Academic literature on the topic 'PD Controller; Tracking Efficiency'

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Journal articles on the topic "PD Controller; Tracking Efficiency"

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Adinath, Jain, S.A. Hari Prasad Dr., Dahal Sujata, and Sudi Rajesh. "PD CONTROLLER BASED UNMANNED SHIP NAVIGATION." INTERNATIONAL JOURNAL OF RESEARCH- GRANTHAALAYAH 5, no. 4 RACEEE (2017): 147–54. https://doi.org/10.5281/zenodo.580641.

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For the improvement of the performance of track keeping of unmanned water vehicle numerous ship models, wave disturbances models and distinct control algorithms has been proposed. Researchers are using variants of PID controllers, Adaptive controllers and Predictive controllers for accurate trajectory control. Being simpler in nature still PID controller are popular in control domain. In this paper we have implemented PD based controller for trajectory control of unmanned vehicle considering all standard models of sea disturbances. Analysis of result obtained using PD control proved that path
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Kapoor, Neha, and Jyoti Ohri. "PD-SVM Integrated Controller for Robotic Manipulator Tracking Control." Chinese Journal of Engineering 2014 (February 3, 2014): 1–6. http://dx.doi.org/10.1155/2014/295210.

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Highly precise tracking of a robotic manipulator in presence of uncertainties like noise, disturbances, and friction has been addressed in this particular paper. An integrated proportional derivative and support vector machine (SVMPD) controller has been proposed for manipulator tracking. To illustrate the efficiency of the proposed controller, simulations have been done on a 2-DOF manipulator system. Performance of the proposed controller has been checked and verified with respect to to a simple PID controller and the radial bias neural network proportional integral derivative (RBNNPD) contro
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Abdelghany, Muhammad Bakr, Ahmed M. Moustafa, and Mohammed Moness. "Benchmarking Tracking Autopilots for Quadrotor Aerial Robotic System Using Heuristic Nonlinear Controllers." Drones 6, no. 12 (2022): 379. http://dx.doi.org/10.3390/drones6120379.

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This paper investigates and benchmarks quadrotor navigation and hold autopilots’ global control performance using heuristic optimization algorithms. The compared methods offer advantages in terms of computational effectiveness and efficiency to tune the optimum controller gains for highly nonlinear systems. A nonlinear dynamical model of the quadrotor using the Newton–Euler equations is modeled and validated. Using a modified particle swarm optimization (MPSO) and genetic algorithm (GA) from the heuristic paradigm, an offline optimization problem is formulated and solved for three different co
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Aktas, Ayhan, Hakan Yazici, and Mert Sever. "LMI-based design of an I-PD+PD type LPV state feedback controller for a gantry crane." Transactions of the Institute of Measurement and Control 41, no. 6 (2018): 1640–55. http://dx.doi.org/10.1177/0142331218785683.

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In this paper, an alternative gain-scheduled PID tuning procedure is proposed for gantry crane control systems. In order to avoid excessive overshoot and aggressive control action due to the proportional kick and/or derivative kick effects, an I-PD+PD type control law is considered. The scheduling parameter is considered the cable length due to the payload lifting and lowering movements. A linear parameter-varying (LPV) gantry crane model is constructed to enable gain-scheduled controller design with a linear matrix inequalities (LMIs) framework. Based on the LPV model, a convex optimization p
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Shan, Gao, Li You, Xue Huifeng, and Yao ShuYue. "Robust PD+ Control Algorithm for Satellite Attitude Tracking for Dynamic Targets." Mathematical Problems in Engineering 2021 (July 26, 2021): 1–15. http://dx.doi.org/10.1155/2021/6680994.

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In this paper, a PD + controller combined with the sliding mode surface is proposed to improve system convergence rate and efficiency on control torque for satellite attitude tracking control. A sliding mode surface with the maneuver stage is constructed by the Euler axis; hence, the constant angular velocity is achieved. The PD + controller with the variable structure and auxiliary term is constructed to track the desired sliding mode surface. The Lyapunov function in PD control analysis is modified to simplify stability analysis. Model uncertainty, external disturbance, control torque constr
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Sun, Weiwei, Yubin Jin, Kun Dai, Zhongyuan Guo, and Fei Ma. "Flexible manipulator trajectory tracking based on an improved adaptive particle swarm optimization algorithm with fuzzy PD control." Mechanical Sciences 16, no. 1 (2025): 125–41. https://doi.org/10.5194/ms-16-125-2025.

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Abstract. Trajectory planning for flexible manipulators is a critical area of research in robotics. A trajectory tracking controller can enhance the accuracy of the manipulator's path and reduce vibrations. However, current flexible manipulators remain largely in the research phase, with many studies revealing issues such as poor accuracy in dynamic modeling, weak tracking performance in controller design, and insufficient vibration suppression capabilities. To address these challenges and improve the trajectory tracking performance of the manipulator, this paper focused on vibration suppressi
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Keek, Joe Siang, Ser Lee Loh, and Shin Horng Chong. "Design and Control System Setup of an E-Pattern Omniwheeled Cellular Conveyor." Machines 9, no. 2 (2021): 43. http://dx.doi.org/10.3390/machines9020043.

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The addition of omnidirectional capability and modularization to conveyor systems is an exciting and trending topic in current conveyor research. The implementation of omnidirectional modular conveyors is foreseen as mandatory in the future of conveyor technologies due to their flexibility and efficiency. In this paper, an E-pattern omniwheeled cellular conveyor (EOCC) is first introduced. Camera and image processing techniques are utilized to achieve a centralized system, which is more robust than conventional decentralized systems. In order for cartons to maneuver across the EOCC, a unique m
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Abdulkareem, Ademola, Victoria Oguntosin, Olawale M. Popoola, and Ademola A. Idowu. "Modeling and Nonlinear Control of a Quadcopter for Stabilization and Trajectory Tracking." Journal of Engineering 2022 (October 10, 2022): 1–19. http://dx.doi.org/10.1155/2022/2449901.

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This paper presents an adequate mathematical representation of a quadcopter’s system dynamics and effective control techniques. A quadcopter is an unmanned aerial vehicle (UAV) that is able to do vertical take-off and landing. This study presents a nonlinear quadcopter system’s mathematical modeling and control for stabilization and trajectory tracking. The mathematical model of the system dynamics of the quadcopter is derived using Newton and Euler equations with proper references to the appropriate frame or coordinate system. A PD control algorithm is developed for the nonlinear system for s
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Ho, Chao Ching, and C. L. Shih. "Machine Vision Based Tracking Control of a Ball-Beam System." Key Engineering Materials 381-382 (June 2008): 301–4. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.301.

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The dynamic behavior of a ball-beam system is highly nonlinear and its characteristic is difficult to define. In this paper we present a new ball-beam balancing control system using machine vision to feedback the beam angle and ball position on the beam. Adaptive threshold based continuously mean shift vision tracking algorithm is applied to record the ball position and the beam angle with highly captured frame-rate. The proposed vision tracking algorithm is tolerant to lighting influence, highly computing efficiency and more robust than traditional template pattern matching or edge detection
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Ozhiken, A., A. Tuleshov, K. Ozhikenov, M. S. Mamutov, A. Almazuly, and N. Kanatuly. "Adaptive motion control system for a manipulator." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 95, no. 1 (2025): 160–69. https://doi.org/10.47533/2025.1606-146x.17.

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The article focuses on the development of an adaptive control system for a manipulator to enhance accuracy and stability under parameter uncertainties and external disturbances. The proposed algorithm adjusts system parameters without interrupting operation, effectively responding to slow parameter variations. A comparison was conducted with a PD controller and a torque control regulator. Experiments on a high-speed robot with two degrees of freedom confirmed the algorithm’s high tracking accuracy and robustness against loads, noise, and unmodeled dynamics. The method demonstrates significant
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Dissertations / Theses on the topic "PD Controller; Tracking Efficiency"

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Tseng, Chun-Yen, and 曾俊彥. "A High-Efficiency Digital Controller with Adaptive Tracking Estimation and Predictive Dither Modulation for Dynamic Output Buck Converter." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/29971997754105228855.

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Book chapters on the topic "PD Controller; Tracking Efficiency"

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Xu, Xin, Xuening Wang, and Dewen Hu. "Mobile Robot Path-Tracking Using an Adaptive Critic Learning PD Controller." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28648-6_5.

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Bui, Thanh Luan. "Decentralized Motion Control for Omnidirectional Mobile Platform—Tracking a Trajectory Using PD Fuzzy Controller." In AETA 2015: Recent Advances in Electrical Engineering and Related Sciences. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27247-4_67.

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Tian, Baiyu, Tianliang Lin, Chunhui Zhang, Zhongshen Li, Shengjie Fu, and Qihuai Chen. "Mixed Linear Quadratic Regulator Controller Design for Path Tracking Control of Autonomous Tracked Vehicles." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_10.

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AbstractWith the advancements in autonomous driving technology, artificial intelligence and computer science have facilitated the autonomous operation of machinery. Industrial production efficiency is enhanced by this autonomy in construction machinery. Furthermore, personal safety for machine operators is also improved. Among these advancements, path tracking control emerges as a critical component for the automation of construction machinery. It primarily focuses on the lateral and longitudinal control of the machinery, enabling stable tracking of a predefined path even under challenging ope
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Schäfer, Alexander, Gerd Reis, and Didier Stricker. "Controlling Continuous Locomotion in Virtual Reality with Bare Hands Using Hand Gestures." In Virtual Reality and Mixed Reality. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16234-3_11.

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AbstractMoving around in a virtual world is one of the essential interactions for Virtual Reality (VR) applications. The current standard for moving in VR is using a controller. Recently, VR Head Mounted Displays integrate new input modalities such as hand tracking which allows the investigation of different techniques to move in VR. This work explores different techniques for bare-handed locomotion since it could offer a promising alternative to existing freehand techniques. The presented techniques enable continuous movement through an immersive virtual environment. The proposed techniques a
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Kumar, Adarsh, Raj Gopal Mishra, Sumit Kumar, and Omkar Singh Kardam. "An Augmentation in Energy Efficiency for GridCoupled PV System by IT3FLC Controller-Based MPPT." In Demystifying Emerging Trends in Green Technology. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815324099125030035.

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Photovoltaic arrays can achieve their maximum power point (MPP) under any circumstances through the utilization of a technique called maximum power point tracking (MPPT). Field-Programmable Logic Controllers (FLCs), such as IT1FLC, IT2FLC, and IT3FLC, offer the most efficient means of monitoring Maximum PowerPoint Tracking (MPPT). The research introduces a novel T3FL near method that enhances tracking accuracy and speed by addressing the ambiguity caused by instabilities. The suggested system consists of a photovoltaic module, a battery, a resistive load, and a maximum power point tracking (MP
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Pires, Danúbia Soares, and Ginalber Luiz de Oliveira Serra. "Robust Fuzzy Digital PID Controller Design." In Handbook of Research on Artificial Intelligence Techniques and Algorithms. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7258-1.ch008.

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A robust fuzzy digital PID control methodology based on gain and phase margins specifications is proposed. A mathematical formulation based on gain and phase margins specifications, the Takagi-Sugeno fuzzy model of the process to be controlled, the structure of the digital PID controller, and the time delay uncertain system are developed. A multiobjective genetic strategy is defined to tune the fuzzy digital PID controller parameters, so the gain and phase margins specified to the fuzzy control system are found. An analysis of necessary and sufficient conditions for fuzzy digital PID controlle
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Alyoussef, Fadi, and Ayman M. Abdallah. "Real-Time Assessment of a Single Neuron PID Combined with a PD Feedforward Controller Using a Quadrotor System." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde241244.

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Following fast-changing trajectories and rejecting harsh disturbances might be essential control requirements in drone applications. However, these requirements cannot be achieved using traditional PID controllers. Thus, a single- neuron PID combined with PD feedforward control is proposed to accomplish these control goals. Also, a real-time application using a quadrotor system is considered for testing the proposed controller. Real-time results and control performance measures in the form of the integral absolute error show that the proposed scheme, relative to the single neuron PID alone, si
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Bhati, Harsh, and Dr Lata Gidwani. "A COMPARATIVE STUDY OF DIFFERENT TYPE MPPT TECHNIQUE FOR SOLAR (PV) SYSTEM." In Futuristic Trends in Artificial Intelligence Volume 3 Book 7. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3baai7p2ch2.

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The three solar system’s maximum power point tracking (MPPT) techniques Perturb and Observe (P&O), Incremental Conductance (InC), and a fuzzy logic-based tracking methodology are fully evaluated in this study. In the three techniques under investigation P&O, InC, and the FLC algorithm the operating point oscillates around the maximum power point during steady-state operation, causing energy loss from the output panel. This research highlights this problem in all three of these systems. Through simulation results, it is shown that the proposed fuzzy logic controller (FLC) offers more pr
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Jin, Jiangang, and Lihua Shen. "Research on Trajectory Tracking of Robotic Arm Based on Inversion Control." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2025. https://doi.org/10.3233/faia250090.

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With the rapid advancement of technology, robotic arms have played a significant role in enhancing production efficiency. Considering the highly nonlinear and strongly coupled characteristics of the dynamic equations of loading and unloading robotic arms, this study proposes a trajectory tracking strategy based on inversion control. Firstly, to simplify the design of the controller, the complex robotic arm model is decoupled into two independent subsystems. Then, using the inversion control strategy, control laws are designed for these two subsystems separately. Simulation results verify that
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Yang, Hao, Shou Zhou, Feng Wang, Xibin Bai, and Shifeng Zhang. "Attitude Controller Design of Rocket Ascent Phase Based on Improved DQN Algorithm." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde250041.

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Aiming at the design of the control system of the ascent phase of a launch vehicle, an improved DQN algorithm is proposed in this paper, which is successfully applied to the controller design. In view of the different characteristics of the object at different moments, a ε-greedy search strategy is proposed to enable the intelligent agent to better balance the relationship between exploration and development while ensuring convergence. A reward function is designed while considering both the tracking effect and the stability of the rocket. Taking the swing angle rate as the action of agent ins
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Conference papers on the topic "PD Controller; Tracking Efficiency"

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Kamar, Sheikh Alif Aqil Sheikh, Nur Azzammudin Rahmat, and Izham Zainal Abidin. "An Enhanced Photovoltaic Solar Energy Generation Tracking Efficiency and Stability using Fuzzy Logic Controller for Maximum Power Point Tracking Algorithm." In 2024 IEEE 22nd Student Conference on Research and Development (SCOReD). IEEE, 2024. https://doi.org/10.1109/scored64708.2024.10872685.

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Hoang, Samantha, and I. Y. Shen. "Cost of Controls for Multi-Rotor Drones." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67816.

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Abstract This paper focuses on the energy costs of using a control system to follow a specific trajectory as opposed to directly choosing the inputs in an open-loop sense to achieve a specific trajectory. Results show that the PID controller will use 7–13% more energy than the open-loop system for the small-amplitude trajectories and 62–74% more energy for the high-amplitude trajectories while maintaining trajectory errors of approximately 5% and 19%, respectively. The PD controller will use 0.03–0.04% less energy than the open loop system for the small-amplitude trajectories and 0.35% less en
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Mohammadi, Saman, Zoya Heidari, Hojjat Pendar, Aria Alasty, and Gholamreza Vossoughi. "Optimal Control of an Assisted Passive Snake-Like Robot Using Feedback Linearization." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34988.

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In this paper we follow two approaches in optimal nonlinear control of a snake-like robot. After deriving the dynamic equations of motion using Gibbs-Appell method, reducing these equations, and some assumptions, feedbacklinearization method was used to linearize the nonlinear system. The obtained controller is used in simulations to control robot to track a desired line, with minimum required torques. Two goals are desired. First the robot’s head is expected to track a distinct line with a given speed. And next, tracking the serpenoid curve is desired. The simulation results prove the control
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Shi, Linda Z., and Mohamed B. Trabia. "Comparison of Two Distributed Fuzzy Logic Controllers for Flexible-Link Manipulators." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2334.

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Abstract Fuzzy logic control presents a computationally efficient and robust alternative to conventional controllers. An expert in a particular system can usually design a fuzzy logic controller for it easily as can be seen in many applications where fuzzy logic has been already successfully implemented. On the other hand, fuzzy logic controllers are not readily available for flexible-link manipulators. This paper presents two different approaches to design distributed controllers for flexible-link manipulators. The first approach, which is based on observing the performance of flexible manipu
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Tang, Xiaoteng, and Li Chen. "Compensating Learning Control for Free-Floating Space Robot System With Dual-Arms Using Genetic Algorithm in Joints Space." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86400.

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In this paper, the kinematics and dynamics of free-floating space robot system with dual-arms are analyzed. The closed-loop dynamic error equation considering uncertainties for the space robot is derived using the PD type computed torque method. A new learning control method using real coded genetic algorithm is presented to control the system and its controller structure is designed. A compensating learning control item is added to the error equation to approach the uncertainties by evolutionary learning. Then, the computed torque method and the GA learning control are combined to realize the
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Uniyal, Jagriti, MonaLisa Joshi, and Pradeep K. Juneja. "Set point tracking capability and comparitive response of PI-PD controller with PI, PD and PID controller." In 2016 International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Spring). IEEE, 2016. http://dx.doi.org/10.1109/icacca.2016.7578883.

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Bong Joo Kim and Chung Choo Chung. "Design of fuzzy PD + I controller for tracking control." In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1023950.

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Canbek, K. Oguz, and Yesim Oniz. "Trajectory Tracking of a Quadcopter Using Fuzzy-PD Controller." In 2021 13th International Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2021. http://dx.doi.org/10.23919/eleco54474.2021.9677806.

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Karray, Amal, and Moez Feki. "Tracking control of a mobile manipulator with fuzzy PD controller." In 2015 World Congress on Information Technology and Computer Applications Congress (WCITCA). IEEE, 2015. http://dx.doi.org/10.1109/wcitca.2015.7367078.

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Pei, Huaxin, Jishiyu Ding, Jianming Hu, and Yi Zhang. "Fuzzy PD Controller Based Path Tracking for Autonomous Vehicle under i-VICS." In 2019 5th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2019. http://dx.doi.org/10.1109/ictis.2019.8883832.

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