## Simscape HDL Workflow Advisor Tips and Guidelines

By using the Simscape HDL Workflow Advisor, you can generate an HDL implementation model.
You can generate HDL code for the implementation model and deploy the generated code onto FPGA
platforms. To open the Advisor, run the `sschdladvisor`

function. For example:

openExample('plantdeployment/OpenTheSimscapeHDLWorkflowAdvisorExample','supportingFile','sschdlexBoostConverterExample') sschdladvisor('sschdlexBoostConverterExample')

The Simscape HDL Workflow Advisor contains various tasks that convert your Simscape™ model to the HDL implementation model. When running various tasks in the Simscape HDL Workflow Advisor, you can follow certain tips and guidelines. You see these tips in the UI window of a particular task. For example, in the task that discretizes the equations to state-space parameters, the UI has a tip that suggests how to change the sample time. This section contains more information about each tip in the Simscape HDL Workflow Advisor UI.

### Estimating Resource Consumption Using Algebraic and Differential Variables

After you run the **Check model compatibility** task, the task reports
the number of differential and algebraic variables for each Simscape network present in the model. For example, this figure illustrates that there
are two differential and two algebraic variables in the boost converter example model
`sschdlexBoostConverterExample`

.

openExample('plantdeployment/OpenTheSimscapeHDLWorkflowAdvisorExample','supportingFile','sschdlexBoostConverterExample') sschdladvisor('sschdlexBoostConverterExample')

Run the workflow to the **Check model compatibility** task.

By viewing the number of algebraic and differential variables, you can determine how the
design consumes resources on the FPGA device. If `Nd`

is the number of
differential variables and `Na`

is the number of algebraic variables, the
resource usage on the target hardware varies according to the relation
`Nd*(Nd+Na)`

. Differential variables consume a quadratic amount of
multiplier resources on the target FPGA device. Algebraic variables consume a linear amount
of multiplier resources. You can use this information to determine how many multiplier
resources your Simscape design consumes on the FPGA device and whether your design is ready for
conversion to state-space representation.

### Setting Simulation Stop Time for Extract Discrete Equations

#### Change Simulation Stop Time

When you run the **Extract discrete equations** task, the Simscape
HDL Workflow Advisor reports the simulation stop time. The simulation stop time
corresponds to the amount of time that the Advisor takes to run simulation on your
Simscape model. The stop time must not be significantly large such that the Advisor
takes a long time to run this task. Use a stop time that is sufficient to reach the
required number of modes for your model. To change the stop time, navigate to the
Simscape model, and then specify the **Stop Time**.

#### Simulation Stop Time and Number of Modes

In the **Extract discrete equations** task, when you extract the
differential algebraic equations, the Simscape HDL Workflow Advisor simulates the model to
cover the nonlinear range of Simscape blocks. This task can take a long time depending on the number of switching
elements in the Simscape model.

For a switched linear model, each switching element in the design has two modes. A
switched linear model with `n`

switching elements has
`2^n`

possible modes. For Simscape models with large number of switching elements, the number of modes can
become significantly large. For example, the Vienna rectifier has `21`

switching elements, which translates to `2^21`

possible modes. The
Simscape HDL Workflow Advisor can take a long time to simulate such a large model and
cover such a large number of modes. In addition, the HDL implementation model that you
generate for such a design can consume a large amount of resources or may not even fit on
the target FPGA device.

In most cases, while simulating the model, the Advisor does not have to reach the
entire `2^n`

modes. For example, consider this bridge rectifier model. To
open this model,
enter:

openExample('plantdeployment/BridgeRectifierModelExample','supportingFile','sschdlexBridgeRectifierExample')

Inside the `Simscape_system`

Subsystem, you see the four diodes arranged in a bridge
configuration.

As each diode has two states, the Simscape design can have `2^4 = 16`

possible states. In contrast,
the bridge rectifier has only three modes. The modes are:

Diodes

`D1`

and`D2`

are`ON`

,`D3`

and`D4`

are`OFF`

Diodes

`D1`

and`D2`

are`OFF`

,`D3`

and`D4`

are`ON`

Diodes

`D1`

,`D2`

,`D3`

, and`D4`

are`OFF`

This example shows that, based on the Simscape algorithm and the input to the design, you can set the simulation stop time to a minimum value that covers the number of modes to be reached.

### Changing Sample Time for Extract Discrete Equations

#### Change Sample Time

When you run the **Extract discrete equations** task, the Simscape
HDL Workflow Advisor reports the discrete sample time. The discrete sample time
corresponds to the sample time that the Advisor uses to discretize the differential
algebraic equations to state-space parameters. To change the sample time, in your
Simscape model, open the Block Parameters dialog box for the Solver
Configuration block, and then specify the **Sample
time**.

#### Sample Time and Discretizing Equations

In the **Extract discrete equations** task, the Simscape HDL Workflow
Advisor discretizes the differential algebraic equations into state-space parameters. You
extract the differential algebraic equations by simulating the Simscape model. The task obtains the sample time information from the sample time
that you specify for the Solver Configuration (Simscape) block in your model.
The Advisor then discretizes the equations to state-space parameters based on this sample
time information.

### Using Number of Solver Iterations

#### What is Number of Solver Iterations?

On the Solver Configuration block, you can specify a custom value for
the number of solver iterations in **Nonlinear iterations** text box when
you select the **Use fixed-cost runtime consistency iterations** check
box. The number of solver iterations refer to the number of times the state-space model is
executed per mode. The Simscape HDL Workflow Advisor generates the number of iterations
that are required for executing the state-space model, automatically.

For each mode in the physical system, the switched linear workflow arrives at a state-space representation. The solver method is iterative and performs multiple computations to determine the correct mode for the next time step. After a certain number of iterations, the output value from the next time step becomes the same as the value from the previous time step. This consistency in the output value indicates the correct number of solver iterations.

By default, the **Number of Solver iterations** is
`1`

for linear models. For switched linear models, the **Number
of solver iterations** depends on the number of mode iterations that
Simscape uses during model simulation. This chosen value is optimal such that it
causes the model to converge and avoids exceeding the threshold value for real-time
deployment.

#### Using Fixed-Cost Runtime Consistency Iterations

On the Solver Configuration block, the **Use fixed-cost runtime
consistency iterations** check box is cleared by default. If you select this
check box, the **Nonlinear iterations** setting on the Solver
Configuration block allows you to specify the Number of solver
iterations.

To learn more about the **Use fixed-cost runtime consistency
iterations** setting, see Solver Configuration (Simscape). See also Solvers for Real-Time Simulation (Simscape).

#### Change Number of Solver Iterations

By default, you can change the number of solver iterations on this task. Increasing the number of solver iterations improves the numerical accuracy of generated HDL implementation model. To achieve higher sampling frequencies, reduce the number of solver iterations. Choose a value for number of solver iterations that trades off numerical accuracy and sampling frequency.

On the Solver Configuration block, if you select the **Use
fixed-cost runtime consistency iterations** check box then you can change the
number of solver iterations in the **Nonlinear iterations** parameter
text box. Then, rerun the **Generate implementation model** task.

#### Trading off Numerical Accuracy and Sampling Frequency

To verify whether the numeric results of the HDL implementation model matches the
original Simscape model, select **Generate validation logic for the implementation
model**. If the numeric results from the HDL implementation model do not match,
you can increase the number of solver iterations. To learn more, see Increase Number of Solver Iterations.

Changing the number of solver iterations trades off numerical accuracy for sampling frequency. Increasing the number of solver iterations increases the sample time of the HDL implementation model which can reduce the sampling frequency. See Reducing Number of Solver Iterations.

### Data Type Precision and Numerical Accuracy

Use the **Data type precision** setting to specify whether you want the
algorithm inside the `HDL Subsystem`

in the generated implementation model
to use `single`

or `double`

floating-point data type, or
`fixed-point`

data type when performing the matrix computations.

Data type Precision | Description |
---|---|

`Double` | Using `double` floating-point data type precision increases
the numerical accuracy of the generated model and the maximum achievable target
frequency. However, the area consumption and pipeline latency are also
increased. |

`Single` | This is the default setting for data type precision. |

`Single coefficient, double computation` | This mode offers a tradeoff between `Single` and
`Double` modes of floating-point data type precision. To save
memory usage, the coefficients that are stored in `single` . The
matrix computations are then performed in `double` for improved
accuracy. |

`Fixed-point` | This mode of data type precision determines the dynamic range of state-space matrices, and computes the appropriate fraction lengths and full precision integer rounding modes by using the specified word length. This reduces resource utilization and improves FPGA sampling frequency by reducing the oversampling factor. The |

To learn more about the floating-point precision settings and tradeoffs, see Use Larger Floating-Point Precision.

### Map State Space Parameters to RAMs

The **Map state space parameters to RAMs** setting enables you to map
the state space parameters onto the hardware resources such as RAMs or lookup tables
(LUTs).

Map State Space Parameters to RAMs | Description |
---|---|

`Auto` (default) | Maps the state space parameters to RAMs when the number of modes exceeds a set threshold value (200). Otherwise, it maps them to LUTs. |

`On` | Maps state space parameters to RAMs. |

`Off` | Maps state space parameters to LUTs. |

### Optimal Sharing Factor Supported FPGA Device Families

The Simscape HDL Workflow Advisor supports the optimal value of sharing factor for the following FPGA device families and parts listed in the table.

Device Family | Parts | |
---|---|---|

Xilinx | Kintex^{®}-7 | xc7k325t xc7k410t |

Kintex U | xcku115-flvb1760-1-c xcku085-flvb1760-1-c | |

Artix | xc7a200t xc7a50t | |

Zynq | xczu11eg-ffvc1760-2-e xczu17eg-ffvc1760-2-e xczu19eg-ffvc1760-2-e | |

Altera^{®} | MAX | 10M50DAF484C6GES |