This paper exhibited a survey investigation of tuning of Proportional Integral Derivative (PID) Controller for speed control of CSTR PLANT utilizing delicate processing strategies. CSTR PLANT engine is generally utilized as a part of businesses regardless of the possibility that its support cost is higher than the enlistment engine. Speed control of CSTR PLANT is pulled in extensive research an...

Abstract: This paper proposes a new robust two-degree-of-freedom (DoF) design method for controlling the nonlinear longitudinal speed problem of hybrid electric vehicles (HEVs). First, the uncertain parameters of the HEV model are described by fuzzy α-cut representation, in which the interval uncertainty and the possibility can be simultaneously indicated by the fuzzy membership function. For t...

REX is an industrial control system which has been developed by the authors of this paper and by several their colleagues during the last decade. Control algorithms of REX are contained in a large function block library (block set). Controller blocks, including various PID controllers, cover a significant part of the library. This paper briefly explains main ideas of REX and it focuses on descr...

Several gateway-based congestion control mechanisms have been proposed to support an end-to-end congestion control mechanism of TCP (Transmission Control Protocol). One of promising gateway-based congestion control mechanisms is a RED (Random Early Detection) gateway. Although effectiveness of the RED gateway is fully dependent on a choice of control parameters, it has not been fully investigat...

Matlab-SIMULINK based real time temperature control of oven using different kinds of auto-tuning PID (Proportional-Integral-Derivative) methods is presented in this paper. Ziegler Nichols Step Response Method (P,PI), Relay Tuning Method (P,PI) and Integral Square Time Error (ISTE) disturbance criterion (PI) method are used to control temperature of the experiment set. Controller parameters are ...

This paper presents an online tuning strategy for model predictive control. Specifically, the tuning strategy adjusts automatically the prediction horizon, P, the diagonal elements of the input weight matrix, Λ, and the diagonal elements of the output weight matrix, Γ. The control horizon is left constant because its relative value with respect to P is more important. The MPC parameters are adj...

This paper suggests an inverse optimal proportional–integral–derivative (PID) control design method to track trajectories in Lagrangian systems. The inverse optimal PID controller exists if and only if the Lagrangian system is extended disturbance input-to-state stable. First, we find the Lyapunov function and the control law that satisfy the extended disturbance input-to-state stability by usi...

This research work proposes a multi-input multi-output (MIMO) online adaptive feedback linearization NeuroFuzzy control (AFLNFC) scheme to improve the damping of low frequency oscillations (LFOs) in an AC/DC power system. Optimized NeuroFuzzy identification architecture online captures the oscillatory dynamics of the power system through wide area measurement system (WAMS)-based measured speed ...

Way of playing advancement is the out-standing design of the study of PID control and frequently research work has been guided for this aspiration. The Proportional plus Integral plus Derivative (PID), controllers are most sweepingly used in control theory as well as industrial plants owing to their ease of execution and sturdiness way of playing. The aspiration of this deed representation capa...

In direct adaptive control, the adaptation mechanism attempts to adjust a parameterized nonlinear controller to approximate an ideal controller. In the indirect case, however, we approximate parts of the plant dynamics that are used by a feedback controller to cancel the system nonlinearities. In both cases, ‘‘approximators’’ such as linear mappings, polynomials, fuzzy systems, or neural networ...