Performance and robustness analysis of V-Tiger PID controller for automatic voltage regulator

. 2024 Apr 03 ; 14 (1) : 7867. [epub] 20240403

Status PubMed-not-MEDLINE Jazyk angličtina Země Velká Británie, Anglie Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid38570573
Odkazy

PubMed 38570573
PubMed Central PMC11371831
DOI 10.1038/s41598-024-58481-1
PII: 10.1038/s41598-024-58481-1
Knihovny.cz E-zdroje

This paper presents a comprehensive study on the implementation and analysis of PID controllers in an automated voltage regulator (AVR) system. A novel tuning technique, Virtual Time response-based iterative gain evaluation and re-design (V-Tiger), is introduced to iteratively adjust PID gains for optimal control performance. The study begins with the development of a mathematical model for the AVR system and initialization of PID gains using the Pessen Integral Rule. Virtual time-response analysis is then conducted to evaluate system performance, followed by iterative gain adjustments using Particle Swarm Optimization (PSO) within the V-Tiger framework. MATLAB simulations are employed to implement various controllers, including the V-Tiger PID controller, and their performance is compared in terms of transient response, stability, and control signal generation. Robustness analysis is conducted to assess the system's stability under uncertainties, and worst-case gain analysis is performed to quantify robustness. The transient response of the AVR with the proposed PID controller is compared with other heuristic controllers such as the Flower Pollination Algorithm, Teaching-Learning-based Optimization, Pessen Integral Rule, and Zeigler-Nichols methods. By measuring the peak closed-loop gain of the AVR with the controller and adding uncertainty to the AVR's field exciter and amplifier, the robustness of proposed controller is determined. Plotting the performance degradation curves yields robust stability margins and the accompanying maximum uncertainty that the AVR can withstand without compromising its stability or performance. Based on the degradation curves, robust stability margin of the V-Tiger PID controller is estimated at 3.5. The worst-case peak gains are also estimated using the performance degradation curves. Future research directions include exploring novel optimization techniques for further enhancing control performance in various industrial applications.

Zobrazit více v PubMed

Li, K., Ji, L., Yang, S., Li, H. & Liao, X. Couple-group consensus of cooperative–competitive heterogeneous multiagent systems: A fully distributed event-triggered and pinning control method. PubMed DOI

Shirkhani, M. DOI

Shen, Y., Liu, D., Liang, W. & Zhang, X. Current reconstruction of three-phase voltage source inverters considering current ripple. DOI

Cao, X. PubMed DOI PMC

Agwa, A., Elsayed, S. & Ahmed, M. Design of optimal controllers for automatic voltage regulation using Archimedes optimizer. DOI

Meng, S. DOI

Wu, W., Zhu, H., Yu, S. & Shi, J. Stereo matching with fusing adaptive support weights. DOI

Hou, M., Zhao, Y. & Ge, X. Optimal scheduling of the plug-in electric vehicles aggregator energy and regulation services based on grid to vehicle. DOI

Ziegler, J. G. & Nichols, N. B. Optimum settings for automatic controllers. DOI

Li, B., Guan, T., Dai, L. & Duan, G.-R. Distributionally robust model predictive control with output feedback. DOI

Xu, A. DOI

Bai, X., Xu, M., Li, Q. & Yu, L. Trajectory-battery integrated design and its application to orbital maneuvers with electric pump-fed engines. DOI

Gopi, P. & Reddy, K. H. Design of PI speed controller for 3-Ph converter fed DC motor drive using symmetrical optimization. DOI

Yang, M., Wang, Y., Xiao, X. & Li, Y. A robust damping control for virtual synchronous generators based on energy reshaping. DOI

Zhang, X., Pan, W., Scattolini, R., Yu, S. & Xu, X. Robust tube-based model predictive control with Koopman operators. DOI

Salih, A. M., Humod, A. T. & Hasan, F. A. Optimum design for PID-ANN controller for automatic voltage regulator of synchronous generator. In

Song, J., Mingotti, A., Zhang, J., Peretto, L. & Wen, H. Accurate damping factor and frequency estimation for damped real-valued sinusoidal signals. DOI

Zaidi, A., Basith, I. I. & Khan, V. Intelligent PID controller for automatic voltage regulation. DOI

Zhang, X., Wang, Y., Yuan, X., Shen, Y. & Lu, Z. Adaptive dynamic surface control with disturbance observers for battery/supercapacitor-based hybrid energy sources in electric vehicles. DOI

Zhang, X., Wang, Z. & Lu, Z. Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm. DOI

Ma, K. DOI

Li, X. & Sun, Y. Stock intelligent investment strategy based on support vector machine parameter optimization algorithm. DOI

Zhang, H., Wu, H., Jin, H. & Li, H. High-dynamic and low-cost sensorless control method of high-speed brushless DC motor. DOI

Joseph, S. B., Dada, E. G., Abidemi, A., Oyewola, D. O. & Khammas, B. M. Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems. PubMed DOI PMC

Xu, B. & Guo, Y. A novel DVL calibration method based on robust invariant extended Kalman filter. DOI

Okou, F. A., Akhrif, O. & Dessaint, L.-A. Decentralized multivariable voltage and speed regulator for large-scale power systems with guarantee of stability and transient performance. DOI

Wang, L., Zou, T., Cai, K. & Liu, Y. Rolling bearing fault diagnosis method based on improved residual shrinkage network. DOI

Hou, X. DOI

Lu, Y., Tan, C., Ge, W., Zhao, Y. & Wang, G. Adaptive disturbance observer-based improved super-twisting sliding mode control for electromagnetic direct-drive pump. DOI

Yu, J., Dong, X., Li, Q., Lu, J. & Ren, Z. Adaptive practical optimal time-varying formation tracking control for disturbed high-order multi-agent systems. DOI

Chatterjee, S. & Mukherjee, V. PID controller for automatic voltage regulator using teaching–learning based optimization technique. DOI

Ekinci, S., Hekimoglu, B. & Kaya, S. Tuning of PID controller for AVR system using salp swarm algorithm. In

Sambariya, D. K. & Gupta, T. Optimal design of PID controller for an AVR system using flower pollination algorithm. DOI

Kushwah, B., Batool, S., Gill, A. & Singh, M. ANN and ANFIS techniques for automatic voltage regulation. In

Lawal, M. J., Hussein, S. U., Saka, B., Abubakar, S. U. & Attah, I. S. Intelligent fuzzy-based automatic voltage regulator with hybrid optimization learning method. DOI

Gopi, P. DOI

Pachauri, N. Water cycle algorithm-based PID controller for AVR. DOI

Mahdavi, M., Alhelou, H. H., Gopi, P. & Hosseinzadeh, N. Importance of radiality constraints formulation in reconfiguration problems. DOI

Gopi, P.

Meddeb, A., Jmii, H., Amor, N. & Chebbi, S. Voltage stability enhancement using FACTS devices. In

Shah, S. O., Arshad, A. & Alam, S. Reactive power compensation utilizing FACTS devices. In

Goud, B. S.

Naga Sai Kalian, C., Bajaj, M., Kamel, S. & Jurado, F. Load frequency control of multi-area power system with integration of SMES and plug-in electric vehicles. In

Bajaj, M. & Singh, A. K. An MCDM-based approach for ranking the voltage quality in the distribution power networks. In

Sahri, Y. DOI

Sivapriya, A. DOI

Gopi, P., Mahdavi, M. & Alhelou, H. H. Robustness and stability analysis of automatic voltage regulator using disk-based stability analysis. DOI

Pachauri, N. DOI

Gopi, P., Srinivasan, S. & Krishnamoorthy, M. Disk margin based robust stability analysis of a DC motor drive. DOI

Kalyan, C. N. S. DOI

Kalyan, C. N. S.

Kalyan, C. N. S.

Sai Kalyan, C. N.

Sai Kalyan, C. N.

Wang, W., Liang, J., Liu, M., Ding, L. & Zeng, H. Novel robust stability criteria for lur’e systems with time-varying delay. DOI

Feng, J., Wang, W. & Zeng, H.-B. Integral sliding mode control for a class of nonlinear multi-agent systems with multiple time-varying delays. DOI

Zhang, X. DOI

Mou, J. DOI

Song, F., Liu, Y., Shen, D., Li, L. & Tan, J. Learning control for motion coordination in wafer scanners: toward gain adaptation. DOI

Chen, B., Hu, J., Zhao, Y. & Ghosh, B. K. Finite-time velocity-free rendezvous control of multiple AUV systems with intermittent communication. DOI

Zhao, L., Qu, S., Xu, H., Wei, Z. & Zhang, C. Energy-efficient trajectory design for secure SWIPT systems assisted by UAV-IRS. DOI

Gopi, P., Ramesh, M. & Lalitha, M. P. Evaluation of automatic voltage regulator’s pid controller coefficients using python. In

Fei, M., Zhang, Z., Zhao, W., Zhang, P. & Xing, Z. Optimal power distribution control in modular power architecture using hydraulic free piston engines. DOI

Hu, J., Wu, Y., Li, T. & Ghosh, B. K. Consensus control of general linear multiagent systems with antagonistic interactions and communication noises. DOI

Lu, C., Gao, R., Yin, L. & Zhang, B. Human–robot collaborative scheduling in energy-efficient welding shop. DOI

Li, S., Zhao, X., Liang, W., Hossain, M. T. & Zhang, Z. A Fast and accurate calculation method of line breaking power flow based on Taylor expansion. DOI

Bai, X., He, Y. & Xu, M. Low-thrust reconfiguration strategy and optimization for formation flying using jordan normal form. DOI

Zhang, J. DOI

Lu, C., Liu, Q., Zhang, B. & Yin, L. A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop. DOI

Kosaka, M., Kosaka, A. & Kosaka, M. Virtual time-response based iterative gain evaluation and redesign. DOI

Najít záznam

Citační ukazatele

Pouze přihlášení uživatelé

Možnosti archivace

Nahrávání dat ...