ECE 4951 Lecture 5: PID Control of Processes. PID Control A closed loop (feedback) control system, generally with Single Input-Single Output (SISO) A.

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Presentation transcript:

ECE 4951 Lecture 5: PID Control of Processes

PID Control A closed loop (feedback) control system, generally with Single Input-Single Output (SISO) A portion of the signal being fed back is: –Proportional to the signal (P) –Proportional to integral of the signal (I) –Proportional to the derivative of the signal (D)

When PID Control is Used PID control works well on SISO systems of 2 nd Order, where a desired Set Point can be supplied to the system control input PID control handles step changes to the Set Point especially well: –Fast Rise Times –Little or No Overshoot –Fast settling Times –Zero Steady State Error PID controllers are often fine tuned on- site, using established guidelines

Control Theory Consider a DC Motor turning a Load: –Shaft Position, Theta, is proportional to the input voltage

Looking at the Motor: Electrically ( for Permanent Magnet DC ):

Looking at the Motor Mechanically:

Combining Elect/Mech Torque is Conserved: Tm = Te

This Motor System is 2 nd Order So, the “plant”,G(s) = K / (s 2 + 2as + b 2 ) –Where a = damping factor, b = undamped freq. And a Feedback Control System would look like:

Physically, We Want: A 2 nd Order SISO System with Control Input:

Adding the PID: Consider the block diagram shown: C(s) could also be second order….(PID)

PID Block Diagram

PID Mathematically: Consider the input error variable, e(t): –Let p(t) = Kp*e(t) {p proportional to e (mag)} –Let i(t) = Ki* ∫ e(t)dt {i integral of e (area)} –Let d(t) = Kd* de(t)/dt {d derivative of e (slope)} AND let v(t) = p(t) + i(t) + d(t) Then in Laplace Domain: Vdc(s) = [Kp + 1/s Ki + s Kd] E(s)

PID Implemented Let C(s) = Vdc(s) / E(s) (transfer function) C(s) = [Kp + 1/s Ki + s Kd] = [Kp s + Ki + Kd s 2 ] / s (2 nd Order) THEN C(s)G(s) = K [Kd s 2 + Kp s + Ki] s(s 2 + 2as + b 2 ) AND Y/R = Kd s 2 + Kp s + Ki s 3 + (2a+Kd)s 2 + (b 2 +Kp) s + Ki

Implications Kd has direct impact on damping Kp has direct impact on resonant frequency In General the effects of increasing parameters is: Parameter: Rise Time Overshoot Settling Time S.S.Error Kp Decrease Increase Small Change Decrease Ki Decrease Increase Increase Eliminate Kd Small Change Decrease Decrease None

Tuning a PID There is a fairly standard procedure for tuning PID controllers A good first stop for tuning information is Wikipedia:

Deadband In noisy environments or with energy intensive processes it may be desirable to make the controller unresponsive to small changes in input or feedback signals A deadband is an area around the input signal set point, wherein no control action will occur