System Integration & Control Systems Design


Problems in a plant with no positioners on valves

February 2002 System Integration & Control Systems Design

During the two-day practical part of a course held recently in a large South African chemical plant, it was found that none of the valves had positioners on them. This is very unusual these days.

The primary purpose of a positioner on a spring and diaphragm operated valve is to minimise hysteresis, and to ensure that the valve stem gets reasonably close to the position as requested by the controller output (PD). Hysteresis on valves without a positioner can normally be as high as 3 to 5%. This figure should be 1% or better when a positioner is used. In the early days, positioners were often thought to lead to instability in fast loops. However, these days reputable valve manufacturers ensure that their positioner-valve combinations are stable.

The plant where the course was being held had rather complex processes, which required good controls for optimum performance. As mentioned many times in these articles, good control performance cannot be obtained if valves do not operate properly. This is even more important on slower processes. Therefore, it was not surprising to find that the vast majority of the controls analysed during the course were performing dismally.

The example discussed in this article is a liquid flow control with extremely high valve hysteresis.

The initial closed loop 'as found' test is illustrated in Figure 1. In this type of test, setpoint changes firstly up and then down are performed on the controller, which is in automatic. The control parameters as found in the controller were P = 0,8, and I = 20 seconds/repeat. With experience, one can immediately judge that these are not very good tuning parameters for liquid flow control.

Figure 1
Figure 1

At the start of the test it can be seen that the process is not exactly on setpoint, and that the PD (controller output) is also remaining fairly constant. This is an indication confirming that the integral setting in the controller is far too slow. The process response to the step-up in setpoint shows an initial fast rise with a little overshoot followed by a slow ramp up to setpoint taking some 3 minutes. This is a typical response of a flow loop with too high a proportional gain, and too slow an integral setting.

The step-down in setpoint is very interesting, as it appears to be completely different to the previous response on the way up. Surely a flow loop should have pretty similar responses to setpoint changes up and down? The reason that there is a difference is because there is a valve problem. On deeper inspection of the response it can be seen that the controller output dropped immediately on the setpoint change, but the flow did not start moving for nearly 10 s. This is far too long to be the normal deadtime of a flow loop, which is generally much less than 2 s. This indicates that there is excessive hysteresis in the valve and that the output of the controller had to drop a certain amount to get the valve to start moving in the reverse direction. In fact the output had to drop nearly 10% before the valve started moving and only then did the flow start coming down.

The open loop test confirmed the fact that the valve did in fact have more than 10% hysteresis. Figure 2 shows a portion of the test where the valve direction is reversed, and it is necessary to move the output just over 10% before the flow starts cutting back.

Figure 2
Figure 2

10% hysteresis in a valve is really unacceptable. As mentioned above, a valve without a positioner should not have hysteresis exceeding 3%. So although this valve is really bad, a positioner would have helped to reduce the hysteresis considerably.

When tuning a process with hysteresis on the valve it is very important that one chooses a step to tune on which represents the true process response, and not one where the size of the response might be affected by hysteresis in the valve. Typically, many tuning packages and self-tuning controllers use a single step for the tuning. If that step was the first step after the valve had reversed, a certain amount of the energy supplied by the actuator might actually have been absorbed in getting the valve to move through any hysteresis, thus limiting the size of the response. The tuning parameters obtained from such a step may cause the response in automatic to be too cyclic or even unstable.

The other thing to remember when tuning a loop with excessive hysteresis in the valve is to choose a response that will result in minimum valve reversals on changes in load or setpoint. If for example, one was to tune for a quarter amplitude damped response, then theoretically the valve would reverse at least 8 times on every setpoint change. If this was to take place on a valve with excessive hysteresis it would literally take many minutes, if not hours, for the controller integrator to reverse the valve each time, as the output has to move fully through the hysteresis band before the valve can move. Therefore, it would be preferable to choose a critically damped response, which avoids reversing the valve completely on a setpoint change.

As a point of interest, we never advocate quarter amplitude damped tuning for a variety of good reasons. Amongst them are that such a response is too close to instability in real-life plant conditions where changes are may frequently occur. Also is it a good idea to reverse a valve 8 times every time you move it? It's certainly going to wear out pretty quickly. Next as mentioned above, if there is hysteresis on a valve (and most valves do have even a little hysteresis), reversing it actually slows down the response and increases control variance. In reality, quarter amplitude damped tuning is not practical.

Figure 3 illustrates the final closed loop test with tuning of P = 0,2, and I = 1,5 seconds/repeat. The tuning is close to critical damping and the vastly improved response to setpoint changes in both directions can be clearly seen. The response time even with such a relatively slow tune is now only 25 s! Note that the new tuning incorporates an integral setting, which is about 14 times faster than the original setting.

Figure 3
Figure 3

It is quite interesting to observe that even with the slow tune that there was a slight negative overshoot after the setpoint change down, and it can be seen how long it took for the controller output to integrate back-up before getting the valve to reverse and hence return the flow to setpoint.

Michael Brown Control Engineering

(011) 486 0567

[email protected]

www.controlloop.co.za

Michael Brown is a specialist in control loop optimisation, with many years of experience in process control instrumentation. His main activities are consulting, and teaching practical control loop analysis and optimisation. He gives training courses that can be held in clients' plants, where students can have the added benefit of practising on live loops. His work takes him to plants all over South Africa, and also to other countries.



Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Containerised Solar Solution Accelerates Delivery of Riverside 3 MW Power Plant
Proconics System Integration & Control Systems Design
      Project & Industry    Proconics was engaged by NewFields to deliver the electrical integration solution for the Riverside 3 MW Solar Power Plant in Zimbabwe. The project required a compact, modular ...

Read more...
Modern Energy Metering Solution Enhances Reliability and Reporting for Major Power Utility
SAM Systems Automation & Management System Integration & Control Systems Design
Project & Industry This project involved the implementation of a modern energy metering system for a major power utility operating within the industrial automation and energy management sector. The objective ...

Read more...
Loop signature Part 2-4: Feedforward Control: Part 3
Michael Brown Control Engineering Editor's Choice Fieldbus & Industrial Networking
In the previous articles in this series, the basic theory behind feedforward control was discussed, and it was also shown how to apply feedforward in practice. In this article, it will be shown how well feedforward can work in practice by giving a couple of examples.

Read more...
Loop signature Part 2-3: Feedforward Control: Part 2
Michael Brown Control Engineering Editor's Choice Fieldbus & Industrial Networking
Feedforward control tuning is not nearly as critical as feedback tuning, and fairly simple models are usually fine for the purpose in hand.

Read more...
PCS Global
PCS Global System Integration & Control Systems Design
Project and industry: PCS Global led a digital infrastructure initiative in a southern African data centre setting, aiming to merge several essential operational systems into one cohesive platform. ...

Read more...
Seamless migration from ET 200M to ET 200SP HA for future-ready automation
Moore Process Controls System Integration & Control Systems Design
Project and industry: Moore Process Controls undertook a modernisation initiative spanning the mining, petrochemical, and oil & gas sectors. This project involved upgrading legacy Siemens ET200M I/O ...

Read more...
Loop signature Part 2-2: Feedforward Control: Part 1
Michael Brown Control Engineering Fieldbus & Industrial Networking
Feedforward control is a powerful technique that can dramatically improve control variance in cases where load changes cause big deviations from setpoint and the actual process dynamics are too slow to allow the feedback controller to operate fast enough to catch these disturbances.

Read more...
Proconics Modernises Refinery Tank Automation with Compliance-Focused, Brownfield Upgrades
Proconics System Integration & Control Systems Design
Project & Industry Proconics was engaged to modernise automation and SCADA systems across a refinery tank farm. The project involved complex brownfield integration, aligning new automation with existing ...

Read more...
Project & Industry
System Integration & Control Systems Design
Project: Upgrading essential automation and SCADA systems at a coal mine.    Outcome: A modern, stable automation and SCADA environment with reduced technical debt and easier support, ready for expansion. ...

Read more...
Major digital transformation project for Isuzu Motors
System Integration & Control Systems Design
Isuzu Motors South Africa, in partnership with NoMuda and S4 Integration, has kicked off a major two-year digital transformation project to modernise its production environment.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved