This paper presents a novel adaptive fuzzy controller approach of brushless DC motors (BLDCM) without hall sensors. The fuzzy controller adopts fuzzy logic to retune the PID parameters online. Based on the mathematical model of BLDCM introduced, a novel adaptive fuzzy control strategies have been designed in MATLAB/SIMULINK. The results have been recorded under various operating conditions. The...

In this paper the design of a nonlinear feedback controller is analyzed for concentration control of continuous stirred tank reactors (CSTR) which have strong nonlinearities. 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. Here Particle Swar...

The proportional-integral-derivative (PID) controller is the most popular controller used in almost all process industries till date. Earlier it was first implemented in pneumatic devices but now its use is extended to analog as well as digital electronics. The presence of time delay in the system affects the stability and performance of the system. In this paper an IMC-PID controller is design...

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

Abstract: Continuous Stirred Tank Reactor (CSTR) is an important subject in chemical process and offering a diverse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper gives the demonstration about the temperature control of CSTR reactor using a fuzzy PID controller to meet the desire...

In this paper, an artificial-based optimizes and analysis of an optimal proportional, integral, derivative (PID) controller is introduced for a hydro-turbine generator governor. The main purpose, optimization PID controller parameters of hydro-turbine connected to the network for damping output frequency oscillation. In The proposed approach, an optimal and evolutionary based proportional, inte...

This paper presents an application of the intelligent search technique for the parameters optimization of conventional automatic generation control (AGC) systems. An efficient intelligent search technique, which is Adaptive Tabu Search (ATS), is employed to demonstrate the effectiveness of the intelligent search techniques in the tuning of the AGC parameters. A two-area non-reheat thermal syste...

Proportional Integral Derivative (PID) controller is the most preferable controller in industries that does not require precise analytical model of the system to be controlled. Implementation of PID controllers has gone through several stages of evolution from the early mechanical and pneumatic designs to the microprocessor based systems. Recently “Field Programmable Gate Array” has become an a...

This paper presents the development of an optimal PID controller for vibration control of flexible manipulator structures using particle swarm optimization (PSO) for tuning the PID parameters. The flexible manipulator system is first modeled using finite difference (FD) approach and identification using global search of PSO. The control structure comprises conventional PID controller and an int...

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...