附录
CONTROL, PID CONTROL, AND
ADVANCED FUZZY CONTROL
FOR SIMULATING A NUCLEAR
REACTOR OPERATION
XIAOZHONG LI and DA RUAN*
elgian Nuclear Research Centre (SCKoCEN
Boeretang 200, 8-2400 Mol, Belgium
(Received 15 March 1999)
reactor then Based on the background of fuzzy control applications to the first nuclear reactor in Belgium (BRI) at the Belgian Nuclear Research Centre (SCK.CEN), we have made a real fuzzy logic control de
mo model. The demo model is suitable for us to test and com- pare some new algorithms of fuzzy control and intelligent systems, which is
advantageous because it is always difficult and time-consuming, due to safety aspects, to do all
experiments in a real nuclear environment. In this paper, we first report briefly on the
construction of the demo model, and then introduce the results of a fuzzy control,
a proportional-integral-derivative (PID) control and an advanced fuzzy control, in which
the advanced fuzzy control is a fuzzy control with an adaptive function that can
Self-regulate the fuzzy control rules. Afterwards, we present a comparative study of those
three methods. The results have shown that fuzzy control has more advantages in terms
of flexibility, robustness, and easily updated facilities with respect to the PID control of
the demo model, but that PID control has much higher regulation resolution due to its
integration term. The adaptive fuzzy control can dynamically adjust the rule base,
therefore it is more robust and suitable to those very uncertain occasions.
Keywords: Fuzzy control; PID control; fuzzy adaptive control; nuclear reactor
I INTRODUCTION
Today the techniques of fuzzy logic control are very mature in most
engineering areas, but not in nuclear engineering, though some research has been done (Bernard, 1988; Hah and Lee, 1994; Lin et al. 1997; Matsuoka, 1990). The main reason is that it is impossible to do experiments in nuclear engineering as easily as in other industrial areas. For example, a reactor is usually not available to any individual. Even for specialists in nuclear engineering, an official licence for doing any on-line test is necessary. That is why we are still conducting projects such as "fuzzy logic control application" in BRl (the first nuclear reactor in Belgium) (Li and Ruan, 1997a; Ruan, 1995; Ruan and Li, 1997; 1998; Ruan and van der Wal, 1998). In the framework of this project, we find that although there are already many fuzzy logic control applications, it is difficult to select the most sui-
table for testing and comparison of our algorithms. Moreover, due to the safety regulations of the nuc
lear reactor, it is not realistic to perform many experiments in BRl. In this situation, we have to conduct part of the pre-processing experiments outside the reactor, e.g., com-
parisons of different methods and the preliminary choices of the parameters. One solution is to make a simulation programme in a computer, but this has the disadvantage that in which, however, the real time property cannot be well reflected. Therefore another solution has adopted, that is, we designed and made a water-level
control system, referred to as the demo model, which is suitable for our testing and experiments. In particular, this demo model (Fig. 1) is designed to simulate the power control principle of BRl (Li et al., 1996a,b; Li and Ruan, 1997b).
In this demo model, our goal was to control the water level in tower TI at a desired level by means of tuning VL (the valve for large control tower T2) and VS (the valve for small control tower T3). The pump keeps on working to supply water to T2 and T3. All taps are for manual tuning at this time. VI and V2 valves are used to control the water levels in T2 and T3 respectively. For example, when the water level in T2 is lower than photoelectric switch sensor 1 then the on-off valve V, will be opened (on), and when the water level in T2 is higher than photoelectric switch senso
r 2 then the on-off valve Vl will be closed (off). The same is true of V2. Only when both VI and V2 are closed V3 will be opened, because it can decrease the pressure of the pump and thereby prolong its working life. The pressure sensor is used to detect the height of water level in TI. So for TI, it is a dynamic system with two entrances and one exit for water flow.
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