Fuzzy Sliding Mode Controller with Gain Auto-tuning for Un-symmetric Input Temperature Control System

Author(s):  
Shiuh-Jer Huang ◽  
Hung-Yi Chen ◽  
Chen-Chuan Wang
2011 ◽  
Vol 34 (4) ◽  
pp. 388-400 ◽  
Author(s):  
A Zargari ◽  
R Hooshmand ◽  
M Ataei

One of the main problems in small hydro-power plants that are locally used is their frequency control system. In this paper, a suggested control system based on the fuzzy sliding mode controller is presented for controlling the network frequency. Also, the proposed control strategy is compared with a PI controller and conventional sliding mode controller. In order to regulate the membership functions of fuzzy system more accurately, the particle swarm optimization algorithm is also applied. Moreover, because of unavailability of the control system variables, an estimator is suggested for estimating and identifying the system variables. This estimator will reduce the costs of implementing the control method. The simulation results show the ability of controller system in controlling the local network frequency in the presence of load and parameter’s variations.


2012 ◽  
Vol 503-504 ◽  
pp. 1116-1119
Author(s):  
Zhuan Zhao Liu ◽  
De Shang Chang ◽  
Xin Jian Liu

With the shortage of the petroleum resources day by day, the fuel oil price is becoming higher and higher. The ship companies want to use the heavy diesel oil and inferior fuel with lower price for the marine diesel. Temperature is a variable with great inertia. Using the PID control algorithm, which will lead to the consequence of over correction in the controlling process, the advantage of sliding mode variable structure control is the small over correction. In this paper, based on thermodynamics and heat transfer theory, the mathematical model of temperature control system is built, the sliding mode movement equation and the sliding mode variable structure controller is obtained. This makes the application of temperature control take the advantage of sliding mode variable structure control.


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