It is commonly believed that for SISO systems, well tuned PID controllers work as well as model-based controllers and that PID controllers are more robust to model errors. In this paper we present a novel offset-free constrained LQ controller for SISO systems, which is implemented in an efficient way so that the total controller execution time is similar to that of a PID. The proposed controlle...

In this paper an algorithm of PID controller based on model predictive control is designed for a shell and tube heat exchanger. PID controllers and model predictive controls are two control algorithm mostly used these types of process applications. The three parameters of PID controller must be tuned to the process to obtain a satisfactory closed loop process performance. The model of the heat ...

Nonlinear PID design is difficult if one approaches the problem from a global design perspective. In this paper, we propose coalescing the adaptive local linear modeling approach with traditional linear PID controller design techniques to arrive at a principled, intuitive, and simple nonlinear PID controller design methodology. The paper, in particular, discusses two local linear modeling appro...

This paper explains a method for the design and implementation of digital controller based on Field Programmable Gate Array (FPGA) device. It is more compact, power efficient and provides high speed capabilities as compared to software based PID controllers. The proposed method is based on implementation of Digital controller as digital filters using DSP architectures. The PID controller is des...

This paper presents a review study of PID and fuzzy logic controller for level control of the tank. PID controller is widely used in industries for level control and non-linear system but tuning of PID controller is difficult and it use a mathematical model of the system which is also difficult to find for highly nonlinear system. Fuzzy logic controller use linguistic method to control the syst...

In this paper the design methodology of parallel distributed fuzzy PID control is presented. The idea is to design a control law for each rule of the fuzzy controller and blend them together. The proposed parallel distributed fuzzy control algorithm is developed as a natural similarity to the conventional PID controller. This paper describes the structure and the design aspects of a fuzzy PID c...

This paper presents the practical implementation of an active force control (AFC) strategy to a laboratory scaled vibration isolator platform. The research was carried out to investigate the performance of vibration suppression capability of feedback controller using AFC. Two types of controller schemes were examined and compared involving the classic proportionalintegral-derivative (PID) contr...

In this paper, an adaptive PID sliding mode controller is proposed for the position control of electro-hydrostatic actuator(EHA) systems with system uncertainties and saturation in the motor. An EHA prototype is developed and system modeling and parameter identification are executed. Then, adaptive PID sliding mode controller and optimal anti-windup PID controller are designed and the performan...

Optimization of PID controller parameters has been a hot issue in the fields of Automatic control. In the automatic control process, the controlled object has nonlinear and uncertainty characteristics. Traditional PID parameters methods are often time-consuming and difficult to obtain control effect, causing the control accuracy not high. In order to solve the optimization problem of PID contro...

Because simulation turntable servo system is highly nonlinear and uncertainty plants, a fuzzy neural network PID controller is proposed based on the Radial Basis Function (RBF). Up to now, various kinds of nonlinear PID controllers have been designed in order to satisfactorily control this system and some of them applied in actual systems with different degrees. Given this background, the step ...