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1. About the Drive-on-Chip Design Example for Intel Agilex® 7 Devices
2. Features of the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3. Getting Started with the Drive-on-Chip Design Example for Intel Agilex 7 Devices
4. Rebuilding the Drive-on-Chip Design Example for Intel Agilex 7 Devices
5. About the Scaling of Feedback Signals
6. Motor Control Software
7. Functional Description of the Drive-on-Chip Design Example for Intel Agilex 7 Devices
8. Signals
9. Registers
10. Design Security Recommendations
11. Document Revision History for AN 994: Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.1. Software Requirements for the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.2. Hardware Requirements for the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.3. Downloading and Installing the Design
3.4. Setting Up your Development Board for the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.5. Configuring the FPGA Hardware for the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.6. Programming the Nios V/g Software to the Device for the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.7. Debugging and Monitoring the Drive-on-Chip Design Example for Intel Agilex 7 Devices with Python GUI
3.7.1. GUI Control Parameters Pane for the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.7.2. GUI Main Panes for the Drive-on-Chip Design Example for Intel Agilex 7 Devices
3.7.3. Tuning the PI Controller Gains
3.7.4. Controlling the Speed and Position Demonstrations
3.7.5. Monitoring Performance
7.3.6.1. DSP Builder for Intel FPGAs Model for the Drive-on-Chip Designs
7.3.6.2. Avalon Memory-Mapped Interface
7.3.6.3. About DSP Builder for Intel FPGAs
7.3.6.4. DSP Builder for Intel FPGAs Folding
7.3.6.5. DSP Builder for Intel FPGAs Design Guidelines
7.3.6.6. Generating VHDL for the DSP Builder Models for the Drive-on-Chip Designs
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7.3.6.3. About DSP Builder for Intel FPGAs
DSP Builder for Intel FPGAs supports bit-accurate simulation and VHDL generation of the full range of fixed-point and floating-point data types available in Simulink*. Floating-point data types give a high dynamic range, avoid arithmetic overflows, and avoid the manual floating- to fixed-point conversion and scaling steps necessary in algorithm development. You can optimize the data types to adjust hardware usage and calculation latency, and run Simulink* simulations to confirm adequate performance.
After you develop the algorithm in Simulink*, DSP Builder can automatically generate pipelined HDL that it targets and optimizes to the chosen FPGA device. You can use this VHDL in a HDL simulator such as ModelSim* to verify the generated logic versus Simulink* and in the Quartus Prime software to compile the hardware. DSP Builder for Intel FPGAs gives instant feedback of the VHDL's logic utilization and algorithm latency in automatically generated Simulink* reports.