This paper proposes an adaptive proportional integral-derivative (PID) speed control scheme for permanent magnet synchronous motor (PMSM) drives. The proposed controller consists of three control terms: a decoupling term, a PID term, and a supervisory term. The first control term is employed to compensate for the nonlinear factors, the second term is made to automatically adjust the control gai...

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 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...

A simple tuning strategy for PID controller design will be proposed in this paper. With the use of single neural estimator (SNE), three control gains of PID controller are not fixed during the control procedure, but will be adjusted on-line such that better output response can be achieved. In this control strategy the exact model of plant will not need to be known and identified. Lastly, two si...

Recently, many algorithms used to make tuning for PID controller parameters for different applications. PID Controller gives us control of both transient and steady state response, and decreases the characteristics elements such as overshoot, steady state error, settling time, and rising time, and makes the system stable and robust. But the problem is how to choose the PID parameters to achieve...

In this paper, parameters of PID controller and bias coefficient for Load Frequency Control (LFC) are designed using a new approach. In the proposed method, the power system uncertainties and nonlinear limitations of governors and turbines ,i.e. Valve Speed Limit (VSL)and Generation Rate Constraint (GRC), are taken into account in designing. Variations of uncertain parameters are considered bet...

In the paper, a new multivariable self-tuning PID controller design scheme is proposed which has a static matrix precompensator to reduce the interaction terms of the process transfer function matrix adjusted by an online estimator. The p £ p precompensated multivariate system is then controlled via ‘p’ univariate self-tuning PID controllers whose parameters are adjusted by a second identifier ...

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...

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...

For SISO (single-input-single-output) models typically used in the process plants, the Internal Model Control (IMC) is shown to supersede the conventional PID controllers and also it becomes much easier to tune than are controllers in a standard feedback control structure. The conventional PID controllers are used in the process plants to a large extent due to their simple structure and its imp...