39233 research outputs found
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UMPSA berjaya selesaikan Penilaian Tapak Pertama Akreditasi APACC
Full text linkPEKAN, 19 Mac 2025 - Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) berjaya menyelesaikan akreditasi pertama oleh Asia Pacific Accreditation and Certification Commission (APACC) baru-baru ini
Position tracking of DC motor with PID controller utilizing particle swarm optimization algorithm with lévy flight and doppler effect
Full text linkThis paper presents the implementation of the particle swarm optimization with the Lévy flight Doppler effect (PSO-LFDE) algorithm for optimizing proportional-integral-derivative (PID) controller parameters in a direct current (DC) motor system. Traditional optimization algorithms like particle swarm optimization, whale optimization algorithm, grey wolf optimizer, and moth flame optimization often face challenges in balancing exploration and exploitation, leading to suboptimal performance. The proposed PSO-LFDE algorithm addresses these issues by incorporating Lévy flight for enhanced exploration and the Doppler effect for refined exploitation. The algorithm is validated using MATLAB/Simulink for position control in a DC motor system with step inputs of 10, 30, and 60 cm. Key performance metrics, including rise time, settling time, peak time, and steady-state error, were compared against other optimization methods. PSO-LFDE demonstrated superior performance, achieving a 41.63% improvement in rise time and a 70.20% reduction in peak time compared to other methods. These results highlight PSO-LFDE's effectiveness in optimizing PID controller parameters and improving the dynamic response of DC motor systems, offering a robust solution for real-world control applications
Steel fiber performance in reinforced concrete deep beams with mid-span web opening
Full text linkOpening on reinforced concrete beams is sometimes crucial to allow for the pipelines of electrical circuits. These openings will affect the strength and ductility of the beams. This paper presents the effect of adding steel fiber to cater the loss due to the mid-span web opening in reinforced concrete deep beams. Two amount of fibers volume fractions was considered (1% and 2%) with two different opening shapes (square and rectangular). One beam without opening was casted as a control beam. On the other hand, three beams with square opening and three beams with rectangular opening were also casted. Each beam catered for each amount of steel fiber content of 0%, 1% and 2%. The beams were tested under four-point bending test to failure. It was observed that the size or shape of the opening greatly decreased the beams' ability to support loads. Additionally, the strength and ductility of the reinforced concrete deep beams with mid-span web opening were enhanced by the inclusion of steel fiber, which made them similar to the control beam (without opening)
Keindahan pokok Tecoma, ibarat Sakura di Jepun serikan UMPSA Pekan
Full text linkPEKAN, 11 April 2025 – Keindahan pokok Tecoma merah muda yang sedang mekar sekitar kampus Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) Pekan menarik perhatian warga kampus dan para pengunjung
Meriahnya Raya UMPSA, lebih 1,500 warga kampus raikan Aidilfitri
Full text linkPEKAN, 14 April 2025 – Suasana penuh meriah dan kemesraan jelas terpancar di wajah lebih 1,500 warga Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) yang membanjiri Dewan Serbaguna UMPSA Pekan sempena Majlis Sambutan Aidilfitri Peringkat Universiti hari ini
Improved smoothed functional algorithmsoptimized pid controller for efficient speed regulation of wind turbines
No full textThe stochastic behaviour of wind speed and the turbulence that develops between turbines are common factors that induce stress in wind turbines. PID controllers are widely used as a speed control strategy to manage this wind turbulence optimally due to their simplicity and effectiveness in regulating rotor speed and system stability under fluctuating wind speed. However, existing PID speed control strategies often struggle to handle wind fluctuation, increasing interest in adopting improved optimization methods to fine-tune PID controller. This will enhance the wind turbine system response while preserving the robustness and simplicity of the PID controller. Meanwhile, existing traditional optimization methods for PID tuning require a substantial number of function evaluations (NFE), resulting in a high computational load. This study introduces a novel approach for PID controller tuning in wind turbine systems using single-agent optimization methods, specifically the memory smoothed functional algorithm (MSFA) and norm-limited smoothed functional algorithm (NL-SFA). Unlike conventional techniques, the proposed approach significantly reduces the NFE required per iteration, leading to enhanced computational efficiency and improved tuning precision. Moreover, the suggested MSFA and NL-SFA effectively addressed the instability inherent in the smoothed functional algorithm (SFA). The competency of the proposed MSFA-PID and NL-SFA-PID controllers for wind turbine systems was evaluated through simulation, covering statistical analysis, boxplots of integral absolute error (IAE), time-domain integral error-performance indices, transient response analysis, and robustness to parameter uncertainty. The result indicated that the proposed controllers are highly effective in producing better IAE even with less NFE compared to other existing multi-agent-based methods
UMPSA garis 5 Agenda Tranformasi, 17 Anjakan Strategik lonjak kecemerlangan
Full text linkPEKAN, 14 April 2025 - Naib Canselor Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Profesor Dr. Yatimah Alias telah mengetengahkan tema ‘Minda Perkasa, Kekal Relevan’ dalam Amanat Naib Canselor UMPSA 2025 hari ini
Accurate localization method combining optimized hybrid neural networks for geomagnetic localization with multi-feature dead reckoning
Full text linkLocation-based services provide significant economic and social benefits. The ubiquity, low cost, and accessibility of geomagnetism are highly advantageous for localization. However, the existing geomagnetic localization methods suffer from location ambiguity. To address these issues, we propose a fusion localization algorithm based on particle swarm optimization. First, we construct a five-dimensional hybrid LSTM (5DHLSTM) neural network model, and the 5DHLSTM network structure parameters are optimized via particle swarm optimization (PSO) to achieve geomagnetic localization. The eight-dimensional BiLSTM (8DBiLSTM) algorithm is subsequently proposed for heading estimation in dead reckoning, which effectively improves the heading accuracy. Finally, fusion localization is achieved by combining geomagnetic localization with an improved pedestrian dead reckoning (IPDR) based on an extended Kalman filter (EKF). To validate the localization performance of the proposed PSO-5DHLSTM-IPDR method, several extended experiments using Xiaomi 10 and Hi Nova 9 are conducted in two different scenarios. The experimental results demonstrate that the proposed method improves localization accuracy and has good robustness and flexibilit
UMPSA strengthens global engagement at APAIE 2025 in Delhi
Full text linkDELHI, INDIA, 25 March 2025 – Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) continued to elevate its international profile through participation in the Asia-Pacific Association for International Education (APAIE) 2025 Conference, held from 25 to 27 March 2025 at the India International Convention and Expo Centre (IICC), New Delhi
Program Plogging sempena Hari Bumi 2025 himpun 564 kg sampah di Pantai Tanjung Gosong
Full text linkPEKAN, 25 April 2025 – Pusat Pembangunan Kelestarian SDG/ESG (SDC), Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) dengan kerjasama Open University Malaysia (OUM) Kuantan dan Pahang Skills Development Centre (PSDC) telah menganjurkan program Plogging di Pantai Tanjung Gosong, Pekan, Pahang sebagai inisiatif menyokong sambutan Hari Bumi Sedunia 2025