The accuracy of the Ziegler-Nichols tuning formula is reviewed in context PID and PI autotuning. For autotuning, it will be shown that, for excessive overshoot set-point response, weighting can reduce to specified values, original retained. It also that superior conventional solution reducing large by gain detuning or filtering. However, undershoot, have modified. inadequate has completely revised. application modification based simply on knowledge normalised dead-time process. These...

The performance and robustness of well-known PID formulas for process with deadtime to time constant ratio between 0.1 1 are discussed in this paper. Ziegler-Nichols, Cohen-Coon, tuning that optimize load disturbance response (integral absolute error, integral squared time-weighted error) give gain margins about 1.5. phase increase from 30 60/spl deg/ as the increases 1. Tuning setpoint two 65/spl deg/. These mostly make use proportional-integral derivative (PID) controller zeros cancel...

In this paper, a new memetic algorithm (MA) for multiobjective (MO) optimization is proposed, which combines the global search ability of particle swarm with synchronous local heuristic directed fine-tuning. A updating strategy proposed based upon concept fuzzy global-best to deal problem premature convergence and diversity maintenance within swarm. The features are examined show their individual combined effects in MO optimization. comparative study shows effectiveness MA, produces solution...

The performance and robustness of well-known proportional-integral formulas are discussed. Tuning that optimize load disturbance response have gain phase margins smaller than those for setpoint response. mostly make use the PI controller zero to cancel process pole. They typically a margin three 60 degrees. Ziegler-Nichols tuning formula gives varies greatly. Hence its greatly too. Approximate analytical compute also derived in this paper facilitate online computation which could be...

PID control is widely used to stable processes, however, for unstable processes less common. In the paper, simple formulas are derived tune controller meet gain and phase margin specifications. The stability of closed-loop system ensured by Nyquist criterion. These first- second-order with time delay. Simulation results given show accuracy performance that can be achieved.

In this paper, we proposed to evaluate the optimal phasor measurement unit (PMU) placement based on sum of variance (SV) robust estimators. Variance is traditionally used as a measure quality estimates. after satisfying requirements minimum number PMUs, maximum redundancy, and observability, placements obtained are further distinguished basis estimated states. Both weighted least squares (WLS) estimators considered. Examples IEEE 30-bus system using absolute value (LAV) estimation given. The...

Wearable Artificial Intelligence-of-Things (AIoT) requires edge devices to be resource and energy-efficient. In this paper, we design implement an efficient binary convolutional neural network (bCNN) algorithm utilizing function-merging block-reuse techniques classify between Ventricular non-Ventricular Ectopic Beat images. We deploy our model into a low-resource low-power field programmable gate array (FPGA) fabric. Our achieves classification accuracy of 97.3%, sensitivity 91.3%,...

Unsupervised domain adaptation (UDA) is a machine learning approach designed to minimize reliance on labeled data by aligning features between source and an unlabeled target domain, thereby reducing feature discrepancies, which efficient for multivariate time series (MTS) prediction. However, most MTS UDA methods focus solely intra-series temporal features, overlooking the valuable information in inter-series dependencies. Research has highlighted that analyzing decomposed frequency...

The idea of pole-region assignment is extended to interval gain and phase margin assignment. internal model control proportional-integral-derivative (IMC-PID) design examined from the frequency domain point view. Equations for typical specifications such as margin, bandwidth are derived IMC-PID design. margins monitored in real time a self-tuning controller with proposed. An implementation example laboratory also given.

The effectiveness of the proportional-integral-derivative (PID) controller for plants with under-damped step response is not well understood. In practice, one may have to tune PID manually through trial and error such a plant. this paper, gain phase margin tuning formula derived control second-order plus dead time plant response. A self-tuning incorporating has been implemented tested on pilot which consists hinged rectangular plate whose angular deflection from vertical controlled by an air...

Agile chemical plants operate in a number of states including steady and frequently switch between them. Different control configurations or controller parameters may be used for the process different states. The obvious need efficient automatic identification using large historical data sets, lieu manual annotation by an engineer, provides motivation this work. Traditional clustering methods are computationally expensive normally perform poorly on temporal signals. A two-step method based...

An analytical method of tuning multiloop proportional−integral−derivative controllers based on gain and phase margin specifications is presented in this paper. The proposed design can tune the on-line real-time to meet specified system robustness performance. be easily combined with existing process identification techniques implement self-tuning controllers.

Integer linear programming (ILP) has been widely applied to solve the optimal phasor measurement unit (PMU) placement (OPP) problem for its computational efficiency. Using ILP, a with minimum number of Phasor Measurement Units (PMUs) and maximum redundancy can be obtained while ensuring system observability. Author response: please delete this above sentence. However, existing ILP-based OPP methods does not guarantee full coverage solutions optimization problem, which may sequentially...

The prediction of the Remaining Useful Lifetime (RUL) machines and tools is crucial in realm modern manufacturing framework Industry 4.0. Recent deep learning techniques offer an opportunity for utilization data-driven methods RUL prediction. However, persistent data scarcity issue presents a thorny bottleneck machinery tasks due to high cost labeled training collection. In this paper, we propose effective consisting two novel methodological modules improve efficiency. first module leverage...

Nuisance alarms often clutter and obscure a process plant operator's view of critical information, with potentially severe consequences. The intelligent alarm management system (IAMS) suppresses nuisance provides valuable advisory information to help the operator focus quickly on important take correct, quick actions. Test results show that IAMS effectively alarms, making systems more helpful.