A control scheme is being presented for the trajectory tracking of a nonholonomic kinematic model of mobile robots. As a kinematic model of mobile robots is nonlinear in nature, therefore, it is controlling is always being a difficult task. Thus, a control hybrid scheme comprises of fuzzy logic and PID (Proportional Integral Derivative) is being proposed, in which adaptive gains of PID controll...

-This paper presents the relative difference between the linear and nonlinear controller. The linear controller namely Proportional integral derivate controller (PID) and nonlinear controller called Generalized Proportional Integral (GPI) controller and Sliding mode controller are considered for the response analysis. The transient and dynamic performances of the linear and nonlinear controller...

The extensive expansion of large photovoltaic (PV) farms in power systems diminishes both system inertia and synchronizing coupling. Due to the occurrence of several faults, the power system transient stability may be damaged. However the transient stability is improved by the fast power controlling ability of the PV inverter. This paper focuses on the new application of large PV farms equipped...

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: Artificial neural network (ANN) control of static compensator (STATCOM) to improve the damping of power systems is presented. The proposed control strategy is applied on a STATCOM attached to a single machine-infinite bus (SMIB) and a multi-machine power systems that include a superconducting generator (SCG). The proposed control method, ANN-STATCOM is designed based on proportional i...

In this paper we propose a parallel structure of I-P-D (Integral minus Proportional minus Derivative) type fuzzy controller based on the conventional PID control theory, used to control the speed of DC motor. The conventional PID controller exhibit poor performance when applied to DC motor, it fails to perform satisfactory under parameter variation or load changes. The parallel I-P-D type fuzzy...

It is well known that the proportional-integral-derivative (PID) can be applied to solve practical control problems effectively. However, in the face of the high system nonlinearity, the PID controller with fixed parameters may fail to provide satisfactory control performance. To enhance the PID control effect, a new design of the fuzzy gain scheduling of PID controller (FGS-PID) is presented i...

This paper presents open loop characteristics of the flexure stage based single input single output (SISO) nanopositioning device. The dynamic characteristics of the device have been analyzed. System characteristics can be improved by using different types of feedback controllers. To provide consistent, reliable and safe solution to the industrial control problems, different tuning schemes such...

A concept called the decomposition of multivariable control rules is presented. Fuzzy control is the application of the compositional rule of inference and it is shown how the inference of the rule base with complex rules can be reduced to the inference of a number of rule bases with simple rules. A fuzzy logic based controller is applied to a simple magnetic suspension system. The controller h...