The setpoint overshoot method: A simple and fast closed-loop approach for PID tuning

A study of PID Neural Network Control Algorithm for Electric Gas Regulator

“…The incremental digital PID controller is difficult to achieve the ideal control effect because of the bad parameters tuning, the poor performance and the poor operation conditions adaptability [16,17]. Therefore, we use Back Propagation (BP) neural network to tune the digital PID parameters online, which can increase the accuracy and stability of the control system.…”

Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft

“…C. Grimholt [2] gives an idea of improving the Skogestad Internal Model PI control strategy. M Shamsuzzoha and S. Skogestad [3] discussed about the set-point overshoot method for a closed loop PID controller. S Yordanova and E Haralanova [4] designed and implemented a robust multivariable PI fuzzy controller for an aerodynamic system.…”

Controller Parameters Tuning Based on Transfer Matrix Method for Multibody Systems

“…However Ziegler-Nichols technique is one of the simplest techniques of PID tuning; there are several disadvantages, such as many trials are needed to find the stability limits and also not all tuning values work efficiently for all situations [7][8][9][10]. Shamsuzzoha and Skogestad (2010) developed a new procedure for PI/PID tuning method in closed-loop mode, only one closed-loop step test is required to deduce PI controller values. In this method also it is simple to obtain the PID tuning parameters in one step [11,12].…”