This paper illustrates the benefits of a self-tuning PID strategy applied to a proton exchange membrane fuel cell system. Controller parameters are updated on-line, at each sampling time, based on an instantaneous linearization of an artificial neural network model of the process and a General Minimum Variance control law. The self-tuning PID scheme allows managing nonlinear behaviors of the sy...

PID controller has been extensively used in industries since 1940s and still the most often implemented controller today. The PID controller can be found in many application areas: petroleum processing, steam generation, polymer processing, chemical industries, robotics, unmanned aerial vehicles (UAVs) and many more. The algorithm of PID controller is a simple, single equation relating proporti...

This paper addresses the three-axis stabilization of a satellite system in the presence of the gravity gradient and orbital eccentricity. Multivariable non-linear dynamics of the satellite system are converted into three well-known non-linear canonical independent models with unknown parameters. The new model is efficient and practical for designers to implement and analyze different control me...

a novel technique is investigated for pid controller adaptation in order to control thetemperature of a liquid-phase reactor tank by using a heat exchanger system. as for nonlinearity,time delay problems and model uncertainties introduced by the heat exchanger, an interval type-2fuzzy system (it2fs) is implemented to enhance and improve the total control performance.moreover, the fuzzy inferenc...

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...

The purpose of this paper showed an appraisal study on movement control of The DC engine drive through PID (relative, essential, subsidiary) controller and using Optimization Techniques and canny developments strategies. In a matter of second’s days, DC motor is widely used as a piece of business endeavors as a result of its broad assortment of speed control still if its bolster cost is higher ...

This paper covers practical study of responses of the systems which are under control. The auto tune proportional-integral – derivative (PID) controller is used for controlling of systems. The auto tune algorithm is implemented using the successive approximation method. The auto tuner has been checked with various plant models in MATLAB environment that causes only minor perturbation on the nor...

In any processes industry, process variables that need to be controlled are temperature, level, pressure and flow. This paper deals with an application of genetic algorithm to find the PID controller values to control the liquid level in the cylindrical tank. A process is identified as first order plus dead time model (FOPTD) and is validated. The intension of this paper is to obtain a minimum ...

A new method for PID controller tuning based on Bode’s integrals is proposed. It is shown that the derivatives of amplitude and phase of a plant model with respect to frequency can be approximated by Bode’s integrals without any model of the plant. This information can be used to design a PID controller for slope adjustment of the Nyquist diagram and improve the closed-loop performance. Besides...

The aim of this research is to design a PID Controller using particle swarm optimization (PSO) algorithm for multiple-input multiple output (MIMO) Takagi-Sugeno fuzzy model. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics approach such as PSO are employed to enhance the capability of tradition...