Project 2 Adaptive Cruise Control
MAJOR PROJECT: Adaptive Cruise Control.
Aim: To develop Cruise Control feature as per the requirement document using MATLAB Simulink.
General Overview:
Adaptive Cruise Control Feature for passenger cars allows the host vehicle to adapt to the speed in line with the flow of traffic. Driving in heavy traffic or keeping a safe distance to the preceding vehicle calls for a high level of concentration. The Adaptive Cruise Control feature can reduce the stress on the driver by automatically controlling the vehicle speed & maintaining a predefined minimum distance to the preceding vehicle. As a consequence, the driver enjoys more comfort & can concentrate on the road little better.
A radar sensor is usually at the core of the Adaptive Cruise Control. Installed at the front of the vehicle, the system permanently monitors the road ahead. As long as the road ahead is clear, cruise control feature maintains the speed set by the driver. If the system spots a slower vehicle within its detection range, it gently reduces speed by releasing the accelerator or actively engaging the brake control system. If the vehicle ahead speeds up or changes lanes, the cruise control automatically accelerates to the driver’s desired speed.
Standard Adaptive Cruise Control can be activated from speeds of around 30 km/h (20 mph) upwards and supports the driver, primarily on cross-country journeys or on freeways. The cruise control stop & go variant is also active at speeds below 30 km/h (20 mph). It can maintain the set distance to the preceding vehicle even at very low speeds and can decelerate to a complete standstill. When the vehicle remains stopped longer, the driver needs only to reactivate the system, for example by briefly stepping on the gas pedal to return to cruise control mode. In this way, cruise control stop & go supports the driver even in heavy traffic and traffic jams.
Since Adaptive Cruise Control is a comfort and convenience system, brake interventions and vehicle acceleration only take place within defined limits. Even with Adaptive Cruise Control switched on, it remains the driver’s responsibility to monitor the speed and distance from the vehicle in front.
Model Configuration setting Parameters:
- Follow all the MBD related processes: Requirement Tagging & Traceability, SLDD creation, Configuration Parameter changes, Model Advisor check & Code Generation.
- In Configuration Parameters: enable “Support Floating Numbers” under Code Generation settings.
- Use Embedded Coder to generate the code.
- If choosing code generation, Storage class for Input signals: ImportedExtern; Storage class for Output signal: Export to File; Storage class for local signals: localizable; Storage class for calibration signals: Const.
- Choose sample time for all signals as 0.01s.
Requirement 1– Lead Vehicle:
- Lead Vehicle is a vehicle which is driving in the road ahead of our drive vehicle. Two input signals (Signal Name: CameraInput_LeadVehicle & RadarInput_LeadVehicle).
- Ideally sensor fusion techniques will be deployed to process & analyze data from camera & radar. For complexity reasons, let’s not adapt to any such algorithms.
- We can simply add both the radar & camera inputs & the corresponding output is read as Speed profile output (Signal Name: LeadVehicle_Speed).
- Speed data of the lead vehicle is critical in implementing the Adaptive Cruise Control algorithm.
The model is created as per the Requirements are given.
Requirement 1 Tagging:
First Select the Requirement Number in teh word file and then open Simulink model to tag the requirement
Here we tag the requirement 1 to the Lead Vehicle Subsystem by Right clicking on the Lead Vehicle Subsystem click on teh Requirements and then Link to selection in word.
Requirement 2 – Drive Vehicle:
- Drive Vehicle is the vehicle driven by the user & this is the vehicle which has ACC algorithm in it.
- Like the Lead Vehicle, Drive Vehicle algorithm also has 2 input signals (Signal Name: CameraInput_DriveVehicle, RadarInput_DriveVehicle) & one signal coming as an Input to this subsystem (Signal Name: Acceleration_Mode) – three inputs into this requirement in total.
- Like the above requirement, sensor fusion techniques will also be deployed here, for complexity reasons we are ignoring them.
- Two output signals come from this subsystem (Signal Name: DriveVehicle_Speed & LeadVehicle_Detected).
- Signal DriveVehicle_Speed is summation of three input signals mentioned above & LeadVehicle_Detected is renamed from Input Signal RadarInput_DriveVehicle by mere use of Signal Conversion block.
Here we create Simulink model as per the Requirement 2 is given.
Requirement 2 Tagging:
Here same procedure is applied to tag the requirement 2 to the Drive Vehicle.
Requirement 3 – Adaptive Cruise Control Algorithm:
- Adaptive Cruise Control feature has 3 major modes of operation: OFF Mode, STANDBY Mode & ON Mode. This particular requirement has to be implemented as state machine logic in Simulink.
- The input signals to this state machine system are (Signal Name: Time_Gap, Set_Speed, Set_Gap, CruiseSwitch, SetSwitch).
- Also, the output signals (Signal Name: DriveVehicle_Speed & LeadVehicle_Detected) from requirement-2 is fed back as an input signal into this state machine block.
- Additionally, output signal (Signal Name: LeadVehicle_Speed) from requirement-1 is given as an input signal to this state machine block as well.
- Output from this subsystem is a signal (Signal Name: Acceleration_Mode) which governs the vehicular speed of the drive vehicle which automatically adjusts its speed & velocity to match the lead vehicle.
For Requirement 3 we use stateflow to make a Acc_Algorithm subsystem where we tag the Requirement 3 same as in the previous 2 Requirements.
The inputs for the Stateflow are :
- CruiseSwitch
- Time_Gap
- Set_Gap
- Set_Speed
- SetSwitch
- DriveVehicel_Speed from Requirement 2 subsystem
- LeadVehicle_Speed from Requirement 1 subsystem
- LeadVehicle_Detected from Requirement 2 Subsystem.
Requirement 3 Tagging:
First Select the Requirement number then follow same procedure same as followed in the previous 2 Requirements.
Requirement 3 has 3 Modes
- OFF_MODE
- STANDBY_MODE
- ON MODE
Requirement 3a – ACC OFF MODE state logic:
- This is the default state inside state machine logic. Output signal Acceleration_Mode is at value 0 in this state.
- This state is governed by input signal CruiseSwitch.
- If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC ON mode or ACC STANDBY mode
For Mode 1 (OFF_MODE) The given Requirements are Acceleration_Mode is at value 0.
If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated.
Requirement 3b – ACC STANDBY MODE state logic:
- This is the second activated state inside state machine logic. Output signal Acceleration_Mode is at value 1 in this state.
- This state is governed by both input signals CruiseSwitch & SetSwitch.
- If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC ON mode or ACC STANDBY mode
- If SetSwitch is equal to 1, state ACC ON mode will get activated. If SetSwitch is equal to 0, state ACC STANDBY mode will get activated.
Second Mode (STANDBY_MODE) the given Requirements are cceleration_Mode is at value 1.
If SetSwitch is equal to 1, state ACC ON mode will get activated. If SetSwitch is equal to 0, state ACC STANDBY mode will get activated.
Requirement 3c – ACC ON MODE state logic:
This state will be activated when input signal SetSwitch is equal to 1. There are 6 sub states to this state logic: They are:
- LeadVehicle_Detected_Follow (Default)
- LeadVehicle_Not_Detected
- LeadVehicle_Detected_Resume
- LeadVehicle_Not_Detected_Resume
- LeadVehicle_Speed_lessthan_Set_Speed
- LeadVehicle_Speed_equal_Set_Speed
Requirement 3c (i) – LeadVehicle_Detected_Follow (ACC ON MODE):
- This is the default sub state inside ACC ON MODE state. Output signal Acceleration_Mode is equal to 2.
- Condition to transit from LeadVehicle_Detected_Follow to LeadVehicle_Not_Detected; Input signal condition LeadVehicle_Detected == 0.
- Condition to transit from LeadVehicle_Detected_Follow to LeadVehicle_Speed_lessthan_Set_Speed; Input Signals condition (LeadVehicle_Detected == 1) && (LeadVehicle_Speed < Set_Speed) || (Time_Gap < Set_Gap).
Requirement 3c (ii) – LeadVehicle_Not_Detected (ACC ON MODE):
- Output signal Acceleration_Mode is equal to 1.
- Condition to transit from LeadVehicle_Not_Detected to LeadVehicle_Detected_Follow; Input signals condition [(LeadVehicle_Detected==1) && (DriveVehicle_Speed == Set_Speed) && (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]
- Condition to transit from LeadVehicle_Not_Detected to LeadVehicle_Speed_lessthan_Set_Speed; Input signals condition [(LeadVehicle_Detected == 1) && (LeadVehicle_Speed < Set_Speed) || (Time_Gap < Set_Gap)]
Requirement 3c (iii) – LeadVehicle_Detected_Resume (ACC ON MODE):
- Output signal Acceleration_Mode is equal to 3.
- Condition to transit from LeadVehicle_Detected_Resume to LeadVehicle_Detected_Follow; Input signals condition [(DriveVehicle_Speed == Set_Speed) && (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]
- Condition to transit from LeadVehicle_Detected_Resume to LeadVehicle_Not_Detected_Resume; Input signal condition LeadVehicle_Detected==0.
- Condition to transit from LeadVehicle_Detected_Resume to LeadVehicle_Speed_equal_Set_Speed; Input Signal condition [(DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed > DriveVehicle_Speed) && (Time_Gap >= Set_Gap)]
Requirement 3c (iv) - LeadVehicle_Not_Detected_Resume (ACC ON MODE):
- Output signal Acceleration_Mode is equal to 1.
Requirement 3c (v) - LeadVehicle_Speed_lessthan_Set_Speed (ACC ON MODE):
- Output signal Acceleration_Mode is equal to 4.
- Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed to LeadVehicle_Not_Detected; Input signal condition [(LeadVehicle_Detected == 0) && (DriveVehicle_Speed == Set_Speed)]
- Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed to LeadVehicle_Speed_equal_Set_Speed; Input signals condition [((LeadVehicle_Speed*1.25>=DriveVehicle_Speed) && (LeadVehicle_Speed * 0.75<=DriveVehicle_Speed)) && (DriveVehicle_Speed < Set_Speed) && ((Time_Gap<=1.25*Set_Gap) && (Time_Gap >=0.75*Set_Gap))]
Requirement 3c (vi) - LeadVehicle_Speed_equal_Set_Speed (ACC ON MODE):
- Output signal Acceleration_Mode is equal to 5.
- Condition to transit from LeadVehicle_Speed_equal_Set_Speed to LeadVehicle_Not_Detected_Resume; Input signal conditions is [(LeadVehicle_Detected == 0) || (DriveVehicle_Speed <= Set_Speed)]
- Condition to transit from LeadVehicle_Speed_equal_Set_Speed to LeadVehicle_Detected_Resume; Input signal conditions [(DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed > DriveVehicle_Speed) || (Time_Gap >= Set_Gap)]
- Condition to transit from LeadVehicle_Speed_equal_Set_Speed to LeadVehicle_Speed_lessthan_Set_Speed; Input signals conditions [(LeadVehicle_Speed<set_speed) &&="" (leadvehicle_speed<drivevehicle_speed)="" ||="" (time_gap="=" 0.75*set_gap)]<="" em=""></set_speed)>
This fig is for whole Third Mode of the ON_MODE of Requirement 3 in which we have six sub signals and according to the requirement we implement the logic in the stateflow.
In ACC_ON mode we hev further six modesof operationcas,
- LeadVehicle_Detected_Follow (Default)
- LeadVehicle_Not_Detected
- LeadVehicle_Detected_Resume
- LeadVehicle_Not_Detected_Resume
- LeadVehicle_Speed_lessthan_Set_Speed
- LeadVehicle_Speed_equal_Set_Speed.
All these modes of operation are modelled as per teh given as mentioned in teh requirement section.
Over all Model of Adaptive Cruise Control:
Here we create a overall Model of Adaptive Cruise Control as per the given instructions.The over all model is created by making the subsystem of teh three Requirements.
It consists of 3 Requirement Subsystems :
- Requirement 1: Lead Vehicle Subsystem
- Requirement 2: Drive Vehicle Subsystem
- Requirement 3: ACC Algorithm nSubsystem.
SLDD Requirements Signals & Calibration Data List:
|
Signal / Calibration Name |
Signal Type |
Data Type |
Dimension |
Min |
Max |
Initial Value |
Units |
|
CameraInput_LeadVehicle |
Input |
Uint8 |
1 |
0 |
255 |
- |
- |
|
RadarInput_LeadVehicle |
Input |
Uint8 |
1 |
0 |
255 |
- |
- |
|
CameraInput_DriveVehicle |
Input |
Uint8 |
1 |
0 |
255 |
- |
- |
|
RadarInput_DriveVehicle |
Input |
Uint8 |
1 |
0 |
255 |
- |
- |
|
Time_Gap |
Input |
Uint8 |
1 |
0 |
255 |
- |
- |
|
Set_Speed |
Input |
Uint8 |
1 |
0 |
255 |
- |
- |
|
Set_Gap |
Input |
Uint8 |
1 |
0 |
255 |
- |
- |
|
CruiseSwitch |
Input |
Boolean |
1 |
0 |
1 |
- |
- |
|
SetSwitch |
Input |
Boolean |
1 |
0 |
1 |
- |
- |
|
Acceleration_Mode |
Output |
Uint8 |
1 |
0 |
255 |
- |
- |
|
LeadVehicle_Speed |
Output |
Uint8 |
1 |
0 |
255 |
- |
- |
|
DriveVehicle_Speed |
Output |
Uint8 |
1 |
0 |
255 |
- |
- |
|
LeadVehicle_Detected |
Output |
Uint8 |
1 |
0 |
255 |
- |
- |
SLDD is created as per the given input:
In the Simulink click on the Modelling ---> dropdowm icon ---> Link to Data Dictionary --->New create a new SLDD file and then link it to the model. The signal parameters are decleares as per the SLDD data type requirement mentioned earlier.
Model Advisor Check:
For teh Model Advisor check MAB guidelines we are getting the report as shown below:
The report for teh model asdvisor check attached with this project submission in which we got 130 pass,0 fail,14 warning.
CODE GENERATION:
ACC_CODE
/*
* File: ACC_Model.c
*
* Code generated for Simulink model 'ACC_Model'.
*
* Model version : 1.4
* Simulink Coder version : 9.5 (R2021a) 14-Nov-2020
* C/C++ source code generated on : Tue May 17 23:28:27 2022
*
* Target selection: ert.tlc
* Embedded hardware selection: Intel->x86-64 (Windows64)
* Code generation objectives: Unspecified
* Validation result: Not run
*/
#include "ACC_Model.h"
#include "ACC_Model_private.h"
/* Named constants for Chart: '<S1>/ACC_Algorithm' */
#define ACC_IN_LeadVehicle_Not_Detected ((uint8_T)3U)
#define ACC_Model_IN_ACC_OFF_MODE ((uint8_T)1U)
#define ACC_Model_IN_ACC_ON_MODE ((uint8_T)2U)
#define ACC_Model_IN_ACC_STANDBY_MODE ((uint8_T)3U)
#define ACC_Model_IN_NO_ACTIVE_CHILD ((uint8_T)0U)
#define IN_LeadVehicle_Detected_Follow ((uint8_T)1U)
#define IN_LeadVehicle_Detected_Resume ((uint8_T)2U)
#define IN_LeadVehicle_Not_Detected_Res ((uint8_T)4U)
#define IN_LeadVehicle_Speed_equal_Set_ ((uint8_T)5U)
#define IN_LeadVehicle_Speed_lessthan_S ((uint8_T)6U)
/* Exported data definition */
/* Definition for custom storage class: ExportToFile */
uint8_T Acceleration_Mode; /* '<S1>/Unit Delay' */
/* Block states (default storage) */
DW_ACC_Model_T ACC_Model_DW;
/* External outputs (root outports fed by signals with default storage) */
ExtY_ACC_Model_T ACC_Model_Y;
/* Real-time model */
static RT_MODEL_ACC_Model_T ACC_Model_M_;
RT_MODEL_ACC_Model_T *const ACC_Model_M = &ACC_Model_M_;
/* Model step function */
void ACC_Model_step(void)
{
/* local block i/o variables */
uint8_T LeadVehicle_Speed;
uint8_T DriveVehicle_Speed;
uint8_T LeadVehicle_Detected;
/* Sum: '<S4>/Add' incorporates:
* Inport: '<Root>/CameraInput_LeadVehicle'
* Inport: '<Root>/RadarInput_LeadVehicle'
*/
LeadVehicle_Speed = (uint8_T)((uint32_T)CameraInput_LeadVehicle +
RadarInput_LeadVehicle);
/* UnitDelay: '<S1>/Unit Delay' */
Acceleration_Mode = ACC_Model_Y.Acceleration_Mode_d;
/* Sum: '<S3>/Add' incorporates:
* Inport: '<Root>/CameraInput_DriveVehicle'
* Inport: '<Root>/RadarInput_DriveVehicle'
*/
DriveVehicle_Speed = (uint8_T)((uint32_T)(uint8_T)((uint32_T)
CameraInput_DriveVehicle + Acceleration_Mode) + RadarInput_DriveVehicle);
/* SignalConversion: '<S3>/Signal Conversion' incorporates:
* Inport: '<Root>/RadarInput_DriveVehicle'
*/
LeadVehicle_Detected = RadarInput_DriveVehicle;
/* Chart: '<S1>/ACC_Algorithm' incorporates:
* Inport: '<Root>/CruiseSwitch'
* Inport: '<Root>/SetSwitch'
* Inport: '<Root>/Set_Gap'
* Inport: '<Root>/Set_Speed'
* Inport: '<Root>/Time_Gap'
* UnitDelay: '<S1>/Unit Delay'
*/
if (ACC_Model_DW.is_active_c3_ACC_Model == 0U) {
ACC_Model_DW.is_active_c3_ACC_Model = 1U;
ACC_Model_DW.is_c3_ACC_Model = ACC_Model_IN_ACC_OFF_MODE;
ACC_Model_Y.Acceleration_Mode_d = 0U;
} else {
switch (ACC_Model_DW.is_c3_ACC_Model) {
case ACC_Model_IN_ACC_OFF_MODE:
ACC_Model_Y.Acceleration_Mode_d = 0U;
if (CruiseSwitch) {
ACC_Model_DW.is_c3_ACC_Model = ACC_Model_IN_ACC_STANDBY_MODE;
ACC_Model_Y.Acceleration_Mode_d = 1U;
}
break;
case ACC_Model_IN_ACC_ON_MODE:
if (!SetSwitch) {
ACC_Model_DW.is_ACC_ON_MODE = ACC_Model_IN_NO_ACTIVE_CHILD;
ACC_Model_DW.is_c3_ACC_Model = ACC_Model_IN_ACC_STANDBY_MODE;
ACC_Model_Y.Acceleration_Mode_d = 1U;
} else if (!CruiseSwitch) {
ACC_Model_DW.is_ACC_ON_MODE = ACC_Model_IN_NO_ACTIVE_CHILD;
ACC_Model_DW.is_c3_ACC_Model = ACC_Model_IN_ACC_OFF_MODE;
ACC_Model_Y.Acceleration_Mode_d = 0U;
} else {
switch (ACC_Model_DW.is_ACC_ON_MODE) {
case IN_LeadVehicle_Detected_Follow:
ACC_Model_Y.Acceleration_Mode_d = 2U;
if (LeadVehicle_Detected == 0) {
ACC_Model_DW.is_ACC_ON_MODE = ACC_IN_LeadVehicle_Not_Detected;
ACC_Model_Y.Acceleration_Mode_d = 1U;
/* */
} else if (((LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed)) || (Time_Gap < Set_Gap)) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Speed_lessthan_S;
ACC_Model_Y.Acceleration_Mode_d = 4U;
}
break;
case IN_LeadVehicle_Detected_Resume:
ACC_Model_Y.Acceleration_Mode_d = 3U;
/* */
if ((DriveVehicle_Speed == Set_Speed) && (LeadVehicle_Speed >=
Set_Speed) && (Time_Gap >= Set_Gap)) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Detected_Follow;
ACC_Model_Y.Acceleration_Mode_d = 2U;
} else if (LeadVehicle_Detected == 0) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Not_Detected_Res;
ACC_Model_Y.Acceleration_Mode_d = 1U;
/* */
} else if ((DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed >
DriveVehicle_Speed) && (Time_Gap >= Set_Gap)) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Speed_equal_Set_;
ACC_Model_Y.Acceleration_Mode_d = 5U;
}
break;
case ACC_IN_LeadVehicle_Not_Detected:
ACC_Model_Y.Acceleration_Mode_d = 1U;
/* */
if ((LeadVehicle_Detected == 1) && (DriveVehicle_Speed == Set_Speed) &&
(LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Detected_Follow;
ACC_Model_Y.Acceleration_Mode_d = 2U;
/* */
} else if (((LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed)) || (Time_Gap < Set_Gap)) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Speed_lessthan_S;
ACC_Model_Y.Acceleration_Mode_d = 4U;
}
break;
case IN_LeadVehicle_Not_Detected_Res:
ACC_Model_Y.Acceleration_Mode_d = 1U;
break;
case IN_LeadVehicle_Speed_equal_Set_:
ACC_Model_Y.Acceleration_Mode_d = 5U;
/* */
if ((LeadVehicle_Detected == 0) || (DriveVehicle_Speed <= Set_Speed))
{
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Not_Detected_Res;
ACC_Model_Y.Acceleration_Mode_d = 1U;
/* */
} else if (((DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed >
DriveVehicle_Speed)) || (Time_Gap >= Set_Gap)) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Detected_Resume;
ACC_Model_Y.Acceleration_Mode_d = 3U;
/* */
} else if (((LeadVehicle_Speed < Set_Speed) && (LeadVehicle_Speed <
DriveVehicle_Speed)) || (0.75 * (real_T)Set_Gap ==
Time_Gap)) {
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Speed_lessthan_S;
ACC_Model_Y.Acceleration_Mode_d = 4U;
}
break;
default:
/* case IN_LeadVehicle_Speed_lessthan_Set_Speed: */
ACC_Model_Y.Acceleration_Mode_d = 4U;
/* */
if ((LeadVehicle_Detected == 0) && (DriveVehicle_Speed == Set_Speed))
{
ACC_Model_DW.is_ACC_ON_MODE = ACC_IN_LeadVehicle_Not_Detected;
ACC_Model_Y.Acceleration_Mode_d = 1U;
/* */
} else if (((real_T)LeadVehicle_Speed * 1.25 >= DriveVehicle_Speed) &&
((real_T)LeadVehicle_Speed * 0.75 <= DriveVehicle_Speed) &&
(DriveVehicle_Speed < Set_Speed) && ((Time_Gap <= 1.25 *
(real_T)Set_Gap) && (Time_Gap >= 0.75 * (real_T)Set_Gap)))
{
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Speed_equal_Set_;
ACC_Model_Y.Acceleration_Mode_d = 5U;
}
break;
}
}
break;
default:
/* case IN_ACC_STANDBY_MODE: */
ACC_Model_Y.Acceleration_Mode_d = 1U;
if (!CruiseSwitch) {
ACC_Model_DW.is_c3_ACC_Model = ACC_Model_IN_ACC_OFF_MODE;
ACC_Model_Y.Acceleration_Mode_d = 0U;
} else if (SetSwitch) {
ACC_Model_DW.is_c3_ACC_Model = ACC_Model_IN_ACC_ON_MODE;
ACC_Model_DW.is_ACC_ON_MODE = IN_LeadVehicle_Detected_Follow;
ACC_Model_Y.Acceleration_Mode_d = 2U;
}
break;
}
}
/* End of Chart: '<S1>/ACC_Algorithm' */
}
/* Model initialize function */
void ACC_Model_initialize(void)
{
/* (no initialization code required) */
}
/* Model terminate function */
void ACC_Model_terminate(void)
{
/* (no terminate code required) */
}
/*
* File trailer for generated code.
*
* [EOF]
*/
The code is successfully generated by clicking on the APPS ---> Embedded code --->Built. Then the Embedded C code is generated for the said Model (Adaptive Cruise Control).
The link for the Model of whole project is given below and is also attached in teh browse section:
https://drive.google.com/file/d/1cYMMfQOwvXSkwwaBPfzXL2ZRxnmOAJGh/view?usp=sharing