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...

INTRODUCTION-The very purpose of the study was to investigate “Effect Chakra Meditation on Anxiety Among Working Females (NON-SEDENTARY).” HYPOTHESIS- It is hypothesized that there will be no difference in level anxiety among Females. OBJECTIVE- To assess compare control group and experimental METHODOLOGY- Total 20 subjects were taken for from Hazira Gwalior district data collected using Hamilton Rating Scale (HAM-A) then ‘ANOVA’ test applied by SPSS finding out effect Level significance set...

In this paper, the Cuckoo search algorithm is used to find optimal tuning parameters for I-PD and PI-PD controllers. A comparative study between controllers performed, in which both controller performance has been compared by Integral Square Error Settling time. Three simulation examples of DC motor speed control are considered demonstrate superior as presence load disturbance.

This article proposes a new method for design of Proportional-Integral-Derivative controller-based Power System Stabilizer (PID-PSS) damping low-frequency oscillations. The PID-PSS controller is optimized by minimizing the weighted sum Integral Absolute Error (IAE) and Time (ITAE) with help Cuckoo Search Optimization (CSO) technique damp out Low-Frequency Oscillation (LFO) in connected power system. Heffron-Philips model Single Machine Infinite Bus (SMIB) system used to controller....

There are different maximum power point tracking techniques present in the literature, they vary according to number of sensors required, speed convergence, cost, effectiveness techniques, easy hardware implementation and other respects. In this paper comparison two well-known conventional "perturb observe" "incremental conductance" is done for environment condition. A DC-DC boost converter also used interfacing load photovoltaic module. Result simulated MATLAB/Simulink environment, all...

The response-based design approach is a straightforward method for proportional–integral–derivative (PID) controller tuning. In this method, an open-loop process response used to tune the PID fixed robustness. article, new tuning rules are proposed with adjustable robustness and response. Instead of three variables, allows user adjust single variable [Formula: see text]. range constant text] provided ensuring stability process. Three MATLAB/SIMULINK examples one temperature experiment...

In this paper, a new method for PID controller design using sigmoidal weighted error function has been proposed. The main advantage of sigmoid is that it penalises the in three regions, i.e., during dead time, transient time and steady state error. Whereas, other time-weighted performance indices (IAE, ITAE, ISE ITSE) do not focus explicitly on region. Moreover, These index no control over sensitivity process. process can be controlled by proper selection function's parameter. Proposed...

Abstract In this article, the tuning rules of fractional order PID controller are derived using Indirect Design Approach‐1. Approach‐1, plant is shifted in frequency domain shifting parameter ψ . The stochastically optimized controllers exist literature for fixed values maximum sensitivity. Maximum Sensitivity or robustness process application dependent. Due to complex mathematics, design complex. Therefore, new optimal FOPID proposed version plant. adjustable achieved by varying variable...

This research work develops a discrete time method for identification as well modelling of stable unknown process dynamics in the form first order plus dead (FOPDT) models. A linear three layered Feed-foreword Artificial Neural Network (ANN) is used to yield relationship between input and output data from plant. Thereafter, this terms ANN weights represented mathematical equations plant characteristics be identified. Some literature examples are test compare proposed on MATLAB platform.

Introduction: Limited information is available on developmental morphology of human fetal caecum.Embryologically, the caecal swelling appears as a small conical dilation caudal limb primitive intestinal loop and it last part gut to return in abdominal cavity.During rotation located right upper quadrant below lobe liver.From here descends into iliac fossa.The present study aims locate position shape caecum at different gestational ages fetuses.Material methods: Thirty eight fetuses (n=38)...

In this paper, tuning of fractional PI <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">λ</sup> controller using maximum sensitivity and stability criteria is proposed for First Order Plus Dead Time processes that assure robustness the process. Maximum Sensitivity employed robust control process variations model uncertainty. The improves set point tracking. effectiveness verified by an example.

Input-output pairing effectively minimizes the loop interaction in MIMO processes and avoids integral instability. In this article, a modified Relative Normalized Gain Array is proposed for Input-Output Pairing design of First-order Second-order Equivalent Transfer function. The (mRNGA) matrix derived by Normalizing with normalization factor, which calculated minimizing Integral Square Error given process. After that, first order second function mRNGA matrix, offers an improved estimation...

The square-of-error functions, such as Integral Square Error (ISE) and Time (ITSE), are mostly used objective functions for controller design. In this paper, a new Tan Hyperbolic function weighted performance index is proposed optimal PID gives better design with improved robustness level than the Error. method validated help of two MATLAB Simulation examples Genetic Algorithm.

The coupling among the loops is a primary challenge in MIMO processes over SISO processes. In this work, new Relative Derivative Normalised Gain Array (RDNGA) proposed that be derived from error and its derivatives. Proposed method helps input-output paring gives improved controller design than existing RNGA based uses only Integral to calculate normalisation factor. validated by PI for two FOPDT-TITO process matrix equivalent transfer function approach, it shown RDNGA better ISE design.