Is Adaptive Cruise Control (ACC) need to be integrated with ESP and TCS? How it can be modeled in Matlab & Simulink? Can I get an experimental readings for ACC?
I am sure you already read about how ACC works, so lets narrow the question down to how to simulate ACC and verified via experiment. Let me be clear first that I never simulate ACC, so this advice is merely theoretical.
If I want to simulate ACC, first I need the model of the vehicle. The input will be acceleration and braking (ESP and TCS optional), the output will be torque and speed. Then I need to incorporate some data about the vehicle in front of the vehicle under test (VUT). In real life this will be from radar mounted in front of vehicle. The data should tell me the distance and the speed of the vehicle in front of VUT. These two steps construct the platform for the study. Only then I will be able to start developing the control for ACC.
As for the experiment, I have seen a test and measurement product from Agilent (now known as Keysight Technologies) that allow you to emulate the vehicle in front of VUT using three manipulation of radar data. The test will emulate the size, the speed and the distance of the vehicle. You need anechoic chamber for the test. If you need a more comprehensive system level experiment, then you need a dynamometer.
All the best. And oh, it is better if you have some linkage with automotive industry in this kind of study.
Two companies are developing a more advanced cruise control that can automatically adjust a car's speed to maintain a safe following distance. This new technology, called adaptive cruise control, uses forward-looking radar, installed behind the grill of a vehicle, to detect the speed and distance of the vehicle ahead of it.
Adaptive cruise control is similar to conventional cruise control in that it maintains the vehicle's pre-set speed. However, unlike conventional cruise control, this new system can automatically adjust speed in order to maintain a proper distance between vehicles in the same lane. This is achieved through a radar headway sensor, digital signal processor and longitudinal controller. If the lead vehicle slows down, or if another object is detected, the system sends a signal to the engine or braking system to decelerate. Then, when the road is clear, the system will re-accelerate the vehicle back to the set speed.
The 77-GHz Autocruise radar system made by TRW has a forward-looking range of up to 492 feet (150 meters), and operates at vehicle speeds ranging from 18.6 miles per hour (30 kph) to 111 mph (180 kph). Delphi's 76-GHz system can also detect objects as far away as 492 feet, and operates at speeds as low as 20 mph (32 kph).
Adaptive cruise control is just a preview of the technology being developed by both companies. These systems are being enhanced to include collision warning capabilities that will warn drivers through visual and/or audio signals that a collision is imminent and that braking or evasive steering is needed.
I am sure you already read about how ACC works, so lets narrow the question down to how to simulate ACC and verified via experiment. Let me be clear first that I never simulate ACC, so this advice is merely theoretical.
If I want to simulate ACC, first I need the model of the vehicle. The input will be acceleration and braking (ESP and TCS optional), the output will be torque and speed. Then I need to incorporate some data about the vehicle in front of the vehicle under test (VUT). In real life this will be from radar mounted in front of vehicle. The data should tell me the distance and the speed of the vehicle in front of VUT. These two steps construct the platform for the study. Only then I will be able to start developing the control for ACC.
As for the experiment, I have seen a test and measurement product from Agilent (now known as Keysight Technologies) that allow you to emulate the vehicle in front of VUT using three manipulation of radar data. The test will emulate the size, the speed and the distance of the vehicle. You need anechoic chamber for the test. If you need a more comprehensive system level experiment, then you need a dynamometer.
All the best. And oh, it is better if you have some linkage with automotive industry in this kind of study.
I am reading papers on ACC, I didn't found any explanation about integration of ABS and ESP with it. Is it necessary to have this integration? or will ACC needs input from ABS and ESP?
In some papers researchers / authors used two sensors. Long range sensor and near field sensor, why is it so? Can we have long range sensor used for short distance?
As far as I am concern, ABS and ESP determine how the vehicle brakes. Obviously, if you incorporate these functions into the model, then the model reacts more alike a vehicle with ABS/ESP.
So, how will this affects ACC? ACC tells the vehicle to apply certain level of braking based on the distance and the speed of front vehicle. ABS and ESP affects the level of braking, that's all. Will ACC works without ABS/ESP? Of course it will, it is just the vehicle brakes in slightly different level. That's why I think these features are optional, depends on your scope.