Multivariable systems are used more commonly in this age of Basic Automatic Control. Control parameters are becoming more complex by the day and the range of applications wider. In such complex systems, there are more than one input along with noise signals which are also present and there are more than one output. The physical variables such as flow, pressure, temperature, humidity, pH, etc. are to be controlled very closely. These variables may be interdependent. In general, the process control systems may he broadly classified as follows :
- Open loop control systems.
- Closed loop or feedback control system.
- Feed forward control system.
- Cascade control system.
- Ratio control system.
Basic Control Action
An automatic controller in a process plant works on the principle of a closed loop control system. It compares the actual value of the plant output with the desired or set-point value, a deviation (or error) is obtained which in turn produces a control signal that reduces the error to zero or to an acceptable minimum value. Figure 21.1 shows the diagram of a basic controller.
e = Error signal to be fed to controller
Em = measured value of the plant variable
Eref = reference or set point value of the variable
The manner in which the control signal (P) produced from the automatic controller, is fed to the final control element is called the control action.
e=Em-Eref is the expression for error. But, error is most often expressed as a percentage of full scale variable range. It is given by the expression:
Ep = error as percentage of range from set-point
Em = measured value of the process variable
Eref = reference, set point of the variable
Emax = maximum value of variable
Emin = minimum value of variable
Emax — Emin = full scale variable range
If Ep is positive, the measured value of the process variable is above the set point and if Ep is negative, it is below the set point value.