A control system is a device or set of devices used to manage, command, direct or regulate the behavior of other devices to provide desired system response. PID controllers are the most popular controllers because of their effectiveness, simplicity of implementation and broad applicability. However, PID controller tuning is considered as an obstacle towards having an efficient and stable contro...

Due to simple functioning of PID controllers it is widely used in control systems. But tuning the parameters of controller is still a formidable challenge. Also, once the parameters are well tuned satisfactory performance cannot be guaranteed due to process changes and aging effect, so a regular tuning is needed which takes considerable time and may not be practically effective. Most of the con...

During the last years, the use of intelligent strategies for tuning of controller has been growing. The evolutionary strategies have won an important place thanks to their flexibility. PID tuning plays an important role in operations or tuning in the complex process such as the temperature of an oven used in many industrial applications. However, many tuning technologies for strictly maintainin...

The application of a self-organizing fuzzy proportional–integral–derivative (SOF-PID) controller to a multiple-input–multiple-output (MIMO) nonlinear revolute-joint robot arm is studied in this paper. The SOF controller is a learning supervisory controller, making small changes to the values of the PID gains while the system is in operation. In effect, the SOF controller replaces an experienced...

In this paper, design approach of PID controller with rejection function against external disturbance in motor control system is proposed using bacterial foraging based optimal algorithm. Up to the present time, PID Controller has been used to operate for AC motor drive because of its implementational advantages in practice and simple structure. However, it is not easy to achieve an optimal PID...

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...

This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a tim...

Proportional-Integral-Derivate (PID) controllers are widely used in industry because of their remarkable efficiency, simple structure and robust performance for a wide range of applications. Parameters tuning (Kp,Ki,Kd) of PID controller is necessary to satisfy the operation of the system. But many tuning methods such as Ziegler-Nichols methods do not work so perfectly as it is expected. Such m...

In this study, the self-tuning method for fuzzy PID controllers that has been developed in a previous study of the authors is implemented on PLC in order to control some standard processes formed on FEEDBACK PCS 327 Process Control Simulator. In this tuning method, the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral co...

Software for PID controller tuning PIDTOOL has been developed in the MATLAB– Simulink programming environment using its graphic user interface. The main aim of the PIDTOOL design was creating user friendly tool for simple and fast identification from the step response of the controlled process as well as for simple and fast PID controller tuning and checking the quality of control. The controll...