The problem of robust multiloop proportional-integral-derivative (PID) controller tuning for multivariable processes is addressed in this paper. The problem is formulated in the H∞ control framework, and the controller parameters are determined based on both user-specified performance and robust stability. The PID settings are computed by solving a nonlinear optimization problem with matrix ine...

Abstract: This paper presents a new method for a PID-control design in which the PID-control loop is represented as an equivalent one to a control loop operating with an optimized PI-controller and a Smith predictor. It requires the nearest approximation of the power plant process description and the dead-time transfer function. The presented method is based on the PID-controller transfer funct...

Proportional-Integral-Derivative (PID) controllers are still extensively used in industrial systems. In the literature, many publications can be found considering PID controller design for processes with integrators and unstable transfer functions. However, due to structural limitations of PID controllers, generally, good closed loop performance cannot be achieved with a PID for controlling afo...

The aim of this research is to design a PID Controller using particle swarm optimization (PSO) algorithm for multiple-input multiple output (MIMO) Takagi-Sugeno fuzzy model. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics approach such as PSO are employed to enhance the capability of tradition...

In this study, a modified quantum-behaved particle swarm optimization (MQPSO) approach is proposed to design an optimal fuzzy PID controller for asymptotical stabilization of a pendubot system. In the fuzzy PID controller, parameters are determined by using MQPSO algorithm. The MQPSO method and other PSO methods are then applied to design an optimal fuzzy PID controller in a pendubot system. Co...

In this paper, an online adaptation scheme for tuning of PID parameters is presented. This scheme is based upon our previous works on using a data-driven method to obtain a sufficient condition for robust stability and integrating robustness into the Unfalsified Control framework. Here, a modified bumpless transfer approach to facilitate the adaptation of the PID controller parameters is presen...

Brushless DC(BLDC) motors are widely used for many industrial applications, In view of the problem that it is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID controller. a online identification method based on Radial Basis Function(RBF) has been proposed in this paper. In this method, connection weight of neural network was revised in ...

In the present paper, the problem of computation of all stabilizing high-order time delay systems using well known and efficient proportionalintegral-derivative (PID) controller is investigated in a graphical approach. An efficient approach to this important problem is presented. Based on this approach, all PID controllers that will ensure stability are determined in a ) , , ( d i p k k k plane...

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...