This paper investigates the control strategy for the electrical energy input to three phase electric arc ferrosilicon furnace. The classical PD fuzzy logic controller has two inputs. These inputs are the error in the V-I characteristic and the rate of the error in V-I characteristic. When the simulation result of this controller is compared with conventional PD type, it was shown that requires ...

The paper shows Matlab based interactive tool for noise attenuation motivated filtered PD and disturbance observer based filtered PID controller performance analyses and design. The user can set several control loop parameters (plant model parameters and their uncertainty, measurement noise, controller, filter parameters) and evaluate various performance measures. The comparison with traditiona...

In this paper, a new objective function to tune the PID/PI-PD controller is proposed by modifying the integral error squared (ISE) criterion. A new entrant to the family of evolutionary algorithms namely bacterial foraging is used to find the controller parameters by minimizing the objective function. The controller gives a smooth process output with almost zero percent overshoot as desired in ...

This paper deals with the design of a fuzzy PID Controller (FPIDC) with dynamic gain through a fuzzy scheme. The gain factor of Proportional, Integral and Derivative is varied according to process of the proposed dead time. FPIDC is modified which depends on the normalized change of error of the controlled variable (ec) and its number of fuzzy partitions. The proposed scheme is tested for a wid...

The paper’s main objective is to propose a new controller for robot manipulators on Cartesian Coordinates with formal stability proof. To verify the proposed controller’s behavior we need to compare it against the Cartesian PD controller, this comparison is accomplish by means of the Performance Index method that is an advantage to obtain a Scalar value of the sum of the error. Key–Words: Carte...

A two-wheeled self-balancing robot with a fuzzy PD control method is described and analyzed as an example of a high-order, multiple-variable, nonlinear, strong-coupling, and unstable system. Based on a system structure model, a kinetic equation is constructed using Newtonian dynamics andmechanics. After a number of simulation experiments, we get the bestQ,R, and state-feedback matrices. Then a ...

In this paper, a Proportional-Derivative and Integral (PD-I) type Fuzzy-Neural Network Controller (FNNC) based on Sugeno fuzzy model is proposed for brushless DC drives to achieve satisfied performance under steady state and transient conditions. The proposed FNNC uses the speed error, change of error and the error integral as inputs. While the PD-FNNC is activated in transient states, the PI-F...

This paper reveals the analytical structure of a fuzzy twoterm (PI/PD) controller which employs N1 (≥3) number of symmetric fuzzy sets for the input variable ‘displacement’, N2 (≥3) number of symmetric fuzzy sets for the input variable ‘velocity’ and N1+N2-1 number of symmetric fuzzy sets for the output variable ‘controller output’. The analytical structures are derived via triangular membershi...