"Electromechanical Drive Control"--DC motor speed Regulation simulation operation
Hu Hengxiang Machine Zhuo 1301 U201310563
First, the PID of each adjustment link introduction
In the PID adjustment, the function of each part is as follows:
Proportional regulation : Proportional control is one of the simplest control methods. The output of its controller is proportional to the input error signal. is proportional to the deviation of the system, once the system has a deviation, the proportional adjustment immediately produces an adjustment function to reduce the deviation. The proportional action is large, can speed up the adjustment, reduces the error, but the excessive proportion, causes the system stability to descend, even causes the system instability. The system output has a steady state error (steady-state error) when only proportional control is present.
Integral regulation function : In integral control, the output of the controller is proportional to the integral of the input error signal. For an automatic control system, if there is a steady state error after entering the steady state, it is said that the control system is a steady state error or a short differential system with steady-state error. In order to eliminate the steady state error, "integral term" must be introduced in the controller. The integral item pairs the error depends on the time integral, increases with the time, the integral term increases. Thus, even if the error is very small, the integral item will increase with time, it pushes the controller output increase so that the steady-state error further reduced, until equal to zero. Therefore, the proportional + integral (PI) controller can make the system have no steady state error after entering the steady state. The strength of integral action depends on the smaller the integral time constant Ti,ti, the stronger the integral function. On the other hand, TI is weak and integral adjustment can decrease the stability of the system and slow the dynamic response. The integral function is often combined with another two regulation rules to form PI regulator or PID regulator.
Differential Regulation : The differential action reflects the change rate of the system deviation signal, has the foresight, can foresee the tendency of the deviation change, so it can produce the leading control function, which has been eliminated by the differential regulation before the deviation has not formed. Therefore, the dynamic performance of the system can be improved. In the case of differential time selection, the overshoot can be reduced and the adjustment time reduced. The differential action amplifies the noise disturbance, so the excessive differential regulation is disadvantageous to the system anti-interference. In addition, the differential reaction is the rate of change, and when the input does not change, the differential action output is zero. The differential action cannot be used alone, and it needs to be combined with two other regulating laws to form a PD or PID controller.
Second, DC motor speed control simulation
When determining the parameters in P, I and D, the common parameter adjustment method is the critical proportional degree method, the attenuation curve method and the empirical method. In the process of simulation, the approximate KP value is determined by the critical proportional degree method. The simulation process originally planned to use PID adjustment, in a number of adjustments in the process, found that the effect of pi regulation has been relatively ideal, adding a differential link after the adjustment time slightly increased, it is still using pi adjustment. The adjustment parameters are determined to be kp=90,ki=30. The controller section of the program is shown in.
Motor current and speed curve as shown.
Further careful observation of the 0~0.2s curve, such as.
Visible, the PI control model has no overshoot, the current in 0.05 seconds to reach a stable value of 90%, 0.14 seconds to achieve a stable value, the adjustment time is short.
"Electromechanical Drive Control"--DC motor speed Regulation simulation operation