The proportional-integral-derivative (PID) controller is tuned to find its parameters values. Generally most of the tuning methods depend mainly on the experimental approach of open-loop unit step response. The controller parameters can be found if the system truly can be approximated by First Order Plus-Dead Time (FOPDT). The performance of most of them deteriorates as the ratio of approximate...

I. Fuzzy adaptive principle Fuzzy control based on fuzzy set theory, fuzzy linguistic variables and fuzzy logic inference for a computer based control method widely used in the control field, as an important branch of intelligent control, fuzzy control compared with the traditional control method has the following outstanding advantages: · No precise mathematical model of controlled object; · U...

This paper presents an internal fuzzy neural model for PID controller tuning. The designed model is used as a predictor in an optimization task for PID controller. It is used a simplified gradient algorithm during the training of the fuzzy neural architecture and for tuning of PID controller’s parameters. The designed tuning algorithm is used for level control of a two cascaded water tanks. The...

In this study, peak observer based tuning method that adjusts the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral coefficient of the PID type fuzzy logic controller is implemented on PLC. The results of the peak observer based self-tuning fuzzy PID-type controller is compared with the fuzzy PID-type controller without ...

A hydraulic lifting-moving-rail equipment test bench is designed, which can lift and move the rail for examining and repairing. The loading system is an electric-hydraulic servo control system. The original control strategy has some disadvantages, such as overshoot and slow response, which severely effect dynamic performance and test precision of system. According to the fuzzy control theory, t...

In today‟s world, fuzzy logic and particle swarm optimization are used to answer various engineering problems. In this paper, the proportional integral derivative (PID) controller tuning by fuzzy rule method (FRMs) and a particle swarm optimization (PSO) algorithm are proposed to improve controller by adjusting transfer function parameters. The proposed fuzzy rule function and PSO algorithm sea...

In this dissertation Euler-Lagrange’s method is used to model the dynamics of two linked rigid manipulator. The multi input and the multi output model is found to be nonlinear. To observe and control the output response of manipulator, SIMULINK model is designed using S-Function block without any controller and the response found is unbounded. In order to control the position of the manipulator...

An coordinated control strategy has been proposed and successfully applied to 300MW circulating fluidized bed (CFB) units in China. The paper describes the new coordinated control (NCC) system to overcome the long settling time, strong coupling, nonlinearity and inconstancy encountered in CFB combustion. NCC is based on both fuzzy Feedforward (fuzzy-FF) control and the fuzzy-PID feedback contro...

This paper focusses on the application of fuzzy control techniques (fuzzy type-1 and type-2) and their hybrid forms (Hybrid adaptive fuzzy controller and fuzzy-PID controller) in the area of stabilized platforms. It represents an attempt to cover the basic principles and concepts of fuzzy control in stabilization and position control, with an outline of a number of recent applications used in a...

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...