From Discrete Components to Platform-Based Solutions: How Wireless Computing Is Reshaping Modern Motor Drive Architecture

Motors drive billions of devices, spread across homes, industry, agriculture, and consumer products. For decades, the optimization of motor architecture has always centered on one core goal: control performance. Only when necessary would motor drives add wireless connectivity, analytics, and other advanced intelligent functions. However, this model is approaching its limit, because today's motor drive products are expected to be able to wireless connect, adapt to the environment, update securely, and make intelligent decisions in response to changing environmental factors. They will no longer be isolated control nodes, but intelligent endpoints in broader digital systems. This evolution requires not only better control algorithms, but also the integration of wireless, computing, and machine learning (ML) into the core of the motion system.
 
In the past, motor systems with wireless connectivity capabilities were usually assembled from multiple components, including a dedicated motor control MCU, a separate wireless SoC or module, optional security components, and additional processors for sensing or analytics. Although this model can achieve effective functionality, it brings higher bill of materials (BOM) costs, larger PCB footprint, more complex firmware, and higher system latency. More importantly, it disperses processing responsibility across multiple devices, making long-term feature expansion more difficult. In addition, adding wireless debugging, over-the-air (OTA) updates, predictive diagnostics, or anomaly detection to a motor control system often requires redesigning the system architecture rather than simply expanding it. At the same time, user expectations for products are also constantly rising.
 
Therefore, modern motor drive devices must have wireless connectivity for configuration and diagnostics, support security features and be field-updatable, be capable of local analytics and intelligent response, and also be compact and energy-efficient, and cost-optimized to support scale. However, the efficiency of current multi-chip solutions in meeting the above conditions is increasingly low, which makes developers' demand for introducing higher-integration SoC platforms grow day by day.
 
The current innovation in motor drives is mainly reflected in four aspects: physical integration, functional fusion, topology innovation, and intelligence, evolving from "independent components" to "deeply coordinated systems." In traditional architectures, the motor, inverter, and reducer are independent components, but now they are being integrated into a single drive unit. The way functions are integrated has moved from physical merging to deep coordination. Integration is no longer just "putting things together," but a reconstruction at the functional level, namely "function-integrated motor drive" (FIMD).
 
On the other hand, innovations in power semiconductors and circuit topologies provide the physical foundation for architectural evolution. Wide bandgap (WBG) devices: silicon carbide (SiC) and gallium nitride (GaN) replace traditional silicon-based devices, supporting higher switching frequencies, higher operating temperatures, and lower losses, and are key to improving power density. For example, current source inverters (CSI) combined with WBG devices can alleviate the high dv/dt, high electromagnetic interference, and bearing current risks of voltage source inverters, achieving a power density of 115kW/L.
 
In terms of intelligence and control coordination for motor drives, the implementation approach will expand from hardware to software-defined. The co-design of control algorithms and hardware architecture is key to unlocking the potential of new architectures. Control algorithms such as model predictive control (MPC) and Hall-effect motor control eliminate dependence on motor sensors and achieve faster dynamic response and higher precision. In addition, deploying machine learning (including reinforcement learning) to embedded platforms through edge machine learning will be an important trend for future development.

In view of the above innovation needs for motor drive architecture, Silicon Labs provides a wireless connected motor solution based on the MG24 multi-protocol wireless SoC with a built-in AI/ML hardware accelerator, to help developers smoothly realize the architectural transformation of motor control systems.
 
Taking the EFR32MG24 wireless SoC as an example, it is an ideal choice for implementing mesh IoT wireless connectivity using Matter, OpenThread, and Zigbee protocols, and is suitable for smart home, lighting, and building automation products. With key features such as high-performance 2.4GHz RF, low current consumption, AI/ML hardware accelerator, and Secure Vault™, IoT device manufacturers can create smart, robust, and energy-efficient products that avoid remote and local network attacks. The SoC uses an ARM Cortex®-M33 core running at up to 78MHz, with 1.5MB of flash and 256kB of RAM built in, providing resources for demanding applications while leaving room for future growth. Target applications include gateways and hubs, sensors, switches, door locks, LED lighting, luminaires, location services, predictive maintenance, glass break detection, wake word detection, and more.
 
MG24 is a wireless computing platform for connected operation. The MG24 multi-protocol wireless SoC is designed for mid-range connected motor systems, and its integration, efficiency, and intelligence are the keys to differentiating it from traditional solutions. MG24 integrates the following functions into a single SoC, including real-time BLDC vector control (FOC), Bluetooth Low Energy (Bluetooth LE) connectivity, hardware-based Secure Vault security mechanisms, as well as DSP capabilities and machine learning acceleration units, and event-driven hardware subsystems such as PRS and LESENSE.
 
This high level of integration enables a unified architecture, allowing motion control, wireless communication, and intelligent processing to operate collaboratively without competing for system resources. In traditional architectures, running real-time FOC and a Bluetooth stack simultaneously usually requires a separate processor to continuously meet strict control loop timing. MG24 demonstrates that this separation is no longer necessary. It can maintain precise motor control while sustaining wireless communication and application-layer processing.

Designers can build connected motion systems without worrying that wireless protocol activity interfere with control loops that have strict real-time requirements. This balance is the foundation of the next-generation motion wireless computing architecture. Take edge intelligence capabilities: as motion systems become connected, they must also be able to sense. With integrated DSP capabilities and a matrix vector processor (MVP) hardware accelerator, MG24 supports local data processing for vibration analysis, anomaly detection, predictive maintenance, and performance optimization. By processing data at the edge, the system can respond immediately to mechanical changes, reduce cloud bandwidth usage, and improve overall efficiency. Motor drive products evolve from executing commands to a system capable of making intelligent decisions.
 
In addition, in hardware-level event handling, efficiency and stability are required. The peripheral reflex system (PRS) and LESENSE allow hardware to trigger responses to motor and sensor events without CPU intervention. This event-driven design reduces latency, improves stability, and optimizes power consumption. At the same time, it frees up processor capacity for higher-layer functions, strengthening the overall system architecture.
 
On the other hand, security must also serve as the foundation of the system. Connected devices must remain trusted throughout their entire lifecycle. MG24 integrates Secure Vault IoT security technology certified to PSA Level 3, ensuring secure boot, key protection, device identity, and encrypted OTA updates. This security foundation enables connected motor systems to be deployed at scale with securely.
 
During operation, when the system encounters external mechanical interference, it will immediately detect the anomaly and shut down safely; when normal conditions are restored, it will automatically restart. The entire process enables real-time interaction and visualization of system behavior through a connected mobile device. What once required separate motor controllers, connectivity modules, and exception monitoring logic is now integrated into a single wireless computing platform.

The approach of using an integrated wireless computing and machine learning SoC platform for motor control has opened up possibilities of implementing intelligent assistive extensions, such as smart curtains that can detect increased resistance and prevent wear, fluid pumps that can identify cavitation and actively adjust, power tools that can monitor vibration signatures and issue maintenance alerts, and actuators that can improve performance through wireless firmware updates.
 
In these applications, differentiation comes from integration and intelligence, not just torque precision. The impact of the new architecture is most evident in mid- to large-scale markets, where size, efficiency, and connectivity are critical, including curtains, blinds, vents, and compact robotics in smart home and building automation, as well as actuators, valves, and small conveyors in light industrial and IoT automation applications, and connected tools and appliances such as white goods, power tools, and water pumps and irrigation systems and water feeders in smart agriculture applications.
 
The future of motor systems is no longer defined merely by faster control loops, but driven by integrated platforms. By combining motion control, wireless connectivity, security, and edge intelligence in a single architecture, manufacturers can accelerate development cycles, simplify hardware design, enable full-device OTA updates, and introduce predictive maintenance and service-based business models. MG24 is the representative of this evolution, moving toward motion systems driven by wireless computing. MG24 demonstrates how a single secure, wireless-enabled platform can replace fragmented multi-chip designs and empower smarter, more adaptive products. As connected systems continue to evolve, wireless, intelligent, and computing will become the core of motion, driving the arrival of a new generation of intelligent, integrated devices.
 
To accelerate product development, Silicon Labs has also launched the EFR32xG24 development kit, a compact and feature-rich development platform. It can quickly develop wireless IoT products and complete prototyping. The development platform supports up to +10 dBm output power, including support for a 20-bit analog-to-digital converter and other key features.

The future of motor systems is no longer defined merely by faster control loops, but driven by integrated platforms. By combining motion control, wireless connectivity, security, and edge intelligence in a single architecture, manufacturers can accelerate development cycles, simplify hardware design, enable full-device OTA updates, and introduce predictive maintenance and service-based business models. Silicon Labs MG24 is the representative of this evolution. It demonstrates how a single secure, wireless-enabled platform can replace fragmented multi-chip designs and empower smarter, more adaptive products. The next generation of intelligent, integrated devices will begin with architectural innovation.