In this paper a PID controller is designed and it’s implemented on Field Programmable Gate Array (FPGA) by two method: in first method PID controller is designed in time domain and in second method PID is designed in frequency domain (Z domain) and final two method compare together. The filter that designed in time domain is more accurate than other method.

The Proportional-Integral-Derivative Controller is widely used in industries for process control applications. Fractional-order PID controllers are known to outperform their integer-order counterparts. In this paper, we propose a new technique of fractional-order PID controller synthesis based on peak overshoot and rise-time specifications. Our approach is to construct an objective function, th...

We ®rst present a novel general-purpose nonlinear PID controller realized via fuzzy PID control that uses our newly-introduced simpli®ed Takagi±Sugeno (TS) rule scheme. Analytical structure of the fuzzy PID controller is derived and its structure is analyzed in relation to the linear PID controller. The unique features of the fuzzy controller are as follows. First, the proportional, integral an...

In this paper, Self Tuning Fuzzy PID controller is developed to improve the performance of the electro-hydraulic actuator. The controller is designed based on the mathematical model of the system which is estimated by using System Identification technique. The model is performed in linear discrete model to obtain a discrete transfer function for the system. Model estimation procedures are done ...

The aim of this paper is to employ fractional order proportional integral derivative (FO-PID) controller and integer order PID controller to control the position of the levitated object in a magnetic levitation system (MLS), which is inherently nonlinear and unstable system. The proposal is to deploy discrete optimal pole-zero approximation method for realization of digital fractional order con...

Parallel robots exhibit good performance in terms of rigidity, accuracy, and dynamic characteristics. However, parallel robots have complex configurations and their dynamic model is highly nonlinear, and conventional PID controllers are not sufficiently robust for their motion control. In this paper, we have investigated the intelligent control of a hydraulically driven parallel robot based on ...

In this paper, a novel method for designing PID controller is proposed. It uses Iterative Learning Control (ILC) for producing an optimum control signal for the plant and then by using a regression method (Least Squared Error), adjusts PID coefficients so that it acts like the ILC. Then PID is implemented on the plant. This method is simulated on automatic voltage regulating system and results ...

This paper presents genetic algorithms (GAs) to perform the optimal design of an auto-tuning fuzzy proportional-integral-derivative (PID) controller and to determine the minimal number of fuzzy rules simultaneously. Different from PID controllers with fixed gains, the fuzzy PID controller is expressed in terms of fuzzy rules, in which the input variables are the error signals and their derivati...

In this paper, design of centralized PID controller using Covariance Matrix Adaptation Evolution Strategy (CMAES) is presented. Binary distillation column plant described by Wood and Berry (WB) having two inputs and two outputs and by Ogunnike and Ray (OR) having three inputs and three outputs are considered for the design of multivariable PID controller. Optimal centralized PID controller is d...

The paper describes the Fuzzy–PID cascade controller to control the level of horizontal tank that has diameter 300 mm and 480 mm long. Interface card module PCI-6024E in computer and Lab View software program is used for built the cascade controller. Structure of its where the inner loop is a PID controller for regulating flow rate of system and outer loop is a Fuzzy logic controller for contro...