Brief Function Introduction:
The Schneider Modicon ATV340D15N4 Variable Speed Drive is designed for industrial automation applications, offering high performance and reliability in speed control systems.
Product Specifications:
| Motor Power Rating: | 15kW |
| Voltage Range: | 380V - 480V AC |
| Speed Control Method: | Vector Control |
| Output Frequency: | 0Hz - 400Hz |
| Protection Class: | IP20 |
| Control Interface: | Digital Inputs & Outputs |
| Operating Temperature: | -10°C to +40°C |
| Environmental Humidity: | 0% to 95% non-condensing |
Product Details:
The Schneider Modicon ATV340D15N4 Variable Speed Drive is engineered for seamless integration into complex industrial control systems, delivering precise motor speed control and energy efficiency. This drive is equipped with advanced vector control technology, ensuring smooth operation across a wide range of mechanical loads.
Featuring a robust design and IP20 protection class, this variable speed drive is suitable for various industrial environments, from manufacturing floors to power generation facilities. It supports a broad voltage range, accommodating different electrical systems without the need for adapter modules.
With digital inputs and outputs, users can easily connect sensors, actuators, and other control devices, facilitating comprehensive system integration. The drive's intuitive control panel allows for quick setup and parameter adjustments, making it accessible to both experienced engineers and maintenance staff.
The ATV340D15N4 comes with an extensive library of built-in functions for common motor control tasks, including speed ramp-up/down, torque control, and synchronization capabilities. These features enable efficient management of processes that require precise control over motor speeds and torques.
Moreover, the drive supports communication protocols such as Modbus RTU and Ethernet/IP, allowing for remote monitoring and control via PLCs or SCADA systems. This feature is particularly beneficial for centralized plant management, where real-time data analysis and predictive maintenance can significantly enhance operational efficiency and reduce downtime.
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