This study on the design of PID controllers for flexible single-arm robot system optimizationPSO method is focused so that the coefficients of the PID controller are reduced. In this study,PID controller and PSO algorithm have been described and then by using MATLAB, PIDcontrol was simulated. Then by PSO algorithm, attempts to reduce the PID coefficients are givenby simulation. Finally PID coef...

The design of intelligent control systems has become an area of intense research interest. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The most commonly used controller in the industry field is the proportional-plus-integral-plus-derivative (PID) controller. Fuzzy logic contr...

Geared Dc motors can be controlled by many controllers which may include the conventional PID controllers and various other techniques. The sliding mode control is one of the good controllers which can be used for conditions like disturbances and parameter variations. The system responses are compared when PID controller is applied to the system. SMC methods yield nonlinear controllers which ar...

Gimbal is a system in missiles that allows the seeker to lock onto target and follow it increases angle of view with its mobility two axes. In this study, control axes two-axis gimbal used missile was carried out. PID controller tuned Particle Swarm Optimization (PSO) algorithm. optimization, smoother aimed by using multi-objective objective function, which also includes output position error. ...

The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, Fuzzy Control has made possible the establishment of int...

In this paper, we propose a data-based auto-tuning method for industrial PID controllers, which does not rely on a model of the plant. The method is inspired by the Virtual Reference Feedback Tuning approach for data-based controller tuning, but it is taylored to the framework of PID controller design. The method is entirely developed in a deterministic, continuous time setting, where the assum...

Proportional-Integral-Derivative (PID) controllers are the most employed controllers in industry. As one of the PID parameter tuning methods, partial model matching method is proposed by Kitamori. In this method, we can get the PID parameters calculated systematically. However, if we cannnot get the enough information about controlled object in advance, the performance of sysytem may become bad...

There are at least two kinds of methods of designing (computational) verb proportional-integral-derivative(PID) controllers. The first one is to generalize fuzzy PID controllers by substituting “BE” in fuzzy control rules with non-static computational verbs. The second one is to directly construct evolving functions of verbs in human experiences of dynamic processes. These methods will lead to ...

This paper reports on the synthesis of different flight controllers for an X-Cell mini-helicopter. They are developed on the basis of the most realistic mathematical model currently available. Two hybrid intelligent control systems, combining computational intelligence methodologies with other control techniques, are investigated. For both systems, Mamdanitype fuzzy controllers determine the se...