In the control theory one attempts to find a controller that provides the best possible performance with respect to some given measures of performance. There are many sorts of controllers e.g. a typical PID controller, LQR controller, Fuzzy controller etc. In the paper will be introduced polynomial controller with novel tuning method which is based on the special pole placement encoding scheme ...

The filter term of a PID with Filter controller reduces the impact of measurement noise on the derivative action of the controller. This impact is quantified by the controller output travel defined as the total movement of the controller output per unit time. Decreasing controller output travel is important to reduce wear in the final control element. Internal Model Control (IMC) tuning correla...

We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion u...

An unsolved ancient problem in position control of robot manipulators is to find a stability analysis that proves global asymptotic stability of the classical PID control in closed loop with robot manipulators. The practical evidence suggests that in fact the classical PID in industrial robots is a global regulator. The main goal of the present paper is theoreticall...

Up to the present time, PID Controller has been widely used to control industrial process loops because of its implementational advantages. However, it is very difficult to achieve an optimal PID gain with no experience, since the parameters of the PID controller has to be manually tuned by trial and error. This paper focuses on tuning of the PID controller using gain/phase margin and immune al...

This paper presents the development and implementation of a hybrid controller to automatically levitate and precisely regulate the position of a suspended rotor in Active Magnetic Bearing system. The inherent nonlinearity and open-loop instability of AMBs present challenges for design a controller and the problem can be formulated as a dynamic, multivariable optimization problem. A single neuro...

An observer based adaptive PID controller with micro genetic algorithm (MGA) tuning its parameters is proposed in this paper. The task of the controller is to track the desired trajectory of a nonlinear system as best as it could. The proposed adaptive PID controller consists of 3 components including the PID controller, the control compensating for the external disturbance and the modeling err...

In this paper, an optimal speed controller for dc motor is considered using a PID and tuned its parameters of gain to offer solution by modified camel algorithm MCA approach. The proposed scheme was applied solve the difficulty getting optimum gains parameters. has good evolutionary with simple construction optimization depend on searching performance. characteristics were confirmed optimizing ...

To solve the difficulty in selecting crossover probability and mutation genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of reasoning system is proposed, it used parameter optimization design two-degree-of-freedom PID controller. According to experiment simulation results, classic evolution tends halt after 37 generations, with fitness value 7.135, whereas stop 20 7.486...

A PID-deadtime controller is realized by inserting a time delay into the integral feedback circuit. Such a controller possesses a transfer function similar to a Smith predictor or an internal-model controller. Effective tuning of PID deadtime controllers remains unsolved even though they give better regulatory performance than a conventional PID control algorithm for processes with a long pure ...