This paper presents a new intelligent control scheme which utilizes particle swarm optimization (PSO) for off-line tuning of proportionalintegral-derivative (PID) controller for the twin rotor multi-input multioutput system (TRMS). The control objective is to make the beam of the TRMS move quickly and accurately to the desired attitudes. The TRMS exhibits MIMO characteristics, high order non-li...

This paper presents the system identification by physical’s law method and designs the controller for the Azimuth Angle Control of the Platform of the Multi-Launcher Rocket System (MLRS) by Root Locus technique. The plant mathematical model was approximated using MATLAB for simulation and analyze the system. The controller proposes the implementation of PID Controller using Programmable Logic C...

The design problem of a static output feedback controller and multivariable proportional-integral-derivative (PID) controller is investigated for linear time-invariant systems (LTI). First, the static output feedback stabilization problem is taken into consideration and then an iterative linear matrix inequality (ILMI) algorithm is developed for the synthesis of the controller. Second, choosing...

Continuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical process and all industrial process requires a solution of specific chemical strength of chemicals considered for analysis. In this paper, Particle Swarm Optimization (PSO) algorithm based PID controller tuning is attempted for the concentration control of Continuous Stirred tank reactor (CSTR). The Modeling can be ...

In this paper, H disturbance attenuation control and sliding mode disturbance estimation and compensation control of a magnetic levitation system are studied. A magnetic levitation apparatus is established, and its model is measured. Then the system model is feedback linearized. A H controller is then designed. For comparison, a sliding mode controller and a PID controller also were designed. S...

The design of controllers for nonlinear systems in industry is a complex and difficult task. One approach which has shown promise for solving nonlinear control problems is the use of fuzzy logic control. This paper proposes a new method utilizing proportional–integral-derivative (PID) control as a hybrid fuzzy PID controller for nonlinear system. The salient feature of the proposed approach is ...

The paper evaluates the performance of cascaded PID controller designs for the temperature control of an industrial heating furnace. From the control theory literature it is clear that ideal PID controller is an obsolete for the control of non-linear processes like temperature. PID controller in cascaded architecture is the best choice compared to conventional single loop control system for con...

Distillation is an essential separation process in the chemical and petrochemical industry. The distillation process is a highly nonlinear, complex, interactive and non -stationary, therefore its control is difficult. In the present work an adaptive neuro-fuzzy controller is designed to control a binary distillation process. A conventional PID controller is also designed for comparison purpose....

This paper describes the benchmark proposed for the IFAC Conference on Advances in PID Controllers (PID’12) at the end of july 2011. It is expected that this benchmark allows researchers to test their recent developments in the design of PID controllers. Two approaches to the boiling process were provided; the first ready to test a multivariable PID controller and the second ready to test PID c...

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.