Efficient controls require feedback
Closing the loop with feedback improves control, measuring, and monitoring of packaging, process, and custom machinery. Checking the actual output condition and adjusting the commanded output helps machinery automatically adapt to changing conditions. Open-loop systems save money initially, but will almost always be less efficient and not as repeatable, resulting in a higher total cost of ownership.
Feedback loops can be configured in many different ways, but all have the same basic characteristics. An output signal from some type of controller drives a device that affects the controlled variable. Measurement of this variable is the feedback signal delivered to the controller (Figure 1). The controller compares the desired with the measured variable to determine the error, and adjusts its output accordingly to minimize the error, creating a closed-loop system. This is in contrast to an open-loop system where there is no measurement of the controlled variable, forcing the controller to operate blindly.
Closing the feedback loop on a process has advantages; practical examples can help illustrate basic design techniques. Installation tips and techniques below improve closed-loop control in new and retrofit feedback applications. Closed-loop motion control is more complex. (See related article links at bottom of this article.)
Closing the loop
Simple discrete feedback systems, such as sensors to detect end-of-stroke on pneumatic cylinders, or the use of discrete handshaking signals between equipment instead of timers to adjust controller output, improves control and monitoring. The same is true for properly designed closed-loop feedback on a process.
Closed-loop control—which includes measurement, computation, and correction—is taught in engineering programs across the world. Laplace transforms and related functions are studied in detail to explain and improve upon closed-loop control. The characteristics and advantages of closed-loop control systems are well documented, but closed-loop control extends beyond the theoretical to include identification of the advantages of feedback, and the application of feedback in particular machine operations and processes.
Using feedback in closed-loop systems improves control by automatically adjusting the controller output to reduce the error. This helps reduce the effects of dynamic disturbances. Feedback also adds stability to an unstable process, ensuring a repeatable and reliable control loop. Table 1 lists some of the main reasons to add closed-loop feedback to a machine or process.
Many processes have been manually "tweaked" for years, with operators adjusting the controller output to reduce the error. With today’s sensor and controller technology, many of these open loops can make use of feedback and a controller to improve operation.
Reducing human involvement in the feedback loop greatly reduces process variations, and allows for continuous improvement as control loop parameters can be continually adjusted to optimize control. These adjustments can be made automatically by various loop tuning software algorithms and programs, or manually by experienced operators. In many cases, a combination of the two methods is used, with operators evaluating recommended changes from loop tuning software, and implementing recommendations judiciously.
Use of feedback in 24/7 operations can reduce process variations and changes that may occur at shift changes as different operators put their own spin on manual loop control. It can also reduce the number of operators needed, or allow operators and other plant personnel to concentrate on other areas such as optimizing operations.
With automatic control enabled by feedback and change control functionality enforced in the controller, process repeatability is improved along with output quality.
Designing closed-loop systems
Many types of feedback devices are available to help the actual output match the desired output in process control and measurement applications. Feedback sensors measure many variables, such as temperature, flow, pressure, level, weight, and position (Figure 2). Each of these variables can be sensed or measured with a variety of transducers, transmitters, and detectors. Because they are so many choices with widely varying costs and performance, the feedback device must be carefully selected. A checklist to help with some common specifications is included in Table 2, and it can be used as a guide when selecting the proper feedback sensor.
Once the type of sensor is chosen—a temperature sensor, for example—measurement range is often the driving requirement. It’s important to leave enough headroom for unexpected changes or process upgrades, but not to excess as this will negatively impact accuracy, increase costs, or both. If the sensor measurement range is properly specified, then most other specifications will fall into place. Feedback sensor accuracy and resolution are other important requirements to carefully consider, whether the sensing element is part of a transmitter or a signal conditioner is used.
There are two main types of sensing devices, analog and digital, also referred to as a smart sensor.
With an analog sensor, the resolution of the sensing device output and its corresponding analog input at the controller must be considered. Whenever possible, it’s best to stick with the common 12-bit resolution as this cuts cost and promotes standardization. Upgrading to higher resolution 16- or 20-bit devices and inputs is of course possible, but it’s often not necessary.
In fact, in cases where higher resolution is needed, it’s often best to instead use digital or smart sensors. These devices connect to the controller over a high-speed and high-resolution digital data link. Although more expensive than their analog counterparts, they are often cheaper than very high resolution analog sensors and input cards. But, even high-speed digital communication networks can’t match the speed of analog, so loops requiring very quick response times are often better served with analog.
If a temperature transmitter with 0 to 100 C range and <0.02 C resolution works with the application, a 12-bit analog input card will be sufficient to maintain the desired accuracy. In another example, a pressure transmitter has 11-bit resolution. Dividing the total range of the transmitter by 2,048 shows the pressure change required to see a corresponding change in the transmitter’s analog output. With a common 0-100 psi pressure transducer, 100/2,048 = 0.05, so the transducer will change its output by one step for every 0.05 psi pressure change. This level of resolution is adequate for most applications, particularly given the vagaries of total system measurement and control.
If multiple feedback devices are present, the feedback output signal should stay consistent wherever possible. Mixing 4 to 20 mA, 0 to 20 mA, 0 to 5 V dc, 0 to 10 V dc, +/-10 V dc, thermocouple and RTD signals can increase the complexity of a control system. Feedback output signals can be specified at a common signal level such as 4 to 20 mA, or interposing devices can be used to convert other signals to a standard 4 to 20 mA.
Specifying the appropriate feedback device for the environment is an important design consideration. Harsh chemicals can rapidly damage improperly specified devices, and caustic liquids and gases will accelerate the deterioration of standard feedback devices. Checking the selection of the feedback device using chemical resistance charts is a good practice, along with questioning knowledgeable suppliers and comparing specifications to the environment. For example, a device carrying a NEMA 4X specification will be suitable for application in outdoor areas listed by the National Electrical Manufacturers Association (NEMA).
Feedback on vital process must be addressed and carefully specified, and redundancy and fail-safe feedback techniques are often necessary. Backup systems or duplicate feedback control methods should be considered if the machine or process must continue if something fails, and the same is true if the machine or process must automatically shut down on a failure. Dynamic response, or signal response time, should be reviewed. A typical dynamic response of 0.5 seconds to reach a 50% full-scale change works well for most applications. However, some sensors can be much slower or much faster to respond, affecting feedback loop performance. A slower dynamic change can smooth and improve system stability, but an overly fast response can make a loop unstable.
Feedback in practice
Although sensor feedback and closed-loop control is taught in most engineering programs, some skimp on sensors to save upfront costs, often neglecting the long-term benefits of closed-loop control. Improving efficiency and reducing process waste are real benefits of feedback in control systems; although they are harder to evaluate than upfront costs, they still must be carefully calculated and considered.
Improving precision, increasing throughput, and enhancing quality are possible with proper feedback. For example, maintaining a steady, reliable head pressure of product in a filling machine’s hopper is achieved with feedback sensors, and is a simple solution to improve accuracy. Providing a consistent and regulated supply of ingredients improves product quality. Careful, automatic control of material feed reduces spillage and increases productivity, and required changes are automatically enabled by proper feedback and design of closed-loop control.
A programmable logic controller (PLC) or programmable automation controller (PAC) provides logic in many closed-loop systems, and provides significant configuration options. Smart relays and low-cost PLCs can be configured to respond to feedback programmatically. Control of the percent on time of a contactor controlling a heating element is an example of simple closed-loop control. Although this type of feedback and control works in many applications, it does not respond to input disturbances as well as more sophisticated means, such as proportional-integral-derivative (PID) control or advanced control methods.
Higher end PLCs will have built-in PID control, which will provide a much higher degree of control, particularly if the PID parameters are set correctly. The PID control output is generally sent to an analog output channel, or may be used as a time proportion on a discrete output. With analog control, the output can also be used as a setpoint to another loop for cascade control.
When designing a control system, feedback and closed-loop systems can greatly enhance performance. Identify areas where feedback can improve and optimize machine operation and process control. Carefully select from the wide variety of available process control and measurement sensors, and make sure each loop is programmed with the right parameters. Following these steps will improve operation of your machines and processes, while reducing labor requirements and enhancing quality.
– Bill Dehner is an engineer with AutomationDirect; edited by Mark T. Hoske, content manager, Control Engineering, firstname.lastname@example.org.
- Feedback and closed-loop systems can greatly enhance control system performance and improve and optimize machine operation and process control.
- Select sensors appropriately to provide reliable measurements.
- Ensure each control loop is programmed with the right parameters.
If quality is slipping and waste is increasing, where can closed-loop control correct parameters before product gets out of specification?
About the author: Bill Dehner has spent the majority of his 10-year engineering career designing and installing industrial control systems for the oil and gas, power, and package handling industries. He holds a bachelor’s degree in electrical engineering and is currently working for AutomationDirect as an engineer.
– See related article about closed-loop motion control and other control design and feedback articles below.