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Optimal Performance Analysis for Networked System with Quantitative Control Input Over Feedback Channel
Networked control systems (NCS) have become an emerging and important research area given the rapidly developing network communication technology. Numerous studies in this area concentrate on the stability of control systems, while little has been done on its performance analysis, especially the index of an optimal control system. We fill this gap here by analysing the optimal tracking performance for an NCS that has quantitative control inputs over feedback channels. We design a dual‐degree‐of‐freedom controller along with an optimal control system, by applying the Youla parameterization method based on the time domain and coprime decompositions. The proposed methodology is assessed by numerical simulations. The system's tracking performance is found to be deteriorated by the unstable poles and non‐minimum phase zeros of the controlled object, as well as by quantization signal errors. These findings are beneficial for analysing and designing practical control systems. This paper focuses on the performance analysis of networked control systems, specifically addressing the optimal tracking performance with quantitative control inputs over feedback channels. A dual‐degree‐of‐freedom controller is designed using the Youla parameterization method, and the system's performance is assessed through numerical simulations. The findings highlight the impact of unstable poles, non‐minimum phase zeros, and quantization errors on tracking performance, offering insights for practical control system design.
Journal Article
Control systems engineering
Once again Nise provides readers with an up-to-date resource for analysing and designing real-world feedback control systems. Throughout the sixth edition, emphasis is placed on the practical application of control systems engineering.
Book
Modified fast discrete‐time PID formulas for obtaining double precision accuracy
Proportional integral derivative (PID) controllers are widely used across various industries. This paper presents a new modified PID controller based on integer origin raw data, which are equivalent to classic PID controller based on floating‐point actual values. These new formulas presented in new PID controller provide a mathematical approach to the ‘Classic PID Formula’, ‘Subtractor Formula’ and ‘Scaling Formula’, which form the basis of classic PID controller. The approach integrates these three formulas and separates them into integer and real value by applying the properties of associativity and commutativity. This method uses origin raw data as input to perform integer‐based computation and performs floating‐point operations once. This resulted in faster computation time and energy savings, while showing accuracy comparable to the existing double precision formulas. This paper presents a new modified proportional‐integral‐derivative (PID) controller based on integer origin raw data, which are equivalent to classic PID controller based on floating‐point actual values. This method uses origin raw data as input to perform integer‐based computation and performs floating‐point operations once. This resulted in faster computation time and energy savings, while showing accuracy comparable to the existing double precision formulas.
Journal Article
Springer handbook of robotics
The second edition of this handbook provides a state-of-the-art overview on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains.
eBook
How to select the electronic target for robot trajectory tracking Lyapunov‐based controllers: Comparative study and experimental results
The proper sizing of the electronic target to implement complex controllers is barely tackled at engineering schools. An incorrect selection leads, at best, to inefficient use of resources and unnecessarily high costs. In this work, the criteria to implement the electronic Lyapunov‐based controller for non‐linear trajectory tracking of a P3‐DX robot is focused on. After comparing pros and cons of the four alternatives, test results are shown with two of them: NUC8i5INH microcomputer and STM32F767 single chip board. In this work, the criteria to implement the electronic Lyapunov‐based controller for non‐linear trajectory tracking of a P3‐DX robot is focused on. Incorrect sizing of the electronic target leads, at best, to inefficient use of resources and unnecessarily high costs.
Journal Article
Juran's quality essentials : for leaders
\"Dr. Juran's life work on quality--boiled down to a concise guide to creating a strong, successful, globally competitive enterprise Dr. Joseph Juran was a true visionary in the field of quality, and his words continue to inspire. One of his main mantras was \"Take care of the quality, and the rest will take care of itself.\" This work is devoted to just that--taking care of the quality. In it, the Juran Institute team presents the leadership values, beliefs, and actions of top companies, and identifies the strategies that have resulted in measurable success. Juran's Quality Essentials offers succinct, field-tested methods applicable to any industry, from service to manufacturing, and includes realistic timetables of implementation. This unique resource describes three universal quality management methods: 1. designing innovative products and services; 2. creating breakthroughs in current performance; and 3. assuring repeatable and compliant processes. Reveals how to align quality goals and methods to a company's strategic plan Provides a transformation model and roadmap Demonstrates how executive leadership is the key to a company's quality revolution--and how to make quality happen. Filled with insider tips for staying adaptable and using a benchmark to sustain performance Shows how to apply planning, control, and improvement to quality leadership for competitive advantage \"-- Provided by publisher.
Book
Robust adaptive H-infinity based controller for islanded microgrid supplying non-linear and unbalanced loads
This study introduces a proposed control method for microgrids (MGs) in islanded (off-grid) mode. The proposed control method is developed by modifying the droop control method using H-infinity controller. In this control method, the droop control loop, current and voltage control loops are adjusted to respond to system load variation. The proposed method is an adaptive control one as it regulates the system voltage and frequency to their nominal values after system load variations. Also, it is a repetitive control method as it depends on the internal model principle that provides good performance for voltage and current error tracking. To prove the applicability and effectiveness of the proposed method, it is applied to a test system using MATLAB/Simulink under three different loading conditions. The results are compared with those of droop control and they prove the effectiveness of the proposed method in adjusting MGs under the off-grid mode of operation. Also, a system stability analysis is performed based on root locus and system step response. Robustness analysis is performed to prove the ability of the proposed controller to restore the system performance after the fault clearance.
Journal Article