The proportional-integral-derivative (PID) controller is a widely used in automation industries. Several advanced PID tuning/design methods, such as response-based design, internal model control, and optimization by stochastic algorithms, have been proposed the literature. However, regardless of advantages accuracy developed tuning due to process modeling error parametric uncertainties, experimental response always differs from theoretical response, which required online fine-tuning...

The internal model controller‐proportional–integral–derivative (IMC‐PID) is one of the simplest based proportional–integral–derivative (PID) design methods available in literature. In IMC‐PID design, three variable PID problem converted into single with help process and an controller (IMC) filter. IMC filter used to control robustness transient performance. filter, however, introduces additional phase lag process, due which stability compromised maintain response. this study, a new indirect...

In this work, the exponential weighted square‐of‐error functions are exploited for controller design. It is reported that weight in objective function related to maximum sensitivity of process. Therefore, it possible control process without measuring frequency response. Moreover, existing integral‐square‐error‐ and integral‐time‐square‐error‐based proportional‐integral‐derivative (PID) tuning rule modified with proposed allow user further tune The theory corroborated help a gain optimisation...

In this brief, indirect design estimation of fractional order systems is proposed. approach, plant shifted in the frequency domain and equivalent modeled by employing binomial approximation. The obtained used for controller. While designing controllers, robustness handling sensitivity to parametric variations are key importance. Therefore, approach used, which gives flexibility adjust maximum according system requirements eliminates need external IMC filter. filter added externally results...

In this paper, a method for the identification and control of stable unstable processes is proposed. Firstly, second-order plus delay time process model identified using an ideal relay in feedforward path then, proportional integral–proportional derivative (PI-PD) controller designed based on model. The PD that stabilizes PI cuckoo optimization algorithm. effectiveness proposed illustrated verified by simulation experimental results.

Abstract The proportional integral derivative (PID) controller has been widely adopted in different applications because of its easy implementation compared to other existing control techniques. In most the cases, PID controller’s tuning focussed on three main parameters: gain <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mfenced close=")" open="(" separators=""> <mml:mrow> <mml:msub> <mml:mi>K</mml:mi> </mml:mrow> <mml:mi>P</mml:mi> </mml:msub>...

In this study, an improved multi-band satellite contrast enhancement technique based on the singular value decomposition (SVD) and discrete cosine transform (DCT) has been proposed for feature extraction of low-contrast images using normalised difference vegetation index (NDVI) technique. The method employs multi-spectral remote sensing data to find spectral signature different objects such as land cover classification presented in image. converts image into SVD–DCT domain after normalising...

This paper presents a new approach for stable tracking of non-holonomic wheeled mobile robot using PID controller. The major objective the is to propose control rule find out reasonable target linear and rotational velocities robot. method requires information about position (Cartesian space orientation) which can be obtained by any kind positioning system. In approach, robot, including actuator dynamics identified model recursive least square method. then used design controller set...

Effective working of brain computer interface largely depends upon mental state and vigilance level human brain. Electroencephalogram signal undergoes for unpredictable changes when alters widely sometimes cause wrong interpretation by during operation. Hence, needs to investigate subject's alertness frequently avoid false command generation. In present work, an approach feature extraction from electroencephalogram signals using continuous wavelet transform is proposed validated...

In this paper, Modified Firefly Algorithm has been used for optimizing the controller parameters of Smith predictor structure. The proposed algorithm modifies position formula standard in order to achieve faster convergence rate. Performance criteria Integral Square Error (ISE) is optimized using optimization technique. Simulation results show high performance as compared conventional terms Integrating and unstable delay processes are taken examples indicate method.

Adaptive controllers with closed loop reference models have guaranteed transient performance due to the additional design freedom available in them. However, robustness presence of both matched perturbations and time delay is not guaranteed, which a necessary requirement for most safety‐critical systems, such as, aerospace applications. This study attempts achieve steady state improved input by incorporating proportional–integral (PI) compensator feedback model adaptive control (MRAC)...

This paper presents an S-transform-based Electroencephalogram channel optimization and feature extraction methodology for monitoring mental vigilance level of humans. Vigilance detection consists four steps. In the first stage, two types signals (alert drowsy) are acquired from 30 healthy subjects decomposed into sub-bands using S-transform. second permutation entropy S-transform coefficients is calculated performed. statistical features computed optimized channels, in third stage. fourth...

In this work, a new method is proposed to identify systems in the form of first and second-order continuous time-delayed (CTD) models where time-delay rational parameters are estimated simultaneously. The time delay explicitly brought into system by discretizing CTD models. sampled input-output data from used an iterative prediction error minimization (PEM) algorithm discrete-time delayed (DTD) model which equivalent extracted. DTD includes fractional integer part time-delay, phase...

Abstract This article proposed an online identification technique, also known as a real‐time recursive technique for continuous time‐delay systems. The approach is based on output‐error modeling of unknown models, indirectly from discrete models. developed indirect formulation employed to propose three algorithms using least square, instrument variable, and prediction error minimization techniques. utilize auxiliary models fixed or optimal filtering input/output data samples obtain unbiased...

In this paper, a Simplified Particle Swarm Optimization (SPSO) with Proportional-Integral Proportional-Derivative (PI-PD) controller is proposed for unstable processes. SPSO used to determine the global best and local position within search space. Complete space divided into small sub-search spaces. each subspace, calculate minima take minimum of all i.e. complete This process done by random velocity estimated parameter. For stabilizing model over conventional PID controller, PD placed in...

Trajectory tracking and stabilization of a nonlinear single stage inverted pendulum is complicated control problem, as nonlinearity present inherently external factors affect the equilibrium position. Sliding mode (SMC) robust technique, most popular for system's controlling. In this paper, new model based law, called PID (Proportional-Integral-Derivative) sliding designed using modified particle swarm intelligent optimization (MPSO) second order plant. This paper throws light on surface...