How does the diesel generator sets regulating speed

How does the diesel generator sets regulating speed?
TMS320LF2407 first by the establishment of the diesel generator speed control PID speed control system model, because the PID control is simple and convenient, does not require accurate system model, is still the most widely used industrial industrial controller, the PID control method, and then After the establishment of a system model based on using the MATLAB SIMULINK simulation study. The governor established the model can choose different control methods, by comparing with conventional PID, PID control variable points, incomplete differential PID control and fuzzy PID control of different effects. Here is a different process parameters on the quality of system dynamics studies.
A digital speed control system block diagram for Simulink
 In the establishment of a speed control system of diesel generator sets of various models, you can use the MATLAB Simulink tools to create based on conventional PID control, variable speed integral PID control, incomplete differential PID control and fuzzy PID control of the speed control system block diagram.
1.1 conventional PID control
 First look at the conventional PID control, the following is its system simulation block diagram shown in Figure 1: This is the most conventional use of the PID control system diagram, drawn by the simulation of the real control system block diagram, observe the effect of conventional PID control.
1.2 incomplete derivative PID control
 The following is incomplete derivative PID control system simulation block diagram shown in Figure 2: Figure 2 incomplete derivative PID control system simulation block diagram of this is based on a conventional PID is not entirely derivative, which is used to improve its control function, achieve better control effect.
1.3 PID control integral variable speed
 Below is a variable speed integral PID control system simulation block diagram shown in Figure 3.
1.4 Fuzzy PID control
 Adaptive fuzzy PID control is adaptive control theory and conventional PID controller combined with the absorption of adaptive control and conventional PID control advantages. First, it has the adaptive ability to automatically trace the source of the controlled process parameters, auto-tuning control parameters, able to adapt to changes in model parameters, the controlled process; followed it with a conventional PID controller structure is simple, robust, high reliability advantages. This makes the adaptive process control of PID control as an ideal control method.
If the control box with fuzzy fuzzy controller design, then build in Simulink system simulation model, the fuzzy controller module and we design the structure of the FIS link, it can be a simulation, system simulation block diagram of the establishment of key three parameters of PID Kp, Ki, Kd of the whole set, which must take into account the interaction of three parameters at different times and the relationships between them.
The following from the generator system stability, response speed, overshoot and steady-state accuracy and other aspects to consider Kp, Ki, Kd role in the establishment of fuzzy rule table.
 (1) the role of proportional coefficient Kp is to speed up the system response speed, improve system regulation accuracy. Kp larger, faster system response, the system of higher regulation accuracy, but prone to overshoot, may lead to system instability. Kp value is too small, will reduce the regulation accuracy, so that slow response times, extended adjustment time, the system dynamic and static characteristics of deterioration.
(2) the role of integral action coefficient Ki is to eliminate the steady-state error. Ki bigger, faster system to eliminate the static error, but Ki is too large, early in the response process will produce integral saturation phenomenon, which led to larger overshoot response process. But Ki is too small will make the system difficult to eliminate the static error, affecting the regulation of the system accuracy.
 (3) the role of differential coefficient Kd role is to improve the system’s dynamic characteristics, and its main role is to inhibit the process of response bias in any direction to change, early warning of deviation changes. However, Kd is too large, the process ahead of brake response, extended adjustment time, and will reduce the system’s robustness. Here is the fuzzy control PID control system simulation block diagram shown in Figure 4.
Two pairs of system simulation
 Established a system simulation block diagram, you can study the system simulation, we can compare with conventional PID control and PID control integral variable, incomplete differential PID control, fuzzy adaptive PID control comparison, and a detailed analysis we use the fuzzy Figure 4 Fuzzy Control PID control block diagram of adaptive control system simulation simulation results. Simulation of the system will help us speed control system of diesel generator sets quick understanding, and we need a preliminary analysis of the control parameters of the system has a positive effect.
 Figure 4 Simulation diagram of fuzzy control by PID fuzzy control box in MATLAB to achieve, while the control system according to their own specific characteristics and requirements established, which can be the basic situation of reaction control system, simulation can play a good role .
 First of all, the more conventional PID control and PID control variable integral simulation results shown below: Figure 5 shows that, by changing the speed integral PID integral term of the accumulation rate, and deviation size makes it suited to large deviations when the slow points; deviation of hours, fast integration, which can reduce the overshoot, but better to eliminate static error.
 The following comparison of the conventional PID control and PID control is not fully differential difference, the simulation results shown in Figure 6. Incomplete derivative PID algorithm is introduced in a first-order inertia, making the system performance is improved, to improve the dynamic characteristics of the system when they try to reduce high frequency interference.
 Finally fuzzy adaptive control and conventional PID comparison, adaptive control and fuzzy simulation analysis. These are based on previously established model of the diesel generator system,
Here is its simulation results, shown in Figure 7. Fuzzy PID controller can be seen and compared to conventional PID control, which makes the system response time to reduce the overshoot, the curve is more smooth and faster reaction time, significantly better control effect. While fuzzy PID controller with fuzzy controller pre-control process characteristics, and in the latter part of the control process with all the advantages of PID controller, is an excellent controller, so in actual use fuzzy adaptive control method can be used .