Feedforward Fuzzy Control Approach Using the Fourier Integral
The most effective method to compensate for the effect of measured disturbances is to use the techniques of feedforward control . It attempts to produce a control action with an effect equal and opposite to the effect of the disturbance. Crisafulli  presented a moving average identification technique to model the main process disturbance factors and then formed a feedforward control system to control the surge tanks. Gorinevsky, et al.  proposed a learning feedforward control for a robot manipulator tracking using B-spline to approximate the input shaping function. However, the exact mathematical model from the source of disturbances to the output is very difficult to obtain on-line, which limits the application of the feedforward control technique. In fact, the feedforward control law can be obtained by function mapping (FM) that takes current (and possibly past) information about the system and produces control actions to affect future system performance. In this chapter, the Fourier integral is used for the FM and a novel Fourier integral-based adaptive method is used for the feedforward controller, while the fuzzy sliding mode control (FSMC) method is used for the feedback controller.
KeywordsFuzzy Logic Controller Fourier Space Feedforward Control Fuzzy Logic Control Feedforward Controller
Unable to display preview. Download preview PDF.
- E. Rayad, “Variable structure robust control of uncertain time-delay systems,” Automatica, vol. 3, no. 34, pp. 327–332, 1998.Google Scholar
- H. Zhang, L. Cai, and Z. Bien, “A multivariable generalized predictive control approach based on T−S fuzzy model,” Journal of Intelligent and Fuzzy Systems, vol. 3, no. 9, pp. 169–190, 2000.Google Scholar