Time delay handling in dominant pole placement with PID controllers to obtain stability regions using random sampling

This paper proposes a new formulation of proportional-integral-derivative (PID) controller design using the dominant pole placement method for handling second-order-plus-time-delay (SOPTD) systems. It transforms the transcendental exponential delay term of the plant into finite number of discrete-time poles by a suitable choice of the sampling time. The PID controller has been discretised using Tustin's method and the controller gains are obtained using the dominant pole placement criterion where the plant is discretized using the pole-zero matching method. Random search and optimisation have been used to obtain the stability region in the desired closed loop parameters space by minimising the integral squared error (ISE) criterion by randomly sampling from the stabilizable region. Then these closed loop parameters are mapped on to the PID controller gains. Effectiveness of the proposed methodology is shown for nine test-bench plants with different lag to delay ratios, open loop damping, and sampling times.

Automated summary

This paper introduces a new formulation of PID controller design for SOPTD systems using dominant pole placement method. The PID controller is discretized using Tustin's method and stability region in the closed loop parameters space is obtained through random search and optimization.