It is important to know that PID controllers are not the only type of compensation a designer can apply to system, but it's a great place to start and learn some of the universal characteristics that will stay true in other methods. The final step would be to bring these two together and design a PID controller that will compensate the originally observed system. This means that the vehicleвЂ™s control system is first given a desired output, then manages errors of the actual output by compensating for the input (for example, by how much fuel is provided to the engine).Д«efore solving for a system, we will briefly analyze the components and behavior of a system (uncompensated) and then the individual components of a PID (proportional-integral-derivative) controller. If youвЂ™ve ever used this feature on a car, you may have noticed that the car tends to keep a very smooth pace on the velocity youвЂ™ve chosen - it doesnвЂ™t abruptly accelerate or decelerate. A control system which has become commonplace in the automotive industry is the cruise control system: an output is programmed by the driver, and the control system has to manage all of the vehicle readings in order to maintain velocity.Д«ecause the road we drive on has imperfections, sometimes the system will have to accelerate or decelerate automatically. Control systems engineering requires knowledge of at least two basic components of a system: the plant, which describes the mathematically modeled behavior of your system, and the outputВ which is the goal you are trying to reach.

Matlab control system designer