scholarly journals Performance Assessment of Cascade Control System with Non-Gaussian Disturbance Based on Minimum Entropy

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 379 ◽  
Author(s):  
Qian Zhang ◽  
Ya-Gang Wang ◽  
Fei-Fei Lee ◽  
Wei Zhang ◽  
Qiu Chen
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Chemical Engineering ◽  
Control Strategies ◽  
Thermal Power ◽  
Cascade Control ◽  
Effective Control ◽  
Minimum Entropy ◽  
Non Gaussian ◽  
Cascade Control System

Due to the fact that cascade control can improve the single-loop’s performance well and reduce the integral error from disturbance response, it has been one of the most important control strategies in industrial production, especially in thermal power plant and chemical engineering. However, most of the existing research is based on the Gaussian system and other few studies on the non-Gaussian cascade disturbance system also have obvious defects. In this paper, an effective control loop performance assessment (CPA) of cascade control system for many non-Gaussian distributions even the unknown mixture disturbance noise has been proposed. Compared to the minimum variance control (MVC) approach, the minimum entropy control (MEC) method can obtain a more accurate estimate. In this method, like MVC, the primary loop output and secondary loop output can be represented as invariant and dependent terms, then adopted estimated distribution algorithm (EDA) is used to achieve the system model and disturbances. In order to show the effectiveness of MEC, some simulation examples based on different perturbations are given.

scholarly journals Performance Assessment of Non-Gaussian Control Systems Based on Mixture Correntropy

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1069
Author(s):  
Jinfang Zhang ◽  
Di Wu
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Control Systems ◽  
Real Time ◽  
Translation Invariance ◽  
Identification Algorithm ◽  
Minimum Entropy ◽  
Area Index ◽  
The Real ◽  
Non Gaussian

The performance assessment of any control system plays a key role in industrial control systems. To meet the real-time requirements of modern control systems, a quick and accurate evaluation of the performance of a system is necessary. In this paper, a performance assessment method of a non-Gaussian control system based on mixture correntropy is proposed for non-Gaussian stochastic systems. Mixture correntropy can solve the problem of minimum entropy translation invariance. When the expected output of a system is unavailable, mixture correntropy combined with the estimation of distribution algorithm (EDA) is used for system identification and noise distribution estimation so as to calculate the benchmark of entropy-based performance assessment. When the expected output of a system is available, the mixture correntropy is directly used as the index to evaluate the performance of the system. To improve the real-time aspect of the performance assessment, an improved EDA is presented to obtain the evaluation index more quickly. For both Gaussian and non-Gaussian systems, the mixture correntropy and the improved identification algorithm are used for system performance assessment, and the results are compared with the minimum entropy index and the probability density function (PDF) curve coincident area index. The comparisons verify the rationality and effectiveness of the correntropy index and the rapidity of the improved EDA algorithm.

scholarly journals Improved Renyi Entropy Benchmark for Performance Assessment of Common Cascade Control System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 6796-6803 ◽  
Author(s):  
Qian Zhang ◽  
Ya-Gang Wang ◽  
Feifei Lee ◽  
Qiu Chen ◽  
Zhen Sun
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Cascade Control ◽  
Renyi Entropy ◽  
Rényi Entropy ◽  
Cascade Control System

Adaptive PID Cascade Control for Superheated Steam Temperature Based on Inverse Model

2011 ◽  
Vol 133 (11) ◽  
Author(s):  
Zhijie Wang ◽  
Guangjun Wang ◽  
Hong Chen
Keyword(s):  
Control System ◽  
Power Plant ◽  
Superheated Steam ◽  
Thermal Power ◽  
Control Process ◽  
Inverse Model ◽  
Cascade Control ◽  
Steam Temperature ◽  
Superheated Steam Temperature ◽  
Cascade Control System

Since the superheated steam temperature system of boiler in thermal power plant is characterized as time varying and nonlinear, it is hard to achieve a satisfactory performance by the conventional proportional-integral-derivative (PID) cascade control scheme. This paper presents a design method of adaptive PID cascade control system for superheated steam temperature based on inverse model: First, the inner loop and the outer process in the cascade control system are equivalent to a generalized plant. A simplified Takagi–Sugeno (STS) fuzzy model is adopted to identify the inverse model of the generalized plant. By choosing the appropriate structure and optimizing with constrains for the parameters of the inverse model, the organic combination of the PID primary controller with the inverse model is realized. To maintain the structure of the existing conventional PID cascade control system in power plant without change, in the control process, the parameters of the primary controller are adjusted on-line according to the identification result of the inverse model of the generalized plant; thus an adaptive PID cascade control system is formed, which matches with the characteristics of the controlled plant. Through the simulation experiments of controlling superheated steam temperature, it is illustrated that the proposed scheme has good adaptability and anti-interference ability.

The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System

2013 ◽  
Vol 846-847 ◽  
pp. 321-324 ◽  
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Cascade Control System ◽  
Self Adaptive

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.

Fuzzy Fractional Order PID Based Parallel Cascade Control System

2014 ◽  
pp. 293-302 ◽  
Author(s):  
Rangaswamy Karthikeyan ◽  
Sreekanth Pasam ◽  
Sandu Sudheer ◽  
Vallabhaneni Teja ◽  
Shikha Tripathi
Keyword(s):  
Control System ◽  
Fractional Order ◽  
Cascade Control ◽  
Fractional Order Pid ◽  
Cascade Control System

A parallel and cascade control system: magnetofection of miR125b for synergistic tumor-association macrophage polarization regulation and tumor cell suppression in breast cancer treatment

Nanoscale ◽  
2020 ◽  
Vol 12 (44) ◽  
pp. 22615-22627
Author(s):  
Ao Hu ◽  
Xiaobing Chen ◽  
Qunjie Bi ◽  
Yang Xiang ◽  
Rongrong Jin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Control System ◽  
Tumor Cell ◽  
Cancer Treatment ◽  
Macrophage Polarization ◽  
Breast Cancer Treatment ◽  
Cascade Control ◽  
Cell Suppression ◽  
Tumor Association ◽  
Cascade Control System

A parallel and cascade controllable magnetofection system for synergistic tumor-association macrophage repolarization and tumor cell suppression in breast cancer treatment.

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