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Ask the Automation Pros: What Is the Best VFD Design and Installation Plan?

The following discussion is part of an occasional series, “Ask the Automation Pros,” authored by Greg McMillan, industry consultant, author of numerous process control books and 2010 ISA Life Achievement Award recipient. Program administrators will collect submitted questions and solicit responses from automation professionals. Past Q&A videos are available on the ISA YouTube channel; you can view the playlist here. You can read posts from this series here.

Greg McMillan’s Question

What is the best variable frequency drive (VFD) design and installation plan considering noise, linearity, slip, reliability, rangeability and response time?

Erik Cornelsen’s Response

When selecting a VFD for an application, I consider a few key factors to ensure optimal performance. Understanding the relationship between torque and speed is fundamental. Applications generally fall into two categories: constant torque, like conveyors, material handling systems and hoists, or variable torque, where torque is proportional to the square of the speed, as in fans and pumps. Most VFD manufacturers provide models tailored to these categories, making it easier to choose the right one.

Matching the VFD to the motor is equally important. Selecting a VFD with a power rating slightly above the motor's ensures it can handle the application without strain or performance issues.

During commissioning, I configure parameters such as motor nameplate details and acceleration/deceleration ramp times and then perform an auto-tune operation. This allows the VFD to account for actual installation factors like cable distances and fine-tune its settings for optimal performance.

These are the basic steps to get the motor running, but fine-tuning is often necessary to tailor the system for the specific application. I monitor and adjust parameters such as duty type (heavy or normal, selecting heavy for higher overload tolerance), motor control mode (e.g., vector control or V/f), maximum motor frequency, control method (e.g., Ethernet or hardwired signals), brake release configuration (if the motor has a brake) and IGBT switching frequencies.

Many of these adjustments are guided by field observations, alarms and warnings displayed by the system. The ultimate goal is to achieve smooth operation during both starting and stopping. Key parameters I monitor include motor current and motor speed to ensure the system is functioning efficiently and reliably.

Greg McMillan’s Response

In an AC induction motor, the rotor and hence the pump shaft speed lag behind the speed of the rotating electrical field of the stator because a difference in speed is needed to provide the rotor current and consequently the torque to balance any motor losses and the load torque from pump operation. This difference in speed between the stator field and the rotor of the motor is called slip. There is a dynamic slip for large changes in the pump load (e.g., static head) or desired flow rate (speed signal). There is also a steady-state slip for operation at a particular load and speed.

It is important to note that VFD speed slip is not the same as valve stroke slip. In speed slip, the speed still responds smoothly to a change in the drive signal. At low speed, the loss in pump efficiency and an increase in slip cause a dip in flow. Slip affects the minimum controllable speed and hence the VFD rangeability, particularly for high static heads.

In a synchronous motor, the rotor is designed to inherently eliminate slip so the rotor speed is at the synchronous speed of the stator. Synchronous motors are significantly more expensive and complicated and are used only where inherent fast and precise speed regulation is needed. Synchronous motors have been used for ratio control of reactants or additives, where small transients or offsets in the speed could cause a significant variation in the product concentration.

If there were no static head and no slip, and the motor and frame are properly designed to prevent overheating at low flows, the rangeability of a VFD would be impressive. A drive with closed-loop slip control by the cascade of speed to torque control can achieve a rangeability of 80:1, which is comparable to the rangeability of a magnetic flow meter.

When the pump head is operating near the static head, the minimum controllable flow is set by rapid changes in the static head and frictional loss. These rapid changes could be due to noise and sudden or large disturbances. The speed cannot be turned down below the amplitude of these fast fluctuations. The rangeability for a static head that is more than 30% of the system head at 100% speed is only 2:1, regardless of drive technology.

What is interesting is that a control valve's rangeability deteriorates for a valve pressure drop that is less than 30% of the system pressure drop. Thus, if you had a situation where the frictional losses in the piping are low, like in pH control, but the static head was high, a control valve with minimal stiction and lost motion would have much greater rangeability than a VFD.

Here are some best practices for VFD design and installation:

  • High-resolution input cards
  • Pump head well above static head
  • On-off valves for isolation
  • Design B TEFC motors with class F insulation and 1.15 service factor
  • Larger motor frame size
  • XPLE jacketed foil/braided or armored shielded cables
  • Separate trays for instrumentation and VFD cables
  • Inverter chokes and isolation transformers
  • Ceramic bearing insulation
  • Pulse width modulated inverters
  • Minimum deadband and rate limiting in the drive configuration
  • Drive control strategy to meet rangeability and speed regulation requirements
  • If tachometer feedback control is used, speed control should be in drive not DCS
  • External reset feedback (dynamic reset limit) using tachometer or inferential speed feedback to prevent PID output from changing faster than drive can respond.

For more details, see Chapter 7 – “Effect of Valve and Variable Frequency Drive Dynamics” in my book, Tuning and Control Loop Performance, Fourth Edition. It is available as a free download. Another extensive resource is The Control Techniques Drives and Controls Handbook, edited by Bill Drury and published by The Institution of Electrical Engineers, London.

Michael Taube’s Response

Both Greg and Erik have addressed aspects of VFD applications that I never considered (or would have thought of)! Admittedly, my exposure to VFD application has been limited to just some pump applications and, invariably, the controls design (by others) was less than optimal: In most instances two separate controllers were implemented, one using the VFD and another manipulating a control valve to “control” the same variable (e.g., level, flow, etc.), which, of course resulted in the controllers “fighting” each other, or as the operators would say: “It just doesn’t work!”

When I’ve encountered such applications, I recommend that the VFD be used as a valve position controller that adjusts the motor speed to keep the control valve (which maintains the process variable of interest, e.g. level, flow, etc.) in some “optimal” range (nominally 60-70%). The VFD controller would be tuned to react to changes in the control valve position “slowly,” perhaps even using an error-squared algorithm, as well as a filtered value of the valve position. There’s no need to have the VFD react to every tick, jerk or movement of the control valve.

Thinking further on the topic, I have to question why have both a VFD and a control valve? Some years ago, when meeting with a prospective client about implementing pipeline automation, the client pointed out that it was far more energy efficient (meaning, lower in operational cost) to modulate the speed of the pipeline pump(s) rather than run them at constant power and then dissipate that energy across a control valve. So, if “energy efficiency” is the justification for using a VFD, then don’t bother with a control valve! And, as you point out, there is turn-down performance in addition to system hydraulics to consider if pursuing such a design. 

Matthew Howard’s Response

My experience is in line with Michael’s second paragraph. We use VFDs with no valves for optimum energy efficiency. If we have a valve downstream, it is often due to the minimum pumping of the VFD being too large for the process, so the valve is used to backpressure, usually in a split-range control scheme. A “valve” position controller is better, but I would prefer to move the VFD more quickly than the valve. This is because the VFD has more precision and no stiction.

Also, my experience in pulp and paper is that there are “drives guys” and “controls guys.” My experience is limited, but drives seem to be a subset of controls that is very specialized and electrical in nature, similar to our quality control system (QCS) scanner systems. It is unlikely in my experience for a DCS manager to spec out and be an expert in VFD selection and installation.

Michel Ruel’s Response

I agree with the comments from my colleagues and would like to add my thoughts on loop tuning with VFDs. Proper VFD configuration is crucial, and a common mistake is using inappropriate parameters, particularly the current limit and acceleration/deceleration ramps.

When a PID controller sends a signal to the VFD, if the change is within the configured limits, the control loop behaves as expected. However, if the PID controller requests a large change, the VFD's limits (e.g., current limit or ramp time) will restrict its behavior. This restriction can cause the loop to appear as if it has a large time constant, which may lead to the mistaken conclusion that a higher proportional gain is needed.

If the loop is tuned for large changes (which involve these limits), it will work well for those cases. But when the process variable (PV) is close to the setpoint (SP) and the PID controller makes small adjustments, the dynamics change. The apparent time constant for these small changes becomes much smaller, which can lead to oscillations in the loop.

It is common to see cycling loops with VFDs when the PV is close to the SP. The key is to focus on tuning for small changes, rather than large ones. Properly setting the VFD parameters is also essential to ensure stable loop performance.

Greg McMillan’s Follow-Up

As I previously noted, there is a serious decline in VFD rangeability when the static pressure is large compared to the system pressure drop. A possible option to extend the rangeability I have not tested, but was mentioned in an email to me eight years ago by ControlSoft Inc., is the option of installing a throttling valve that is normally wide open. Split-range control is used to start to throttle the valve when the VFD reaches its low-speed limit to move the intersection of the system curve with the VFD curve to a lower flow on the plot of pressure versus flow. The tuning for when the VFD speed is being modulated and when the throttle valve is being positioned is quite different, requiring scheduling of the tuning settings. Directional move suppression offered by external reset feedback might be useful in suppressing unnecessary crossings of the split range point. Also, moving the speed control from the drive into the DCS can result in complications in coordination with speed to torque cascade control and a slower response due to DCS scan time and update rate. In the meantime, more information on variable speed drives can be found in my book, published by ISA, Essentials of Modern Measurements and Final Elements.

More Advice on VFDs

ISA senior member Peter Morgan provides his insights on variable frequency drives in the PDF resource on this topic. He discusses a modelling project he has just started and some of his previous and earliest experiences with pump control. He has experience, for example, using a valve directly to control flow and modulating pump speed to maintain constant differential pressure across the valve. “This and other possible alternatives for flow control using a variable speed pump, either as the only means of flow control or in combination with valve adjustment, will be the subject of a planned study by Greg McMillan and me, with an article forthcoming soon,” Morgan said.

About the Authors

Erik Cornelsen is an automation and process control engineer at DPS Group, a leading system integrator based in Scotland. With over a decade of experience, Erik has worked and lived in six countries, contributing to diverse industrial sectors, including food and beverages, logistics and construction materials. He holds a master’s degree in mechanical engineering from INSA de Lyon (France) and is a Chartered Engineer, a member of the Institution of Mechanical Engineers (UK), and an active member of ISA.

ISA Fellow Gregory K. McMillan (https://www.linkedin.com/in/greg-mcmillan-5b256514/)

retired as a Senior Fellow from Solutia Inc. in 2002 and retired as a senior principal software engineer in Emerson Process Systems and Solutions simulation R&D in 2023. McMillan is the author of more than 200 articles and papers, 100 Q&A posts, 80 blogs, 200 columns and 20 books. McMillan received the ISA Lifetime Achievement Award in 2010, the ISA Mentor Award in 2020 and the ISA Standards Achievement Award in 2023. He was also one of the first inductees into the Control Global Process Automation Hall of Fame in 2001.

Michael Taube is a principal consultant at S&D Consulting, Inc. Serving the greater process industries as an independent consultant since 2002, he pursues his passion to make things better than they were yesterday by identifying the problems no one else sees or is willing to admit to and willingly “gets his hands dirty” to solve the problems no one else can. Due to the continued occurrence of individual injuries and fatalities as well as large-scale industrial incidents, he collaborates with operational excellence and safety culture experts to promote a real and lasting cultural shift in the process industries to help make zero incidents a reality. He graduated from Texas A&M University in 1988 with a bachelor of science degree in chemical engineering.

Matthew Howard is the pulp mill area systems manager for Sappi North America, Somerset Mill, Skowhegan Maine, a large fully integrated pulp and paper manufacturing facility. He is responsible for multiple DCS systems maintenance and integration. He prefers to use his UMaine chemical engineering and technical background to implement process improvements with or without capital investment. Informed by an early stint as a frontline supervisor, he also strives to steadily improve the operator effectiveness of his plant in accord with ISA standards ISA-101 and ISA-18.2.

ISA Fellow Michel Ruel is a recognized expert in process control and control performance monitoring and a frequent speaker. Now retired, he led a team that implemented innovative and highly effective control strategies across a wide range of industries, including mining and metals, aerospace, energy, pulp and paper and petrochemicals. An accomplished author of numerous books and publications, Ruel is also a software designer specializing in instrumentation and process control. He is the founding president of Top Control Inc. and has contributed to projects in multiple countries.

Peter Morgan is an ISA senior member with more than 40 years of experience designing and commissioning control systems for the power and process industries. He was a contributing member of the ISA 5.9 PID committee, for which he won the ISA Standards Achievement Award, and is a frequent feature article author.

Greg McMillan
Greg McMillan
Greg McMillan has more than 50 years of experience in industrial process automation, with an emphasis on the synergy of dynamic modeling and process control. He retired as a Senior Fellow from Solutia and a senior principal software engineer from Emerson Process Systems and Solutions. He was also an adjunct professor in the Washington University Saint Louis Chemical Engineering department from 2001 to 2004. Greg is the author of numerous ISA books and columns on process control, and he has been the monthly Control Talk columnist for Control magazine since 2002. He is the leader of the monthly ISA “Ask the Automation Pros” Q&A posts that began as a series of Mentor Program Q&A posts in 2014. He started and guided the ISA Standards and Practices committee on ISA-TR5.9-2023, PID Algorithms and Performance Technical Report, and he wrote “Annex A - Valve Response and Control Loop Performance, Sources, Consequences, Fixes, and Specifications” in ISA-TR75.25.02-2000 (R2023), Control Valve Response Measurement from Step Inputs. Greg’s achievements include the ISA Kermit Fischer Environmental Award for pH control in 1991, appointment to ISA Fellow in 1991, the Control magazine Engineer of the Year Award for the Process Industry in 1994, induction into the Control magazine Process Automation Hall of Fame in 2001, selection as one of InTech magazine’s 50 Most Influential Innovators in 2003, several ISA Raymond D. Molloy awards for bestselling books of the year, the ISA Life Achievement Award in 2010, the ISA Mentoring Excellence award in 2020, and the ISA Standards Achievement Award in 2023. He has a BS in engineering physics from Kansas University and an MS in control theory from Missouri University of Science and Technology, both with emphasis on industrial processes.

Books:

Advances in Reactor Measurement and Control
Good Tuning: A Pocket Guide, Fourth Edition
New Directions in Bioprocess Modeling and Control: Maximizing Process Analytical Technology Benefits, Second Edition
Essentials of Modern Measurements and Final Elements in the Process Industry: A Guide to Design, Configuration, Installation, and Maintenance
101 Tips for a Successful Automation Career
Advanced pH Measurement and Control: Digital Twin Synergy and Advances in Technology, Fourth Edition
The Funnier Side of Retirement for Engineers and People of the Technical Persuasion
The Life and Times of an Automation Professional - An Illustrated Guide
Advanced Temperature Measurement and Control, Second Edition
Models Unleashed: Virtual Plant and Model Predictive Control Applications

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