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Data-driven controllers for shape memory alloys systems (DDcSMAsyst)
246 638 LEI financed by the Executive Agency for Higher Education, Research, Development and Innovation Funding (PD, UEFISCDI), 2020-2022, project code PN-III-P1-1.1-PD-2019-0637
Regulatoare de tip data-driven dedicate sistemelor de aliaje cu memoria formei (DDcSMAsyst) - contract de finanțare Nr. PD 41 din 07/08/2020 Cod depunere: PN-III-P1-1.1-PD-2019-0637 - in Romanian Shape memory alloys (SMA) are known as metallic materials, also called “smart materials”, the main advantage of these materials is that they have a silent operation and they act by contractions link human muscles, which makes them useful as execution elements in automatic control systems (CS). SMA stands are designed both for teaching purpose to demonstrate the SMA behavior and teach knowledge on SMA-based actuators and for science to highlight the nonlinear behavior of SMA and to establish an adequate mathematical model used to design controllers for position control. The disadvantages of the SMA are low energy efficiency, low bandwidth due to the slow air-cooling speed, and difficulty to achieve tracking. An alternative to classical control is represented by data-driven controllers, which currently represent a hot topic in the scientific environment and in industry as well. The advantage of data-driven controllers is that they use only the input/output data of the process, and this feature is useful if the mathematical model of the controlled process is complex or its identification is very difficult. This is the main reason of the high increased interest for nonlinear controllers whose parameters are determined using the input/output data of the controlled process. This project proposes an approach oriented towards the development and improvement of modern control solutions based on nonlinear data-driven controllers dedicated to SMA processes. The new CS structures with data-driven controllers will also be validated and tested to other types of laboratory equipment. The new CS structures with data-driven controllers will be also validated through our industrial partners (Continental Automotive Timisoara, Airbus Helicopters Romania through direct relationships consolidated over time, Ontario Centers of Excellence through our partner in Ottawa, Canada). R1. Results exploitation by publishing in one of the top journals of the field e.g. IEEE Transactions on Industrial Informatics (red zone (Q1)), IEEE Transactions on Control Systems Technology (red zone (Q1)), IET Control Theory & Applications (red zone (Q1)), International Journal of General Systems (yellow zone (Q2)). R2. Work exploitation by participation and presentation of two papers in international specialized conferences e.g. American Control Conference (ACC 2021), 29th Mediterranean Conference on Control and Automation (MED 2021), European Control Conference (ECC 2021). R3. Continuing improving of the international partnerships with new partners. R4. Continuing the collaboration with external partners. • Journal Papers:
R.-E. Precup, R.-C. Roman, E.-L. Hedrea, E. M. Petriu, and C.-A. Bojan-Dragos, "Data-Driven Model-Free Sliding Mode and Fuzzy Control with Experimental Validation," International Journal of Computers Communication & Control, 18 (1), 1-18, 2020, impact factor (IF) = 2.635, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 2.635.
R.-E. Precup, R.-C David, R.-C. Roman, E. M. Petriu, and A.-I. Szedlak-Stinean, "Slime mould algorithm-based tuning of cost-effective fuzzy controllers for servo systems," International Journal of Computational Intelligence Systems, 14 (1), 1042-1053, 2021, impact factor (IF) = 2.259, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 2.259.
R.-E. Precup, C.-A. Bojan-Dragos, E.-L. Hedrea, R.-C. Roman and E. M. Petriu, "Evolving Fuzzy Models of Shape Memory Alloy Wire Actuators," Romanian Journal of Information Science and Technology (Romanian Academy, Section for Information Science and Technology), 24 (4), 353-365, 2021, impact factor (IF) = 0.852, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 0.852.
R.-E. Precup, R.-C David, R.-C. Roman, A.-I. Szedlak-Stinean, and E. M. Petriu, "Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm," International Journal of Systems Science, doi: https://doi.org/10.1080/00207721.2021.1927236, 1-16, 2021, impact factor (IF) = 2.648, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 2.648.
E.-L. Hedrea, R.-E. Precup, R.-C. Roman and E. M. Petriu, "Tensor product‐based model transformation approach to tower crane systems modeling," Asian Journal of Control, 23 (3), 1313-213, 2021, impact factor (IF) = 2.444, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 2.444.
R.-E. Precup, S. Preitl, C.-A. Bojan-Dragos, E.-L. Hedrea, R.-C. Roman and E. M. Petriu, "A Low-Cost Approach to Data-Driven Fuzzy Control of Servo Systems," Facta Universitatis, Series: Mechanical Engineering, vol. 20, no. 1, pp. 021-036, 2022, impact factor (IF) = 4.622, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 4.622.
R.-E. Precup, R.-C. Roman, E.-L. Hedrea, C.-A. Bojan-Dragos, M.-M. Damian and M.-L. Nedelcea, "Performance Improvement of Low-Cost Iterative Learning-Based Fuzzy Control Systems for Tower Crane Systems," International Journal of Computers Communications & Control, vol. 17, no. 1, pp. 1-18, 2022, impact factor (IF) = 2.635, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 2.635.
I. A. Zamfirache, R.-E. Precup, R.-C. Roman and E. M. Petriu, "Policy Iteration Reinforcement Learning-based control using a Grey Wolf Optimizer algorithm," Information Sciences, vol. 585, pp. 162-175, 2022, impact factor (IF) = 8.233, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 8.233.
I. A. Zamfirache, R.-E. Precup, R.-C. Roman and E. M. Petriu, "Reinforcement Learning-based control using Q-learning and gravitational search algorithm with experimental validation on a nonlinear servo system," Information Sciences, vol. 583, pp. 99-120, 2022, impact factor (IF) = 8.233, IF according to 2021 Journal Citation Reports (JCR) released by Clarivate Analytics in 2022 = 8.233. • Conference Proceedings Papers:
R.-C. Roman, R.-E. Precup, E. M. Petriu, C.-A. Bojan-Dragos, V.-B. Vanya and M.-D. Rarinca, "Second Order Active Disturbance Rejection Control – Virtual Reference Feedback Tuning for Twin Rotor Aerodynamic Systems," 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, pp. 1-6, 2020.
R.-C. Roman, R.-E. Precup, E. M. Petriu, R.-C. David, E.-L. Hedrea and A.-I. Szedlak-Stinean, "First-Order Active Disturbance Rejection-Virtual Reference Feedback Tuning Control of Tower Crane Systems," 24th International Conference on System Theory, Control and Computing (ICSTCC 2020), Sinaia, Romania, pp. 1-6, 2020.
C.-A. Bojan-Dragos, R.-E. Precup, S. Preitl, R.-C. Roman, E.-L. Hedrea and A.-I. Szedlak-Stinean, "GWO-Based Optimal Tuning of Type-1 and Type-2 Fuzzy Controllers for Electromagnetic Actuated Clutch Systems," The 4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control (CESCIT 2021), Valenciennes, France, 189-194, 2021.
E.-L. Hedrea, R.-E. Precup, R.-C. Roman, E. M. Petriu, C.-A. Bojan-Dragos and I.-C. Hedrea, "Tensor Product-Based Model Transformation Technique Applied to Servo Systems Modeling," The 30th International Symposium on Industrial Electronics ISIE 2021, Kyoto, Japan, 1-6, 2021.
R.-C. Roman, R.-E. Precup, S. Preitl, A.-I. Szedlak Stinean, C.-A. Bojan-Dragos, E.-L. Hedrea and E. M. Petriu, "PI Controller Tuned via Data-Driven Algorithms for Shape Memory Alloy Systems," 1st IFAC Workshop on Control of Complex Systems, COSY 2022, Bologna, Italy, pp. 1-6, 2022.
R.-C. Roman, R.-E. Precup, S. Preitl, C.-A. Bojan-Dragos, A.-I. Szedlak Stinean and E.-L. Hedrea, "Data-Driven Control Algorithms for Shape Memory Alloys," 6th IEEE Conference on Control Technology and Applications, Trieste, Italy, pp. 1-7, 2022.
R.-E. Precup, E.-L. Hedrea, R.-C. Roman, E. M. Petriu, C.-A. Bojan-Dragos, A.-I. Szedlak Stinean and F.-A. Paulescu, "AVOA-Based Tuning of Low-Cost Fuzzy Controllers for Tower Crane Systems," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padova, Italy, pp. 1-6, 2022.
R.-E. Precup, E.-L. Hedrea, R.-C. Roman, E. M. Petriu, C.-A. Bojan-Dragos and A.-I. Szedlak Stinean, "GWO-Based Performance Improvement of PD-Type Iterative Learning Fuzzy Control of Tower Crane Systems," 2022 IEEE International Symposium on Industrial Electronics, Anchorage, AK, USA, pp. 1-6, 2022.
A.-I. Szedlak Stinean, R.-E. Precup and R.-C. Roman, "Linear and nonlinear observers developed for direct current electric drive systems," 2022 9th International Conference on Computers Communications and Control, Baile Felix, Romania, pp. 1-6, 2022.
C.-A. Bojan-Dragos, R.-E. Precup, E. M. Petriu, R.-C. Roman, E.-L. Hedrea and A.-I. Szedlak Stinean, "GWO-Based Optimal Tuning of Controllers for Shape Memory Alloy Wire Actuators," 6th IFAC Conference on Intelligent Control and Automation Sciences, Cluj-Napoca, Romania, pp. 1-6, 2022.
R.-C. Roman, R.-E. Precup, E.-L. Hedrea, S. Preitl, I. A. Zamfirache, C.-A. Bojan-Dragos and E. M. Petriu, "Iterative Feedback Tuning Algorithm for Tower Crane Systems," Procedia Computer Science, vol. 199, Chengdu, China, pp. 157-165, 2022. • Books:
R.-E. Precup, R.-C. Roman and A. Safaei, "Data-Driven Model-Free Controllers," CRC Press, Boca Raton, Florida, USA, 2021. • Book Chapters:
R.-E. Precup, E.-I. Viosan, R.-C. David, E.-L. Hedrea, E. M. Petriu, R.-C. Roman and A.-I. Szedlak-Stinean, "Nature-Inspired Optimization Algorithms for Path Planning and Fuzzy Tracking Control of Mobile Robots," Applied Optimization and Swarm Intelligence, 129-148, 2021.
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