The proposed PID tuning method has similar approach to the recently published paper of Shamsuzzoha and Skogestad (2010). It is one step procedure to obtain the PID setting which gives the better performance and robustness. The method requires one closedloop step setpoint response experiment using a proportional only controller with gain Kc0. Based on simulations for a range of first-order with ...

Abstract-This paper suggests an inverse optimal PID control design method for mechanical manipulators. We find the Lyapunov function and the control law satisfying the disturbance input-to-state stability by using the characteristics of Lagrange system. Also, we show that the inverse optimal PID controller satisfies the HamiltonJacobi-Isaacs equation. Hence, the inverse optimality of the closed...

A method for PID controller tuning based on process models for series cascaded control systems using anti-reset windup technique is proposed in this paper. Closed loop response is obtained using auto tuning of PID controller. This method can be applied to any closed loop stable processes. Closed loop responses of series cascade control loops tuned by the proposed anti-reset windup technique met...

In this paper swarm intelligence based PID controller tuning is proposed for a nonlinear ball and hoop system. Particle swarm optimization (PSO), Artificial bee colony (ABC), Bacterial foraging optimization (BFO) is some example of swarm intelligence techniques which are focused for PID controller tuning. These algorithms are also tested on perturbed ball and hoop model. Integral square error (...

The proposed work deals with optimal tuning of a Proportional-Integral-Derivative (PID) controller for speed control of a DC shunt motor. PID controllers are widely used in industrial plants because of their simplicity and robustness. Industrial processes are subjected to variation in parameters and parameter perturbations, which when significant makes the system unstable. So the control engine...

Despite the popularity of PID (Proportional-Integral-Derivative) controllers, their tuning aspect continues to present challenges for researches and plant operators. Various control design methodologies have been proposed in the literature, such as auto-tuning, self-tuning, and pattern recognition. The main drawback of these methodologies in the industrial environment is the number of tuning pa...

This paper presents a tuning approach based on Continuous firefly algorithm (CFA) to obtain the proportional-integralderivative (PID) controller parameters in Automatic Voltage Regulator system (AVR). In the tuning processes the CFA is iterated to reach the optimal or the near optimal of PID controller parameters when the main goal is to improve the AVR step response characteristics. Conducted ...

A new auto-tuning approach for centralized MIMO PID controllers and unknown process models is presented. Classical multivariable PID controller tuning methods are combined with iterative feedback tuning (IFT) to develop an auto-tuning method with a bounded number of tuning parameters. The method is demonstrated and validated with a steam generator example. Very good simulation results are obtai...

In this paper, design of PID controller is analyzed for unstable second order processes with time delay based on IMC method and H2 minimization. A new desired closed loop transfer function is obtained based on which the PID controller is designed. Maclaurin series is used to approximate the controller expression as a PID controller. Improved closed loop performances are achieved with the propos...

AbstractA Composition control system is discussed in this paper in which the PID controller is tuned using Genetic Algorithm & Ziegler-Nichols Tuning Criteria. Tuning methods for PID controllers are very important for the process industries. Traditional methods such as Ziegler-Nichols method often do not provide adequate tuning. Genetic Algorithm (GA) as an intelligent approach has also been wi...