Affiliations: [a] Electrical and Electronics Engineering Department, VNR Vignana Jyothi Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana-State, India
| [b] Electrical and Electronics Engineering, JNTUH University College of Engineering Hyderabad, Jawaharlal Nehru Technological University Hyderabad, Kukatpally, Hyderabad, Telangana State, India
Correspondence:
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Corresponding author. Pinapilli Ramesh, Electrical and Electronics Engineering Dept, VNR Vignana Jyothi Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana-State, 500090, India. E-mail: ramesh_p@vnrvjiet.in.
Abstract: This paper presents the design and development of Brain Emotional Learning based adaptive Type-2 Fuzzy Systems for control of dynamical systems. The BEL controller belongs to the class of bio inspired controllers, as its architecture is based on limbic system of human brain and is capable of providing solutions for complex real time problems. In this work, dynamics of Brain Emotional Learning are used for the adaptation of membership functions in the design of Type-2 Fuzzy Logic Controllers. The stability of the overall system is analysed through Lyapunov Yakubovich’s criteria. The proposed approach is validated on the benchmark system such as inverted pendulum, CSTR and Ship heading control through simulation and in real-time environment using OPAL RT OP5600.
