DSP/FPGA Intelligent Controller for Machine Tools
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing machine tool controllers lack generality, dynamics, and configurability, failing to adapt to the diverse internal structures and varying tasks of machine tools, limiting their application extension and efficiency.
Innovation Solution
A dynamically configurable intelligent controller based on DSP/FPGA, comprising a DSP/FPGA information processing module, data input and output modules, and an embedded central processing system, which reconfigures hardware units and algorithms to generate an intelligent control algorithm graph, enabling real-time analysis and adaptive control instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional machine tool controllers are used, then the control system is simple and stable, but the controller lacks adaptability to different machine tool structures and tasks
Solution Approach 1:
The patent implements dynamic reconfiguration of the controller's hardware architecture using FPGA technology. The controller can dynamically adjust its internal structure, input-output interfaces, and algorithm modules according to different machine tool types and control tasks, transforming a static controller into a dynamic adaptable system that resolves the contradiction between adaptability and complexity.
Solution Approach 2:
The patent creates a universal controller platform that can control different types of machine tools through standardized interfaces and configurable algorithm modules. The controller integrates multiple functions including information sampling, digital signal processing, algorithm execution, and output control in a single system, achieving multi-functionality that improves adaptability without proportionally increasing complexity.
2Productivity
If fixed-function control systems are used, then the device complexity is low, but the productivity and efficiency cannot be optimized for different machining tasks
Solution Approach 1:
The patent enables parameter changes in the controller's operational characteristics by configuring different algorithm modules and adjusting processing parameters according to specific machining tasks. The system can switch between different control algorithms, sampling rates, and processing modes to optimize productivity for each task while maintaining a relatively simple base architecture.
Solution Approach 2:
The patent segments the control system into modular functional units including information sampling modules, digital signal processing modules, algorithm modules, and output execution modules. This segmentation allows selective activation and configuration of specific modules based on task requirements, improving productivity without requiring the entire system to be complex.
3Manufacturing precision
If comprehensive intelligent control is implemented, then the control accuracy and quality are improved, but the device complexity and energy consumption increase
Solution Approach 1:
The patent replaces complex mechanical control systems with digital signal processing and software-based algorithm modules. By using digital processing and configurable algorithms instead of hardwired control circuits, the system achieves high manufacturing precision and control accuracy while keeping the physical hardware relatively simple and manageable.
4Adaptability or versatility
If fixed hardware configuration is used, then the ease of manufacture is high, but the configurability for different applications is limited
Solution Approach 1:
The patent uses configurable algorithm modules and software-based control logic that can be copied and instantiated for different applications. Instead of manufacturing different hardware configurations for each application, the system copies and configures software modules, significantly reducing manufacturing complexity while maintaining high configurability.
Data Source
AI summary
A dynamically configurable intelligent controller of a machine tool based on DSP/FPGA and control method thereof are disclosed. The intelligent controller includes a DSP/FPGA information processing module, a data input module, an output execution module and an embedded central processing system module. The DSP/FPGA information processing module includes a hardware reconfigurable information sampling unit, a digital signal processing unit, a hardware reconfigurable algorithm unit, a hardware reconfigurable control information output execution unit and a data storage unit. The DSP/FPGA information processing module configures hardware units according to an intelligent control strategy file created based on the intelligent control needs to generate an intelligent control algorithm graph. The intelligent controller according to the present disclosure can, based on the control needs of the machine tool, dynamically configure the input and output hardware and the algorithm hard ware, and reconfigure the I/O connection and the algorithm module to generate an intelligent control algorithm graph. The intelligent controller also can dynamically output control instructions.