If you have ever been on a guided tour of an Amazon warehouse, you will find yourself inside an operations area of typically around 800,000 square feet – a space equivalent to more than 10 football pitches – distributed over four floors.
And this giant space is dedicated mostly to one activity: moving goods around. Sometimes with conveyors, other times with floor robots that look like animated paving slabs, and occasionally with robot arms for pick and place activities.
All these modes of movement share a common requirement for electric motors: from powerful types for the conveyors, to compact, high-precision products in the robot arms.
While the need for industrial motors is particularly obvious in warehouses like this, they are equally ubiquitous across all types of industrial manufacturing and production sites. A single factory can have hundreds of motors, and an IEA report from 2022 found that 70 percent of industrial power consumed is tied to electric motor and systems use . This means that any improvements in efficiency and reliability can have a significant positive impact on operational expenses and the environment.
Historical development
When electric motors first appeared in factories during the 19th century, energy efficiency wasn’t a concern, as interest focused more on their ability to replace manual labour and steam engines. However, as industries grew more complex, so did the demand for more efficient and specialised electric motors. Companies that specialised in electric motor manufacturing adapted various motor technologies, such as synchronous and asynchronous motors, to better suit the needs of specific industries .
World War 2 military contracts and the post-war economic boom provided the necessary capital for research and development, resulting in marked improvements in electric motors efficiency. In the years that followed, the focus on energy conservation and sustainability brought further attention to the efficiency of electric motors. Electric motors with reduced heat loss, lower energy consumption, and greater torque became available.
Innovation and development have continued to the present day, and no doubt into the future, to keep pace with the rapidly-evolving demands of multiple and diverse industrial environments. Motors have become highly efficient and specialised machines that are integral to modern industries around the world.
These highly advanced capabilities are based on two key factors – the electrical and mechanical properties of the motors themselves, and the capabilities of the electronics and software used to drive them.
The article below explores the latest state of the art for industrial electric motors by firstly considering the generic capabilities of modern electric drives, and then seeing how these are being applied to the different types of motor technology currently available. We show various manufacturers’ solutions, with product examples, for each of these motor types.
Electric drives
AMD’s Motor Control eBook describes how an electric drive is a collection of systems put together for motion control. These edge devices are made up of the power source, power converter, motor, mechanical load, and controller. Modern electric drives also use industrial Ethernet to exchange command and status data with system-level controllers, like PLCs and motion controllers that govern the system the electric drive is connected to.
They have fieldbus connectivity (the ability to connect multiple machines), positioning control, speed control, torque control, and power staging (modulating the power supply to minimize stress on the motor). In 2010, integrated safety mechanisms were added. This led to the introduction of the IEC 61508 functional safety in manufacturing specification, and the ISO 13849 machine safety standard. Around 2016, the industry introduced cloud connectivity and time-sensitive networking (TSN), and since then, the complexity of electric drives has continued to grow.
Along with the evolution of the drive, there have been constant changes to software and systems over the past few decades. Prior to the 1990s, most applications were programmed in Assembly or C language. By the middle of the decade, C++ had become well-established, Python was gaining in popularity, and Simulink from MATLAB was starting to take hold. Additionally, the Linux operating system had become mainstream for managing drive systems. Since then, these platforms and tools have continued to expand, with Simulink 6 in 2004, for example, and Python 3 in 2008.
In addition to the evolution of software, silicon carbide (SiC) and gallium nitride (GaN) technologies have appeared in the market. Among their advantages, SiC and GaN can sustain higher voltage than silicon alone. They can provide very fast switching mechanisms and operate at very high temperatures and frequencies, making them ideal for use in high-voltage motors for high-power and performance applications.
Motor control is the process of continuously regulating the magnetic fields by measuring current, rotor position, and deviation from the desired setpoint. It determines speed, torque, and position, and protects the motor by keeping all parameters within the motor's operational range. This dynamic process continuously measures currents and the rotor position. When a motor runs slower, the voltage created through motor control will drive the rotor to follow that pace and not run ahead of it. Motor control reads data from the motor and when the rotor is behind or ahead of its expected position, it reacts quickly to synchronise.
Motor control creates accurate input/output parameters, repeatedly—the faster, the better. The more calculations you can assign exclusively to the motor, the more precise your results will be. If you can accurately calculate what the next voltage will be, you’ll have a better chance at precisely controlling the motor’s angle of force. A motor should always build a magnetic field that is in the best alignment to move the rotor. The moving field should always be precisely angled and optimised to match the torque or speed you want to create. This can help to ensure that the energy is transformed into torque to the rotor and not wasted. When you can very precisely manage a motor with a controller, you can reduce acoustic noise and vibration and minimise electromagnetic emissions.
As mentioned earlier, the operation of an electric motor relies on producing and controlling magnetic fields. This means that an imperfect magnet may require adjustments through motor control at every rotor revolution. Every magnet has its own special pattern of behaviour, so the better you can measure magnetic force, the better performance you will be able to achieve out of your motor. Correcting inconsistencies in every rotor revolution can give you better efficiency, and have a direct impact on the motor’s service life.
Parameters that can be addressed with motor control
Electromagnetic interference (EMI): Motors can use intelligent pulse width modulation to avoid peaks and improve noise distribution.
Torque: Motor control can adjust power or force, or influence efficiency by adjusting the rotor angle.
Synchronisation of motors: You can distribute the load across multiple motors when you can control them with the same chip. All motors can run at the same speed and at the same rotor angles. In many cases, four smaller, synchronised motors can provide a more durable and reliable solution than one larger motor.
Safety: Safe drive is normally a motor control unit with an extra area that monitors if the motor is running within an expected range. There is a safety-limited position or speed with extra circuitry or area on the chip that monitors whether the motor is running at the speed you are expecting. When a motor runs too slow, you can switch it off as a safety feature.
Predictive maintenance and extension of service life: You can extend motor service life with predictive maintenance driven by motor control. You can view feedback from the motor and monitor it for changes. The currents you supply to the motor may not be the same on all connecting wires. You can be notified when a loose or broken cable changes a feedback signal interval - and with predictive maintenance, you can take action to fix it before it results in a failure.
Intelligent motor control systems can monitor motor performance and collect real-time data, enabling predictive maintenance practices. By analysing motor behaviour and detecting early signs of malfunction or wear, maintenance activities can be scheduled proactively. This prevents unexpected downtime, extends motor life, and reduces repair costs.
Energy efficiency: One of the most-promising uses cases for industrial motor control is driving energy efficiency. Intelligent motor control systems often incorporate advanced algorithms and technologies to optimise energy consumption. By reducing power wastage and improving motor efficiency, these features can lead to substantial energy savings, resulting in lower utility bills and reduced operating cost.
Our article: “Multiple ways to improve manufacturing energy efficiency” discusses how energy-efficient motors and drives can contribute towards overall industrial manufacturing power efficiency.
Acoustic noise control: Torque ripple, magnetic interference, and vibration are often the cause of acoustic noise in motors. Motor control techniques can be used to mitigate both noise and vibration in various applications where this is an issue.
Condition monitoring
Many intelligent motor controls enable continuous monitoring of motor conditions, including temperature, vibration, and load fluctuations. By detecting anomalies or abnormal patterns, these systems can alert operators to potential issues before they escalate. This allows for timely corrective actions, minimising the risk of motor failures, and avoiding costly production interruptions.
Fault diagnostics
Advanced motor control systems employ diagnostic algorithms to analyse motor performance data. They can identify specific faults or deviations from optimal operating conditions, pinpointing the root causes of motor problems. This facilitates faster troubleshooting and reduces the time and resources required for fault diagnosis, leading to cost savings.
Precision control
Intelligent motor control features often offer enhanced precision and accuracy in motor control, allowing for better speed and torque regulation. This can result in improved process control, higher product quality, and reduced scrap rates. By minimising variations and errors, these features can enhance overall operational efficiency and reduce costs associated with rework or rejected products.
Remote monitoring and control
Many intelligent motor control systems can be accessed and controlled remotely through network connectivity. This enables real-time monitoring and adjustments without requiring physical presence, saving time and travel expenses. Additionally, remote access facilitates centralised control and coordination of multiple motors across different locations, optimising resource allocation and minimising operational costs.
Integration and compatibility
Intelligent motor control systems are often designed to integrate seamlessly with other automation systems and industrial protocols. This compatibility enables streamlined communication and coordination among various components, such as programmable logic controllers (PLCs) or supervisory control and data acquisition (SCADA) systems. This integration reduces implementation costs and promotes interoperability in industrial environments.
Scalability and flexibility
Many intelligent motor control solutions offer scalability, allowing for the expansion or modification of motor control systems to meet evolving needs. This flexibility reduces the cost of system upgrades or replacements in the future, ensuring long-term cost-effectiveness and adaptability to changing operational requirements.