance daylight performance for office building in Malaysia by Moesas, Omran Subhi, Alias, Nor Azlina, Azlan, Aznida

    Published 2021
    “…Base cases simulations and simulations for a specific classification of rotation angles and size variable were conducted in first phase through parametric optimization process. 50 cm of radius façade size and 20° of rotation’s angle reached outcome that achieve LEED v4.1 demands. a comparative simulation was conducted in second phase between the previous optimized result which exemplify the static base case with proposed dynamic system where second phase is a current development of phase one. …”
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    Article
  9. 9

    Liquid Slosh Control By Implementing Model-Free PID Controller With Derivative Filter Based On PSO by Mohd Tumari, Mohd Zaidi, Zainal Abidin, Amar Faiz, A Subki, A Shamsul Rahimi, Ab Aziz, Ab Wafi, Saealal, Muhammad Salihin, Ahmad, Mohd Ashraf

    Published 2020
    “…The aim of this article is to develop the tuning technique for model-free PID with derivative filter (PIDF) parameters for liquid slosh suppression system based on particle swarm optimization (PSO). …”
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    Article
  10. 10

    Two level Differential Evolution algorithms for ARMA parameters estimatio by Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila, Aibinu, Abiodun Musa

    Published 2013
    “…The performance of the algorithm is evaluated using both simulated ARMA models and practical rotary motion system. …”
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    Proceeding Paper
  11. 11

    Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO by Mohd Zaidi, Mohd Tumari, Amar Faiz, Zainal Abidin, A. Shamsul Rahimi, A. Subki, Ab Wafi, Ab Aziz, Muhammad Salihin, Saealal, Mohd Ashraf, Ahmad

    Published 2020
    “…The aim of this article is to develop the tuning technique for model-free PID with derivative filter (PIDF) parameters for liquid slosh suppression system based on particle swarm optimization (PSO). …”
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  12. 12

    Responsive surging, heading and diving controls of autonomous underwater vehicle based on brute forcing and smoothing of controllers by Yahya, Mohd Faid, Arshad, Mohd Rizal, Majid, Mad Helmi

    Published 2021
    “…However, for PID and SMC in particular, it is difficult to determine the optimal control design parameters. The objective of this study is to design and develop a responsive motion control system with optimal parameters for an AUV. …”
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  13. 13

    Inverse model based control for a twin rotor system by Toha, Siti Fauziah, Tokhi, M. O.

    Published 2010
    “…To demonstrate the applicability of the methods, a simulated hovering motion of the TRMS, derived from experimental data is considered. …”
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    Proceeding Paper
  14. 14

    PSO approach for a controller based-on backstepping method in stabilizing an underactuated X4-AUV by Nurfadzillah, Harun, Zainah, Md. Zain

    Published 2017
    “…It is necessary to select proper parameters because an improper selection of the parameters may jeopardize the system stability and leads to inappropriate responses. Thus, an optimization technique is required in selecting the optimal parameter for the controller. …”
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  15. 15

    Parameter tuning of sliding mode controller using multi-objective particle swarm optimization in electro-hydraulic actuator system by Chai, Mau Shern

    Published 2021
    “…In order to verify the effectiveness of the proposed SMC with MOPSO strategy, comparison study has been implemented to Proportional Integral Derivative (PID) and SMC controllers with conventional Particle Swarm Optimization (PSO) technique. The simulation results show that the proposed control strategy is able to improve the overshoot percentage of the EHA system by 99.78% and 99.64% as compared to the PSO-PID controller and PSO-SMC respectively. …”
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  16. 16

    PID-PSO DC motor position controller design for ankle rehabilitation system by Azizi, Muhammad Azizul Raziq

    Published 2023
    “…The transfer function is a model in Matlab software to validate the performance of the control system through simulation compared with real-time experiments. Next, the control algorithms are proposed to design and implement the Proportional-Integral-Derivative (PID) with Particle Swarm Optimization (PSO) controller technique for optimal Proportional (Kp), Integral (Ki) and Derivative (Kd) gains. …”
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  17. 17

    A two-wheel mobile robot platform for simulating and understanding spacecraft attitude dynamics and control by Pebrianti, Dwi, Abd Halim, Amir Ariff, Jais, Amirullah, Muhammad Nadzri, Mohamad Mukri Najmi, Samad, Rosdiyana, Bayuaji, Luhur

    Published 2025
    “…The system exhibited the ability to adjust the motor speed based on the yaw angle, thereby simulating the torque-free motion typical of spacecraft. …”
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    Article
  18. 18

    Gravitational Search Algorithm for Assembly Sequence Planning by Ismail, Ibrahim, Zuwairie, Ibrahim, Hamzah, Ahmad, Mohd Falfazli, Mat Jusof, Zulkifli, Md. Yusof, Sophan Wahyudi, Nawawi, Marizan, Mubin

    Published 2014
    “…In past few years, many optimization techniques have been used to solve the assembly sequence planning problem include Simulated Annealing (SA), Genetic Algorithm (GA), and binary Particle Swarm Optimization (BPSO). …”
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  19. 19

    Articulated robots motion planning using foraging ant strategy by Mohamad, Mohd. Murtadha

    Published 2008
    “…However, the performance of this method is sub-optimal in terms of the number of configurations generated, length of path, amount of collision checking and computational time. …”
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  20. 20

    Advanced theory of peat vehicle mobility by Rahman, Mohammed Ataur, Afroz, Rafia

    Published 2011
    “…The Advanced Theory of Peat vehicle has been written with emphasizing the fundamental engineering principles underlying the determination of the mechanical properties of peat terrain, developing simulation models for optimizing the vehicle design parameters, the rational design and development non guided vehicle more accurately in order to control the vehicle during traversing on unprepared peat terrain both in straight and turning motion. …”
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