The paper shows Matlab based interactive tool for noise attenuation motivated filtered PD and disturbance observer based filtered PID controller performance analyses and design. The user can set several control loop parameters (plant model parameters and their uncertainty, measurement noise, controller, filter parameters) and evaluate various performance measures. The comparison with traditiona...

Modern power systems comprise a variety of generating systems, including conventional thermal stations and advanced renewable sources, one contender being wind energy conversion system (WECS). Blade pitch control is an important part the highly non-linear WECS. Many strategies have been proposed by researchers around globe. Current research work focuses on developing structure for using neuro-f...

Major advances that improve control in the process industry have been made over the last ten years in the basic PID technology of modern distributed control systems. This paper addresses the impact that international standards have on control implementation and the tools utilized in industry for monitoring and commissioning PID control. Examples are used to illustrate how new technologies, such...

Industry applications mainly use linear PID algorithms might deliver an insufficient performance dealing with nonlinear operating systems. A fuzzy PID controller results in a nonlinear control surface which can be adjusted to a controlled plant by rule based modification, nonlinear membership function application and inference rule selection. The tuning process is one of the most difficult step...

Hybrid electric vehicle (HEV) is getting more attention recently because it has no emission of toxic gases which leads to global warming. Now a days, Particle swarm Optimization Gravity Search Algorithm (PSOGSA) is widely used for optimization, because of its faster convergence rate to the optimal minimum value than other optimization techniques. The main aim of this paper is to control the spe...

The internal model control (IMC) scheme has been widely applied in the field of process control. So far, IMC has been mainly applied to linear processes. This paper discusses the extension of the IMC scheme to nonlinear processes based on local linear models where the properties of linear design procedures can be exploited. The IMC scheme results in controllers that are comparable to gain-sched...

Directing at the problem of torsional vibration occurred in the start-up procedures of long shaft drive transmission existed in printing equipment, we raised a variable structure control method based on Variable parameters fuzzy. The method not only displays feature of traditional non-linear variable structure control like nondeference derivation, planning the dynamic process and good capacity ...

This paper studies benefits of using simplified regime-switching adaptive control strategies in improving performance of insulin control for Type I diabetic patients. Typical dynamic models of glucose levels in diabetic patients are nonlinear. Using a linear time invariant controller based on an operating condition is a common method to simplify control design. On the other hand, adaptive contr...

3 Corresponding Author Robust PID Control in Chemical Process Industries Rakesh Joshi, Kostas Tsakalis, J. Ward MacArthur, Sachi Dash Abstract Robust control design has been increasingly used in industrial settings by leading automation companies. The design procedure has evolved in the last decades and fairly automated procedures exist now for use by practicing engineers or even operators. One...