Last updated 26 September 2017

Loop Problem Signatures No 31

 

Non-linearity in control loops (part 2)

 

(This article is a continuation of Loop Signature No 30, exploring reasons for non-linearities which may be encountered in feedback control loops). 

 

Operating valve outside linear (or linearised) range

 

One can only expect to operate with linear installed characteristics within certain ranges on most valve types. For example most ordinary type butterfly valves are normally only used for control up to about 65% wafer opening position. Above this point the inherent valve characteristics change quite dramatically, and also these valves can exhibit instability above this point.

 

Apart from this, valves of most types can exhibit bad non-linearity and even instability when operating too close to seat.  An old rule of thumb is that under normal control conditions, one should work with a valve position above 20% opening.

 

The solution to this is to size and stroke valves properly. (In the case of butterfly valves they should be stroked between 0 and 65%).

 

Non-linear processes

 

There are many processes that exhibit non-linearity.

 

Typically:

 

  • Heat exchanges are very non-linear with changing load.
  • Gravity feed tanks (i.e. tanks that do not have a pump on the output), exhibit continually changing process gain with changing level.
  • Another good example of non-linear integrating processes is non-uniform vessels like horizontal cylindrical tanks.
  • pH control is very non-linear. Although a pH measuring system is linear, the actual titration curve of a fluid is not, so different tuning is required when controlling at different pH's.

Solutions to this type of non-linearity are to use gain scheduling or in the case of non-linear tanks, one can "linearise the measurement" by using a calculation block available in many modern transmitters that allows one to program the shape of the vessel into the transmitter. The transmitter then effectively calculates an output that is proportional to volume, which will allow one to control the level in the tank with constant process gain.
 

Non-linear load changes

 

Load changes can often result in changing process dynamics, particularly in process gain. For example pump characteristics of many types of pumps and blowers can be very non-linear, resulting in changing process gain as the load changes.

 

Other examples are found in controls where pump staging is sometimes used. For example under light loads only one pump might be used, but as the load increases a second parallel pump might be switched on. At that time the process gain will double, and a control loop may go unstable.

 

Figure 5 illustrates such a case that was recorded recently in a power station. The loop in question is a cascade flow secondary whose setpoint is the output of the level controller in a large tank. Under certain circumstances the flow to the tank is doubled opening a second line. (It has a similar effect as if a second pump had been started). As soon as this happens the setpoint is immediately increased substantially. It can be seen how the flow starts oscillating. This is most likely to be due to a virtual doubling in process gain, without changing the tuning. The cycling ceased as soon as the flow was reduced again, and setpoint taken back down.

Figure 5

 

The best solution to these types of problems is to employ gain scheduling.

 

Process Saturation

 

Possibly not really non-linearity, but resembling it, process saturation occurs where the process reaches a limited state, and as a result the process gain changes, with much smaller movements on the PV.

 

Figure 6 is taken from an open loop test on an airflow in a brewery. It shows the flow responding well as the PD is increased. However after a certain point the flow changes in relation to the PD changes get smaller, until further changes in PD produce no flow increases at all. It is fairly obvious that the pressure in the line is insufficient to allow any more flow.

Figure 6

 

 

In a case like this the instrument and control practitioner should consult with the process experts to ascertain if this situation is always the case, or if further flow could be obtained under other conditions. (For example possibly air is being drawn off the header to some other circuits whilst we were doing the test). If the answer is that the saturation is normal, and no further flow will ever be experienced, then bearing in mind that as shown in Figure 6 a maximum flow of 63% is reached when the controller output is at 60%, two important things should be performed which are good I&C practice and will not cost the plant any money except for some expenditure in time. These are:

 

  • Airflow in most plants is normally measured by the use of a differential pressure measurement across an orifice plate, or averaging pitot. These are very inaccurate devices typically being about ±2% F.S., over an absolutely maximum range of 4:1. This means that normally we can measure between 100% and 25% of the flow range with relatively poor accuracy, which increasingly gets worse as we get lower down the scale. In this case our measurement is being cut off above 63%, leaving a very limited range of 38% with very poor accuracy to work in. Therefore the transmitter should be respanned to give a maximum reading when the flow is at 63%.
  • The valve is in fact oversized, as a maximum flow is reached at 60% valve opening. Therefore a high limit should be placed on the controller output at this point (or very slightly above to allow a little safety margin). This has two benefits. Firstly most controllers freeze the integral when a controller's output reaches a limit to minimise reset windup, and secondly it prevents mechanical windup by preventing the valve moving into a region where it cannot do anything to increase the flow. This is a very important point, and it should be noted that in fact that a similar high limit should be placed on the controller output on every single loop with an oversized valve!

 

Incorrect measuring techniques

 

This is pretty self-explanatory. For example a differential head flow-metering device should have a square root extractor placed in the transmitter or in the controller (but not in both, as I have seen on several occasions).

 

Calibration drift

 

Also fairly self-explanatory. Calibration drift, particularly on span calibration, either in the transmitter and/or in the valve stroking, would cause changes in process gain.

 

Interactive processes

 

Not always very obvious, interactive feedback control loops can, and often do affect each other's response dynamics. It is quite possible that if you tune two feedback loops to minimise interaction between them, you may find the one suddenly going unstable, or alternatively very sluggish when the other loop is placed in manual.

 

Split-range control

 

Split range control is where the output of a controller is divided into two sections, each often feeding a separate valve. For example this strategy is sometimes used in heating/cooling control system. Commonly when the control strategy is designed and initiated, the ranges are split say 50% - 50%, irrespective of the actual dynamics of each segment. This is incorrect; the split should in fact be determined experimentally, by doing step changes in manual in both regions, and then splitting the range so that equal process gain is encountered in both segments.

 

Changes with time

 

The most difficult factor of all for feedback control to deal with is ageing. Unfortunately just as our own human dynamics change with time, so do those in process control loops. For example boilers scale up. Friction in valve packing may change. Play in mechanical linkages can increase causing bigger dead bands. As these types of factors change so do the dynamics. Just out of interest, some enterprising users of the Protuner use its modelling function to plot such changes, and after documenting a repetitive history of the ageing, they use it for predictive maintenance. This technique has worked very successfully.

 

If the factors that are changing cannot be corrected, then the only other solution is to retune the controller. If ageing factors are predictable then gain scheduling can be employed. In certain rare processes I have encountered in petro-chemical refineries, the properties of a particular catalyst change over very short periods of time in a completely non-predictable way. This is extremely difficult to deal with using feedback control.  The only possible solution is to use a continuous self-tuning controller if you can find one that will work in those circumstances.

 

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