An inverted pendulum is a typically unstable and nonlinear system with multivariables and strong coupling. Fuzzy control theory is introduced to study pendulum swing angle stability problem and trolley displacement control problem. This chapter proposes Mamdani type of cascade fuzzy control design in ...
Dry end milling experiments were conducted to gather experimental data, followed by the design of Mamdani fuzzy inference system (FIS) so as to perform fuzzy logic correlation between the employed machining conditions with the tool life. Results showed remarkable prediction of tool life when compared...
E.H. Mamdani, “Applications of fuzzy algorithm for control of simple dynamic plant,” Proc. IEE, Vol. 121, No. 12, pp. 1585–1588 (1974). Google Scholar M. Sugeno, “Fuzzy control,” Nikkankogypu Publ. Co., (1988). Google Scholar K. Tanaka and M. Sano, “A new tuning met...
The result of this fuzzy inference system using Mamdani inference and centre of gravity defuzzification, is the function heating = f(temp) represented by the graph in figure 5-4.Page 88 5.1.5 Simulation Model To run a simulation based on this fuzzy system a simulation model has to be defi...
The FRBS is a Mamdani-type fuzzy system, which internally carries out the following functions: input fuzzification, rule evaluation using a predetermined inference mechanism, activated consequent rule aggregation, and output defuzzification using the center of gravity, COG, and method [10, 11]. The...
Mamdani et al., 1977 E.H. Mamdani the Application of Fuzzy Control Systems to Industrial Processes Automatic, 13 (1977) Google Scholar Gupta et al., 1986 Gupta M.M., Kiszka J.B., Trojan G.M. Multivariable Structure of Fuzzy Control System IEEE. On SMC., 16 (5) (1986) Google Schola...
In [90], a common rail hydrogen injection+ejector system is implemented, and a Mamdani fuzzy controller is designed to regulate the hydrogen pressure. The controller evaluates the error between the hydrogen pressure setpoint and its actual value and also the error change rate, giving as output ...
Design of Adaptive Fuzzy PID Controller for Speed control of BLDC Motor(无刷直流电机控制英文文献)
Cooperative evolutionary learning of linguistic fuzzy rules and parametric aggregation connectors for Mamdani fuzzy system. IEEE Trans Fuzzy Syst. 2007;15(6):168–1178. Article Google Scholar Cordón O, Herrera F, Márquez FA, Peregrín A. A study on the evolutionary adaptive defuzzification methods...
The first implementation of Zadeh’s idea was accomplished by Mamdani (see [11]) which demonstrated the ability of Fuzzy Logic Controller (FLC) for a small model steam engine. After this pioneer work, many consumer products and industrial applications using fuzzy technology have been developed and...