TECHNICAL SUPPORT
Published 2026-01-19
Remember that feeling? The robotic arm you designed is performing precise operations, and the data in a certain link is delayed by 0.1 seconds - the entire process begins to get knotted. Or your servo control system responds like it’s climbing stairs when processing multiple commands. These problems are often not defects of the hardware itself, but the system architecture behind it.
Most servo motor and machine control systems use a single database to handle all commands and queries. Imagine: an automated production line in a factory not only needs to control the steering gear angle in real time, but also handles quality inspection data query, equipment status monitoring and order flow tracking at the same time. All requests are squeezed into the same channel, like a single-lane tunnel during rush hour. Real-time control instructions are slowed down by batch queries, and data analysis does not get immediate feedback.
Even trickier is system scaling. When you need to add visual recognition modules or connect to new sensor networks, the entire system has to be readjusted. It feels like adding an elevator to an old house—it makes a lot of noise, takes a long time, and is often accompanied by unexpected shutdowns.
Recently, in the field of servo control, more and more people are discussing the combination of CQRS (Command Query Responsibility Separation) and microservice architecture. To put it simply, "write operations" (such as sending control instructions) and "read operations" (such as querying device status) are completely separated. Control the fast channel through which instructions travel, and data queries are obtained through a dedicated path. The two do not block each other, just like a dedicated lane for emergency vehicles.
Microservices disassemble the entire control system into independent small modules: the steering gear control module specializes in angle adjustment, the motion trajectory calculation module focuses on path planning, and the status monitoring module is responsible for data collection and analysis. Each module can be developed, deployed and extended independently.
When our team tried this architecture on a servo motor project, we discovered some interesting fits.
Question 1: Can real-time control and data feedback be balanced? It's really hard in traditional architecture. However, under the separation design, the control instructions are directly sent to the execution unit with almost no delay. Status query obtains historical and real-time data through another path, and the two are efficiently synchronized at the bottom of the system. Just like the human nervous system, motor commands and sensory feedback are processed through different channels, but they are coordinated.
Question 2: Does module independence mean complicated maintenance? Quite the opposite. When a function needs to be upgraded - such as improving the PID of the servo - you only need to update the control module without touching the data query or monitoring part. The rest of the system runs as usual, and the upgrade process is almost seamless.
Question 3: Does this architecture require a complete overhaul of the existing system? uncertain. We gradually separated several core functions from the existing system as pilot projects: first the motion control module, and then the status recording module. Six months later, the entire system had made a natural transition to the new architecture, with the production line never shutting down.
existkpowerIn recent robotic arm projects, this architecture has shown several real advantages:
Response latency is reduced by approximately 40%. Control instructions go directly to the execution unit, avoiding the queue of data queries. You can adjust system configuration more flexibly. Need to strengthen location accuracy monitoring? Just enhance the processing capability on the query side; need to increase the control frequency? Then the resources of the instruction channel.
System fault tolerance has also been significantly improved. When an exception occurs in a certain module, the isolation design prevents the problem from spreading to the entire system. We encountered one last week: a temporary failure of the data visualization module, but the control and operation of the robotic arm were not affected at all, and production continued as usual.
Expansion becomes like building blocks. When adding new visual recognition functions, we only need to develop a new module to access the system, and there is no need to reconstruct existing code. The entire integration process was shortened by about two-thirds.
If you are considering trying a similar architecture in a servo control system, you can start with a few small steps:
Identify bottleneck points in the current system. Is the control command response slow, or is the status query dragging down the overall performance? Often the most maligned link is the best place to start.
Modularize selected features. For example, first encapsulate the steering gear angle control logic independently and define clear interface boundaries.
Implement the initial separation of commands and queries. Even a mere separation can immediately relieve some of the blockage.
Gradually expand. After one module is running stably, start the next one. This incremental approach reduces risk and makes it easier for teams to adapt to new thinking.
Machinery control systems are becoming more intelligent and complex. The choice of architecture is no longer a purely technical issue, but directly affects the response speed, reliability and adaptability of the device. When each module can focus on its core responsibilities, the entire system will glow with the beauty of organic and efficient coordination - just like a precise mechanical device, each gear rotates smoothly in the correct position.
The future of servo technology lies not only in more precise motors, but also in allowing these motors to realize their full potential in intelligent systems. When the control architecture is clear and flexible enough, the capabilities of the hardware can truly reach its limits.
Established in 2005,kpowerhas been dedicated to a professional compact motion unit manufacturer, headquartered in Dongguan, Guangdong Province, China. Leveraging innovations in modular drive technology, Kpower integrates high-performance motors, precision reducers, and multi-protocol control systems to provide efficient and customized smart drive system solutions. Kpower has delivered professional drive system solutions to over 500 enterprise clients globally with products covering various fields such as Smart Home Systems, Automatic Electronics, Robotics, Precision Agriculture, Drones, and Industrial Automation.
Update Time：2026-01-19
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