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TRIO Motion Controller is equipped with HSCM high-speed high-precision planning control algorithm to create the "strongest brain" for high-precision equipment! Currently, industries such as semiconductors, new energy, precision optics, and medical devices are developing rapidly. Manufacturing equipment is continuously evolving towards high precision, miniaturization, high consistency, and high yield. During this process, the bottleneck of equipment performance gradually shifted from traditional mechanical structures to motion control capabilities. Especially in high-speed machining scenarios, trajectory accuracy, dynamic response capability, and vibration suppression capability directly determine the final machining quality and production efficiency. Moreover, traditional methods often rely on improving mechanical structure accuracy. They also increase equipment rigidity and conduct process debugging through experience. However, as machining complexity increases, it becomes increasingly difficult to meet the demand by relying solely on mechanical precision overlays. Therefore, the optimization and upgrading of motion control algorithms is becoming an important breakthrough in improving equipment performance.

1. Core pain points of high-speed high-definition sports scenes from TRIO Motion Controller.

In high-speed, high-precision machining scenarios, control systems typically face several typical problems at the same time: Vibration problems caused by high-speed movement. During high-speed movement, acceleration mutations stimulate mechanical system resonance, affecting machining stability. Precision preservation of complex trajectories In the processing of dense small line segments or complex surfaces, traditional interpolation algorithms can easily lead to decreased corner accuracy. They can also cause increased trajectory errors and significant velocity fluctuations. Balance between efficiency and accuracy High speed machining usually requires finding a balance between higher machining efficiency. It also requires more stable contour accuracy. As a result, high-performance motion control systems need to be synergistically optimized on multiple levels such as path planning, speed planning and vibration suppression.

2. “Planning + Control” collaborative algorithm to achieve new technological breakthroughs from TRIO Motion Controller 

In the field of motion control, a clear trend in recent years has been: from single control algorithm optimization to "planning + control" synergistic optimization. By considering the dynamic characteristics of the system at the trajectory planning stage, the load on the control loop can be reduced. Thus, this achieves: ✅ Smoother movement path ✅ Higher dynamic bandwidth ✅ More stable system response Based on this idea, TRIO Motion Controller launched its collection of HSCM high-speed high-precision planning control algorithms based on its Motion iX control kernel. The system also upgrades in path planning, speed planning and vibration suppression followed.

3. The four main advantages of the high-speed high-precision algorithm of the TRIO Motion Controller HSCM

Full Scene Path Planning HSCM offers a combination of multiple trajectory planning algorithms for high-speed, high-precision machining scenarios that optimize scheduling for different trajectory types, including: Straight track Circular arc trajectory Specimen curve trajectory Through intelligent scheduling mechanisms, more suitable planning methods are automatically matched between different trajectory segments. Thus TRIO Motion Controller optimizes the overall path performance.

Advanced speed planning for smooth movement Traditional motion control systems typically use S-curve speed planning with Jerk constraints. HSCM TRIO Motion Controller further introduces five-order speed planning with Crack constraints on this basis, allowing the system to have higher continuity during speed changes, thereby improving the overall smoothness of movement. This optimization can effectively reduce: Acceleration mutation System impact Mechanical Vibration

Spectrum controllable vibration suppression technology Vibration control has always been one of the key issues for high-speed equipment. HSCM TRIO Motion Controller introduces a vibration suppression method based on spectral windows through trajectory shaping technology. This minimizes the impact on the trajectory path while controlling the vibration spectrum. Furthermore, this method can reduce the impact of structural vibration on machining accuracy without changing the machining path. High precision angle and contour control In complex surface machining or dense small line segment scenarios, HSCM supports: precise angle control; Small line segment line interpolation; Contour proximity control It improves overall contour control by reducing acceleration fluctuations.

4. High speed and high-precision classic application scenarios

Based on the above technical capabilities, this algorithm is mainly targeted at manufacturing scenarios that require high motion performance, including precision laser micro machining, precision CNC mold processing and complex surface processing, semiconductor wafer cutting and slicing, etc. These applications typically require high-speed machining capability, stable contour accuracy, and good system dynamic response simultaneously. The HSCM TRIO Motion Controller algorithm provides a new technological implementation path for these scenarios through coordinated optimization of planning and control.

Based on the HSCM algorithm, TRIO has developed a dedicated controller algorithm and complete solution for laser cutting scenarios. This algorithm from TRIO Motion Controller utilizes trajectory planning and high-speed dynamic response to significantly improve machining efficiency while ensuring cutting accuracy, achieving high-quality cross-sections and stable production cycles during complex contour machining. In practical applications, the machining accuracy and operational stability of the equipment have been effectively improved, bringing customers higher yield rates and overall equipment efficiency.

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