A Brawny hybrid FOFPID in MODA controller in HEVs

References

• Aguilar, R., A. Poznyak, R. Martı́nez-Guerra, and R. Maya-Yescas. 2002. Temperature control in catalytic cracking reactors via a robust PID controller. Journal of Process Control, Elsevier 12 (6):695–705. doi:10.1016/S0959-1524(01)00034-8.
   Web of Science ®Google Scholar
• Baik, I.-C., K.-H. Kim, and M.-J. Youn. 2000. Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding mode control technique. IEEE Transactions on Control Systems Technology 8 (1):47–54. doi:10.1109/87.817691.
   Web of Science ®Google Scholar
• Barrero, F., A. Gonzalez, A. Torralba, E. Galvan, and L. G. Franquelo. 2002. Speed control of induction motors using a novel fuzzy sliding-mode structure. IEEE Transactions on Fuzzy Systems 10 (3):375–83. doi:10.1109/TFUZZ.2002.1006440.
   Web of Science ®Google Scholar
• Dadebo, S. A., M. L. Bell, P. J. McLellan, and K. B. McAuley. 1997. Temperature control of industrial gas phase polyethylene reactors. Journal of Process Control, Elsevier 7 (2):83–95. doi:10.1016/S0959-1524(96)00016-9.
   Web of Science ®Google Scholar
• Dautov, R., S. Distefano, D. Bruneo, F. Longo, G. Merlino, and A. Puliafito. 2018. Data processing in cyber-physical-social systems through edge computing. IEEE Access 6:29822–35. doi:10.1109/ACCESS.2018.2839915.
   Web of Science ®Google Scholar
• Derdiyok, A., M. K. Guven, H. Rehman, N. Inanc, and L. Xu. 2002. Design and implementation of a new sliding-mode observer for speed-sensorless control of induction machine. IEEE Transactions on Industrial Electronics 49 (5):1177–82. doi:10.1109/TIE.2002.803247.
   Web of Science ®Google Scholar
• Feng, G. 2006. A survey on analysis and design of model-based fuzzy control systems. IEEE Transactions on Fuzzy Systems 14 (5):676–97. doi:10.1109/TFUZZ.2006.883415.
   Web of Science ®Google Scholar
• Hansen, D. S., S. Jespersen, M. V. Bram, and Z. Yang, 2018. Human machine interface prototyping and application for advanced control of offshore topside separation processes. IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society, October, 2341–47. Washington, DC: IEEE.
   Google Scholar
• Heber, B., L. Xu, and Y. Tang. 1997. Fuzzy logic enhanced speed control of an indirect field-oriented induction machine drive. IEEE Transactions on Power Electronics 12 (5):772–78. doi:10.1109/63.622994.
   Web of Science ®Google Scholar
• Jain, M., S. Maurya, A. Rani, and V. Singh. 2018. Owl search algorithm: A novel nature-inspired heuristic paradigm for global optimization. Journal of Intelligent & Fuzzy Systems 34 (3):1573–82. doi:10.3233/JIFS-169452.
   Web of Science ®Google Scholar
• Karaboga, D., and E. Kaya. 2018. Adaptive network based fuzzy inference system (ANFIS) training approaches: A comprehensive survey. Artificial Intelligence Review 1–31.
   Web of Science ®Google Scholar
• Kodagoda, K. R. S., W. S. Wijesoma, and E. K. Teoh. 2002. Fuzzy speed and steering control of an AGV. IEEE Transactions on Control Systems Technology 10 (1):112–20. doi:10.1109/87.974344.
   Web of Science ®Google Scholar
• Kouba, N. E. Y., M. Menaa, M. Hasni, and M. Boudour. 2018. A novel optimal combined fuzzy PID controller employing dragonfly algorithm for solving automatic generation control problem. Electric Power Components and Systems 1–17. doi:10.1080/15325008.2018.1533604.
   Web of Science ®Google Scholar
• Leonidm, R., G. Omar, and B. Anna. 2000. PID plus fuzzy controller structures as a design base for industrial applications. Engineering Applications of Artificial Intelligence, Elsevier 13 (4):419–30.
   Web of Science ®Google Scholar
• Li, W. 1998. Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller. IEEE Transactions on Fuzzy Systems 6 (4):449–63. doi:10.1109/91.728430.
   Web of Science ®Google Scholar
• Mohanty, B., B. V. S. Acharyulu, and P. K. Hota. 2018. Moth‐flame optimization algorithm optimized dual‐mode controller for multiarea hybrid sources AGC system. Optimal Control Applications and Methods 39 (2):720–34. doi:10.1002/oca.v39.2.
   Web of Science ®Google Scholar
• Na, M. G. 1998. Design of a genetic fuzzy controller for the nuclear steam generator water level control. IEEE Transactions on Nuclear Science 45 (4):2261–71.
   Web of Science ®Google Scholar
• Precup, R.-E., S. Preitl, and G. Faur. 2003. PI predictive fuzzy controllers for electrical drive speed control: Methods and software for stable development. Computers in Industry, Elsevier 52 (3):253–70. doi:10.1016/S0166-3615(03)00130-1.
   Web of Science ®Google Scholar
• Salehi, D., and M. Brandt. 2006. Melt pool temperature control using LabVIEW in Nd: YAG laser blown powder cladding process. The International Journal of Advanced Manufacturing Technology, Springer 29 (3–4):273–78. doi:10.1007/s00170-005-2514-3.
   Web of Science ®Google Scholar
• Spencer, M. F., and T. J. Brennan. 2017. Conference 10194: Micro-and nanotechnology sensors, systems, and applications IX. Defense+ Commercial Sensing 14:140.
   Google Scholar
• Walsh, G. C., H. Ye, and L. G. Bushnell. 2002. Stability analysis of networked control systems. IEEE Transactions on Control Systems Technology 10 (3):438–46. doi:10.1109/87.998034.
   Web of Science ®Google Scholar
• Zhang, G. 2000. Speed control of two-inertia system by PI/PID control. IEEE Transactions on Industrial Electronics 47 (3):603–09. doi:10.1109/41.847901.
   Web of Science ®Google Scholar
• Zhang, L., H. Gao, and O. Kaynak. 2013. Network-induced constraints in networked control systems—A survey. IEEE Transactions on Industrial Informatics 9 (1):403–16. doi:10.1109/TII.2012.2219540.
   Web of Science ®Google Scholar
• Zhang, L., Y. Shi, T. Chen, and B. Huang. 2005. A new method for stabilization of networked control systems with random delays. IEEE Transactions on Automatic Control 50 (8):1177–81. doi:10.1109/TAC.2005.852550.
   Web of Science ®Google Scholar