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Lec 14. PID Controller Design

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1 Lec 14. PID Controller Design
Some commonly used controllers Proportional Controller Integration Controller Derivative Controller PID controller Ziegler-Nichols tuning rules TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAA

2 Design of Unity-Feedback Systems
Objectives in designing controller C(s) Stability (first priority) Steady state error (static) Time specifications (dynamic) controller plant +

3 Some Commonly Used Controllers
Proportional (P) controller: Integration (I) controller: Derivative (D) controller: Or combination of them, such as Proportional plus Integration (PI) controller: Controllers using root locus & frequency-response design Phase-lead compensator Phase-lag compensator Lag-lead compensator

4 Proportional Controller
plant 𝐺(𝑠) + Can change closed-loop pole locations along root locus Increasing 𝐾 can decrease steady state tracking error, but cannot change system type Stability may become an issue for large 𝐾

5 Example 1 𝑠+1 +

6 Integration Controller
plant 1 𝑠+1 + A integration controller can increase the system type by 1 For a type 0 system, the compensated system is of type 1 Hence, steady state error for step input is completely eliminated Compared with proportional controller, instability in general a bigger issue for large K

7 Step Responses

8 PI Controller 1 𝑠+1 Proportional controller: increase system response
Integration controller: increase system type (reduce tracking error) Proportional plus Integration (PI) controller: controller plant 1 𝑠+1 +

9 Step Responses (T=1)

10 Derivative Controller
plant 𝐾 𝑑 𝑠 + Derivative controller C(s)=Kds Anticipate and correct error before it becomes too large Add damping to the system Highly sensitive to the error e(t) Tend to increase the stability of the system Almost always used along with P or PI controller

11 Example 1 𝐽 𝑠 2 𝐢(𝑠) Plant is a double integrator
controller plant 1 𝐽 𝑠 2 𝐢(𝑠) + Plant is a double integrator Two choices for the controller C(s) A proportional controller 𝐢 𝑠 = 𝐾 𝑝 A proportional plus derivative (PD) controller 𝐢 𝑠 = 𝐾 𝑝 + 𝐾 𝑑 𝑠

12 Proportional Controller
Step Response (J=10, Kp=1): Changing Kp can only change the frequency of the undamped oscillation

13 PD Controller Proportional plus derivative controller
Closed-loop transfer function is a (non-standard) second order system Step Response (J=10, Kp=1): Increasing the derivative component will lead to more damping in the step response, and improve the stability of the system

14 Step Response (J=10, Kd=10) The improved stability caused by the derivative component allows us to choose larger gain for the proportional component, thus reducing steady state error (indirectly)

15 PID Controller A combination of proportional, integration and derivative controllers: Three parameters to adjust (more flexibility) Widely used for controlling practical systems

16 PID Controller PID (Proportional-Integral-Derivative) Controller:
Controller output: Three adjustable parameters: Often used for plant with unknown model controller plant +

17 PID Tuning

18 First Method Obtain plant’s unit step response experimentally
For many plants, unit step response is S-shaped Delay time L Time constant T

19 Determining L and T

20 Ziegler-Nichols Turning Rule (First Method)
Type of Controller P PI PID (provided educated guesses for the parameter values)

21 Second Method (If no oscillation occurs for all values of Kp,
(If no oscillation occurs for all values of Kp, this method is not applicable) controller plant +

22 Ziegler-Nichols Turning Rule (Second Method)
Type of Controller P PI PID (provided educated guesses for the parameter values)

23 Example PID controller (second method): controller plant +

24 Step Responses compensated by compensated by uncompensated

25 Example PID controller (first method):


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