Article
Computer Science, Artificial Intelligence
Ravi Kumar Mandava, Pandu R. Vundavilli
Summary: This paper proposes a torque-based PID controller for a two-legged robot, aiming to optimize the gait execution. The controller adjusts gains based on the magnitude of input signals received by the neural network, and the structure of the feedforward NN is optimized using the MCIWO algorithm. The effectiveness of the controller in maintaining balance on various terrains is verified through simulations and practical experiments.
Article
Computer Science, Artificial Intelligence
T. Shuprajhaa, Shiva Kanth Sujit, K. Srinivasan
Summary: This research work aims to develop a data-driven adaptive PID controller for controlling unstable processes. By modifying the Proximal Policy Optimization algorithm and introducing adaptive adjustments, the proposed controller can be directly applied to various industrial processes without the need for process modeling and prior knowledge, outperforming traditional PID controllers and other algorithms in terms of performance.
APPLIED SOFT COMPUTING
(2022)
Article
Energy & Fuels
Xiaolin Duan, Pengfei Zhi, Wanlu Zhu, Haifeng Wei
Summary: This paper investigates the design of the speed control system for elevator permanent magnet synchronous traction motor, using SVPWM and direct torque control combined with fuzzy adaptive PID. The stability and reliability of this system are verified through analysis and simulation.
Article
Automation & Control Systems
Mustafa Wassef Hasan, Nizar Hadi Abbas
Summary: This paper proposes an adaptive fuzzy with a nonlinear PID (AFNLPID) controller to address and eliminate disturbances caused by ocean currents and unknown uncertainties in underwater robotic vehicle (URV) dynamics. The AFNLPID controller estimates the unknown dynamics parameters of the URV and unknown disturbances. Two types of disturbances, deepwater wave disturbances and near-surface shallow water wave disturbances, are presented. The performance of the AFNLPID controller is evaluated by comparing it with other controllers, such as adaptive fuzzy PID (AFPID, AFPID2) controllers, conventional PID controllers, and nonlinear fractional-order PID (NLFOPID) controllers.
Article
Engineering, Multidisciplinary
Hossam Kotb, Ahmed H. Yakout, Mahmoud A. Attia, Rania A. Turky, Kareem M. AboRas
Summary: This paper proposes the use of two recent optimization techniques, Local Unimodal Sampling (LUS) and Spotted Hyena Optimizer (SHO), to optimize the cascaded PID controller for controlling the speed and reducing the torque ripples of the switched reluctance motor. The proposed algorithms have the advantage of better convergence and lower computational efforts compared to other optimization techniques. Experimental results demonstrate that the PID controller is superior to the fractional-order PID (FOPID) controller, and the SHO-based cascaded PID controller exhibits less current and torque ripples with improved speed response.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Green & Sustainable Science & Technology
Bapayya Naidu Kommula, Venkata Reddy Kota
Summary: This paper presents an effective torque and speed regulation strategy for BLDC motors using a modified firefly algorithm and particle swarm optimization-based fractional order PID controller. The proposed controller overcomes the uncertainty issues caused by load variations and PID parameter tuning, and provides accurate control method.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Multidisciplinary Sciences
Mingqi Huang, Min Tian, Yang Liu, Yao Zhang, Jie Zhou
Summary: In this paper, a partial attraction adaptive firefly algorithm (PAAFA) is proposed to optimize PID control parameters for better control effect in agricultural water and fertilizer regulation. The simulation and bench test results demonstrate that PAAFA outperforms traditional methods (GA, AGA, and FA) in terms of regulation time and control accuracy.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Artificial Intelligence
Seyyed Morteza Ghamari, Fatemeh Khavari, Hasan Mollaee
Summary: In this paper, a Lyapunov-based model reference PID control strategy is proposed for a DC/DC Buck converter. The PID strategy is enhanced with a Lyapunov definition-based adaptive mechanism to increase stability and robustness under various disturbances. The system is treated as a black-box, eliminating the need for accurate mathematical modeling and reducing computational burden. The Lyapunov concept offers faster and more accurate optimization with reliable stability assurance. Simulation and experimental results confirm the superior performance of the Lyapunov-based PID strategy compared to conventional FOPID and PID control techniques.
Review
Energy & Fuels
Othman A. M. Omar, Mostafa I. Marei, Mahmoud A. Attia
Summary: Voltage regulation is crucial for electrical grids with high penetration levels of renewable energies. Generator excitation regulation improves power system stability. The automatic voltage regulator (AVR) is an essential tool for controlling generator excitation. This paper proposes a survey of different types of controllers and introduces a novel optimized PID-Based model reference fractional adaptive controller with detailed mathematical modeling. The novel controller is compared to other controllers in the survey, demonstrating its superiority in terms of fast response, low rising and settling times. Additionally, the proposed controller achieves smooth and instantaneous tracking of dynamic reference changes.
Article
Engineering, Electrical & Electronic
Yuefei Zuo, Jingwei Zhu, Wenhao Jiang, Shuangchun Xie, Xiaoyong Zhu, Wen-Hua Chen, Christopher H. T. Lee
Summary: In this article, an active disturbance rejection (ADR) controller based on the generalized integrator (GI) extended state observer (ESO) (GIESO) is proposed to suppress torque ripple and achieve smooth speed control of electric drives. A deadbeat ADR controller is used to simplify the current control algorithm. An adaptive GIESO is developed to address the instability issue caused by the two-step delay in the current control loop. By analyzing the system stability, the design guideline for the adaptive resonant gain is determined. The proposed adaptive GIESO ensures system stability across the entire speed range while suppressing speed ripple within 1 r/min.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Krzysztof Sozanski
Summary: In the teaching process, it is important for students to conduct real-time research rather than rely solely on computer simulations. However, during distance learning in the COVID-19 pandemic, finding a solution for students to individually perform such exercises at home becomes necessary. This paper presents a low-cost proportional-integral-derivative (PID) controller based on Arduino or STM32 microcontroller modules, which allows students to learn control techniques and analog control objects in real time. The digital PID controller algorithm is calculated at regular intervals, making it an effective solution for remote learning during the pandemic.
Article
Green & Sustainable Science & Technology
Hani Albalawi, Sherif A. A. Zaid, Mohmed E. E. El-Shimy, Ahmed M. M. Kassem
Summary: This paper proposes an induction motor drive controlled using direct torque control principles, but with the power converter operation optimized to give fast torque performance. The drive uses an optimized fuzzy PID controller, which is accomplished by the ant colony optimization algorithm. Simulation results indicate that the optimized FPID controller provides the best performance in terms of speed and torque, and it is robust against parameter uncertainties.
Article
Engineering, Electrical & Electronic
Yanqing Zhang, Zhonggang Yin, Wei Li, Jing Liu, Yanping Zhang
Summary: This article proposes an adaptive sliding-mode-control-based MPTC method to improve the robustness of FCS-MPC. ASMC-MPTC exhibits the best disturbance rejection ability and robustness against motor parameters variation and load torque change.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Jose Guadalupe Romero, Emmanuel Nuno, Carlos I. Aldana
Summary: This work presents a novel controller to solve the position and orientation consensus-based formation problem of multiple nonholonomic vehicles. The controller utilizes a simple PID structure and incorporates a time-varying persistency of excitation term to satisfy the stabilization theorem for nonholonomic systems. Simulation results validate the theoretical findings of this work.
INTERNATIONAL JOURNAL OF CONTROL
(2023)
Article
Engineering, Aerospace
Chihang Yang, Hao Zhang, Yang Gao
Summary: This paper considers the high-precision control problem of deep-space formation flying, adopting a neural-network-based adaptive controller as a benchmark. An enhanced PID adaptive controller is proposed to address the unknown perturbations in deep space, with simpler architecture and fewer parameters compared to the benchmark controller. Simulations demonstrate that both controllers have nearly equivalent adaptive capabilities.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Ravi Kumar Mandava, Pandu R. Vundavilli
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2018)
Article
Robotics
Ravi Kumar Mandava, Mrudul Katla, Pandu R. Vundavilli
INTELLIGENT SERVICE ROBOTICS
(2019)
Article
Computer Science, Artificial Intelligence
Ravi Kumar Mandava, Pandu R. Vundavilli
Summary: This paper proposes a torque-based PID controller for a two-legged robot, aiming to optimize the gait execution. The controller adjusts gains based on the magnitude of input signals received by the neural network, and the structure of the feedforward NN is optimized using the MCIWO algorithm. The effectiveness of the controller in maintaining balance on various terrains is verified through simulations and practical experiments.
Article
Chemistry, Physical
Ravi Kumar Mandava, Vajrala Venkata Reddy, Veeravalli Rama Koteswara Rao, K. Srinivasulu Reddy
Summary: This research studied the wear and frictional behaviour of Aluminium metal matrix composite using fly ash and silicon carbide as reinforcements. The composite with 20% of FA and SiC was tested in dry conditions, with results showing that the applied load is the most significant factor affecting wear rate.
Proceedings Paper
Engineering, Industrial
Shyam Prasad Kodali, Ravi Kumar Mandava, Boggarapu Nageswara Rao
Summary: In this research, an optimal PID controller is implemented for smooth control of a robotic manipulator. By using a genetic algorithm to tune the controller gains, better results than manual tuning are achieved.
RECENT ADVANCES IN INDUSTRIAL PRODUCTION, ICEM 2020
(2022)
Proceedings Paper
Engineering, Industrial
K. Srinivasulu Reddy, V. Venkata Reddy, Ravi Kumar Mandava
Summary: The objective of this study is to conduct machining operation on developed composite and investigate the influence of machining process parameters on surface roughness and material removal rate. The authors used Grey relational analysis and Data Envelopment Analysis based Ranking to find the optimal machining parameters and levels for evaluating machining quality characteristics.
RECENT ADVANCES IN INDUSTRIAL PRODUCTION, ICEM 2020
(2022)
Proceedings Paper
Engineering, Manufacturing
Priyaranjan Samal, Rishu Raj, Ravi Kumar Mandava, Pandu R. Vundavilli
ADVANCES IN MATERIALS AND MANUFACTURING ENGINEERING, ICAMME 2019
(2020)
Proceedings Paper
Engineering, Manufacturing
A. K. Jishnu, Ravi Kumar Mandava, Pandu R. Vundavilli
ADVANCES IN MATERIALS AND MANUFACTURING ENGINEERING, ICAMME 2019
(2020)
Proceedings Paper
Engineering, Manufacturing
Sumit Govind Kanpartiwar, Ravi Kumar Mandava, Pandu R. Vundavilli
ADVANCES IN MATERIALS AND MANUFACTURING ENGINEERING, ICAMME 2019
(2020)
Article
Multidisciplinary Sciences
Priyaranjan Samal, Ravi Kumar Mandava, Pandu R. Vundavilli
SN APPLIED SCIENCES
(2020)
Article
Automation & Control Systems
Ravi Kumar Mandava, Pandu Ranga Vundavilli
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL
(2019)
Article
Computer Science, Artificial Intelligence
Ravi Kumar Mandava, Pandu R. Vundavilli
EVOLUTIONARY INTELLIGENCE
(2019)
Article
Automation & Control Systems
Ravi Kumar Mandava, Pandu Ranga Vundavilli
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING
(2018)
Article
Automation & Control Systems
Ravi Kumar Mandava, Pandu Ranga Vundavilli
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL
(2018)