Fuzzy Controller Design with Fault Diagnosis System Condition On-line Monitor Using Neural Network
This chapter presents a practical method to design and implement a fuzzy controller with system condition on-line monitor for temperatures of continuous soaking process in sugar plant. A new fuzzy control strategy is proposed to improve the control performances. The proposed strategy utilizes an innovative idea based on sectionalizing the error signal of the step response into four different functional zones. The supporting philosophy behind these four functional zones is to decompose the desired control objectives in terms of rising time, settling time and steady-state error measures maintained by an appropriate PID-type controller in each zone. Then, fuzzy membership factors are defined to configure the control signal on the basis of the fuzzy weighted PID outputs of all four zones. A method of system condition on-line monitor using neural network is presented, base on dead time, peak time, percent overshoot, steady state error, rise times, and gain of system step response. The obtained results illustrate the effectiveness of the proposed fuzzy control scheme in improving the performance and intelligent maintenance of the implemented control systems for temperatures of continuous soaking process in sugar plant.
KeywordsFuzzy controller On-line monitor Neural network
- 1.Harbeck C, Faurie R, Scheper T (2004) Application of near-infrared spectroscopy in the sugar industry for the detection of betaine. Anal Chim Acta 2:249–253Google Scholar