Search Results - (( developing code optimization algorithm ) OR ( driving simulation optimization algorithm ))
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Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…In order to increase the system efficiency and maximize the power generation, constructed operation models were optimized. To determine the optimum solution in each policy, real coded genetic algorithm is used as an optimization technique. …”
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Improved Direct Torque Control (DTC) Performances Of Induction Machine Using Cascaded H-Bridge Multilevel Inverter
Published 2017“…The proposed DTC control algorithm can be optimally executed at high computation rate by totally using C-coding with DS1104 controller board. …”
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A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive
Published 2023Article -
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Optimized speed controller for induction motor drive using quantum lightning search algorithm
Published 2023Conference Paper -
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Multi-objective optimization of all-wheel drive electric formula vehicle for performance and energy efficiency using evolutionary algorithms
Published 2020“…A new method based on constraint multi-objective optimization using evolutionary algorithms is proposed to optimize the powertrain design of a battery electric formula vehicle with an all-wheel independent motor drive. …”
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Low Complexity Error Correction in Low Density Parity Check (LDPC) Code Decoder and Encoder for Decode and Forward Cooperative Wireless Communication
Published 2021“…The initial investigation on the existing LDPC code decoding algorithms assists to develop a low complexity LDPC code decoding algorithm. …”
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Deep Reinforcement Learning For Control
Published 2021“…The improved algorithm will help encourage the real-world implementation of DRL in many autonomous driving applications.…”
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Monograph -
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
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Natural gas liquid (NGL) distillation process using driving force and thermal pinch analysis methods: Energy and economic assessment / Munawar Zaman Shahruddin ... [et al.]
Published 2020“…Then, the extracted data from the simulation will be used for thermal pinch analysis via problem table algorithm (PTA). …”
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Efficiency optimization of variable speed induction motor drive using online backpropagation
Published 2006“…In this paper the designs of a back propagation based efficiency optimization control (BPEOC) for variable speed compressor induction motor drive is described. …”
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Conference or Workshop Item -
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Study of optimal EG placement in radial distribution system using real coded genetic algorithm
Published 2011“…This paper proposes a study of embedded generation (EG) placement in radial distribution system by utilizing real coded genetic algorithm (RCGA) technique. Several cases of EG models placements are studied in order to minimize the total power losses and to improve voltage profiles of the system. …”
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Conference or Workshop Item -
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Online DE optimization for Fuzzy-PID controller of semi-active suspension system featuring MR damper
Published 2022“…The offline design of the Fuzzy algorithm cannot cope with unexpected real-time vibrations occurred while driving a car in different road profiles. …”
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Development of optimal energy management topology for battery electric vehicle with load segmentation
Published 2020“…The incorporation of load segmentation into EMS topology has significantly improved the organization of energy flow management between supply and load. The simulation tests in New European urban and extra urban driving (NEDC) has successfully verified the optimal energy consumption with a saving of 18.6% in energy or an increase of 28.5% (17.22 km) in driving range cumulatively. …”
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Particle swarm optimization technique of current tracking controller for electric power-assisted steering system
Published 2015“…In this case, three test procedure are done to show the performance of current tracking controller in different situations, also the current tracking performance with Particle Swarm Optimization (PSO)-PID controller compared to previous research that used Ant Colony Optimization (ACO)-PID controller [1] to show the percentage of error between reference motor current and actual motor current of proposed PSO optimization algorithm with 0.023% is much less than previous worked (ACO optimization algorithm) with 4.76%.So the proposed control strategy can improve otor current tracking performance in electric powers assisted steering (EPAS) systems.…”
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OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
Published 2023“…To evaluate the effectiveness of the proposed EMS, extensive simulations are performed using different drive cycles, considering various input parameters. …”
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Final Year Project Report / IMRAD -
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PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
Published 2013“…Simulation results shows the performance and effectiveness of using ACO algorithm for PID tuning.…”
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Proceeding Paper -
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A genetic algorithm optimization of hybrid fuzzy-fuzzy rules in induction motor control
Published 2017“…This paper discusses speed control performance of a proposed hybrid fuzzy-fuzzy controller (HFFC) in a variable speed induction motor (IM) drive system. With respect to finding the rule base of the fuzzy controller, a simple genetic algorithm (GA) is employed to resolve the problem of optimization to diminish an objective function, i.e., the Integrated Absolute Error (IAE) criterion. …”
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Investigation on pattern based Algorithm for division by a constant number using Verilog code for optimization on the Nelust results
Published 2015“…One of the alternatives is by replacing it with cheaper adder and shifter to compute the same result. The research is to develop an algorithm of unsigned constant division via add-shift method using Verilog code. …”
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Research Report -
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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