the objective in this study was to assess the performance of the control algorithms and determine the appropriate controller for aghili irrigation network. to evaluate the efficiency of the control algorithms, the performance criteria of the maximum absolute error, integral absolute error and steady state error were considered during the simulations of a one month period and with regard to the ...

This paper presents a neural network predictive controller for three phase inverter fed induction machine speed control. Thus the three phase inverter fed induction motor drive has been simulated with and without step change using NNP controller. The performance comparisons of neural network predictive controller are achieved with the help of IAE (Integral absolute error) and ITAE (Integral tim...

In this paper based on the conception of evolution, the Genetic Algorithm (GA) is applied to parameters optimization of proportional-integral-derivative (PID) controller for continuous stirred tank reactor (CSTR).The mathematical model of experimental system had been approximated near the operating point for the GA algorithm to adjust PID parameter for the minimum integral of time multiplied by...

This paper proposes a new computational scheme for approximating variable-order fractional integral operators by means of finite element scheme. This strategy is extended to approximate the solution of a class of variable-order fractional nonlinear systems with time-delay. Numerical simulations are analyzed in the perspective of the mean absolute error and experimental convergence order. To ill...

This article deals with the tuning of the parameters for automatic generation control (AGC) of three-area interconnected power system. Areas of the power system consists of reheat thermal turbines with proportional-integral (PI) regulator. Particle swarm optimization (PSO) algorithm has been applied to optimize the regulator parameters. The effectiveness of different cost functions through PSO ...

Temperature Measurement is one of the major controlling parameter in Industries like Level, Flow, Pressure etc. One of such Temperature processes is taken in this paper and Modelling of the Process has been carried out and Transfer function of the Single Input Single Output (SISO) system. For the particular temperature process controller transfer function has been determined and control paramet...

Well designed conventional PID controllers using Ziegler-Nichols method are having large overshoot and settling time. Significant research work has been carried out to improve the performance of closed loop response with PID controller so that it can be used for real time temperature control system using SCADA(HC900 Honeywell controller). Also performance of PID controller is investigated for d...

Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One of the performance objectives for controller design is to keep the error between the controlled output and the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic Algorithms), and Swarm Intelligence, i.e., PSO (Particle Swarm Optimization) and B...

This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a tim...

In this paper, a Fuzzy PI Adaptive Learning controller is proposed for a flight control system to control the angle of attack of an aircraft. The proposed controller tracks the reference angle as desired by the pilot of the aircraft. The performance indices are evaluated and the corresponding value is compared with that for the conventional controllers obtained from Zigler Nichols (ZN), Tyreus ...