To resist the bias drift of the Mach-Zehnder modulator (MZM), we proposed and demonstrated a dither-free bias control method based on the bidirectional proportion integration differentiation (Bi-pid) algorithm. We the...
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To resist the bias drift of the Mach-Zehnder modulator (MZM), we proposed and demonstrated a dither-free bias control method based on the bidirectional proportion integration differentiation (Bi-pid) algorithm. We theoretically analyzed the characteristics of time and frequency signals and made the bias point stable at the null point and quadrature point through optical power feedback and harmonic component feedback, respectively. 726.6 km transmission experiments were conducted to measure the effectiveness of the proposed modulator bias control (MBC) method. The results demonstrated that the stability of the time-sync system with the proposed MBC was better than that of the traditional method in the long-term measurement, whose time deviation (TDEV) was 2.8 x 10(-12)@10(4) s. The frequency stability characterized by Allan deviation (ADEV), reaching 3.1 x 10(-17)@10(4) s, outperformed traditional methods as well.
In this paper, a temperature control algorithm based on parameter self-tuning is designed on the basis of traditional pid parameter control. The traditional pid algorithm is improved to solve the problems of difficult...
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ISBN:
(纸本)9798350334722
In this paper, a temperature control algorithm based on parameter self-tuning is designed on the basis of traditional pid parameter control. The traditional pid algorithm is improved to solve the problems of difficult parameter adjustment, complex parameter setting and integral saturation, and to solve the problem of high precision temperature rise in the middle temperature range of various biological incubators. This work adopts pid control strategy and divides the algorithm design into several stage modules to realize multi-stage temperature control. Smith prediction is introduced to accelerate the stability, and parameter fitting schemes are designed for different types of bioincubators. The final validation results of this design are that the overshoot of various types of bioincubators is within 1 degrees C, the steady-state error is less than 0.2 degrees C, and the heating time is within 60 minutes to meet the heating requirements. This paper presents the implementation of the temperature control system of the bioincubator and the experimental verification of its related performance.
In order to solve the problem of systematic pronunciation bias caused by negative transfer effect of mother tongue in oral English teaching, this study proposed an intelligent calibration system based on ZN tuning pid...
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In order to solve the problem of systematic pronunciation bias caused by negative transfer effect of mother tongue in oral English teaching, this study proposed an intelligent calibration system based on ZN tuning pid control algorithm. By constructing multi-modal speech processing architecture, the system integrates dynamic time regulation algorithm and hidden Markov model HMM to realize phoneme boundary detection, and adopts improved pid controller to dynamically compensate pronunciation errors. Hardware design integrates high-precision voice sensing sensor and Harvard architecture digital signal processor (DSP), supporting 16bit fixed-point operation and 100MHz real-time processing capability; At the software level, Viterbi equalization algorithm and Sigmoid function calibration mechanism are introduced to effectively solve the zero-probability event problem caused by sparse corpus data. The experiment builds 13,500 speech samples based on the Spoken Arabic Digit dataset. The experimental results show that the error detection accuracy of the system is improved by 15.6%-25.8% compared with the traditional scheme, and the calibration quality score is improved by 12.3%-23.1%. The comparative study shows that the ZN tuning pid algorithm is significantly superior to the traditional pid and fuzzy pid schemes in the core indexes of comprehensive performance evaluation, overshoot and adjustment time, which verifies the innovative application value of control theory in the field of speech calibration.
Background: In automated glucose clamp experiments, blood glucose (BG) concentrations are kept close to a predefined target level using variable glucose infusion rates (GIRs) determined by implemented algorithms. Clam...
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Background: In automated glucose clamp experiments, blood glucose (BG) concentrations are kept close to a predefined target level using variable glucose infusion rates (GIRs) determined by implemented algorithms. Clamp quality (ie, the ability to keep BG close to target) highly depends on the quality of these algorithms. We developed a new Clamp algorithm based on the proportional-integral-derivative (pid) approach and compared clamp quality between this and the established Biostator (BS) algorithm. Methods: In numerical simulations, the pid-based algorithm was optimized in silico. The optimized Clamp-pid algorithm was tested in in vitro experiments and finally validated in vivo in a small (n=5) clinical study. Results: In silico, in vitro, and in vivo experiments showed better clamp quality for the new Clamp-pid algorithm compared with the BS algorithm: precision and absolute control deviation (ACD) decreased from 3.7% to 1.1% and from 2.9mg/dL to 0.6mg/dL, respectively, in the numerical simulation. The in vitro validation demonstrated reductions in precision (from 3.3%0.1% (mean +/- SD) to 1.4%+/- 0.4%) and in ACD (from 2.3mg/dL +/- 0.4mg/dL to 0.8mg/dL +/- 0.2mg/dL), respectively. In the clinical study, precision and ACD improved from 6.5%+/- 1.3% to 4.0%+/- 1.1% and from 3.6mg/dL +/- 0.9mg/dL to 2.2mg/dl +/- 0.6mg/dl, respectively. The quality parameter utility did not change. Conclusions: The new Clamp-pid algorithm improves the clamp quality parameters precision and ACD versus the BS algorithm.
In this paper,a temperature control algorithm based on parameter self-tuning is designed on the basis of traditional pid parameter *** traditional pid algorithm is improved to solve the problems of difficult parameter...
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In this paper,a temperature control algorithm based on parameter self-tuning is designed on the basis of traditional pid parameter *** traditional pid algorithm is improved to solve the problems of difficult parameter adjustment,complex parameter setting and integral saturation,and to solve the problem of high precision temperature rise in the middle temperature range of various biological *** work adopts pid control strategy and divides the algorithm design into several stage modules to realize multi-stage temperature *** prediction is introduced to accelerate the stability,and parameter fitting schemes are designed for different types of *** final validation results of this design are that the overshoot of various types of bioincubators is within 1℃,the steady-state error is less than 0.2℃,and the heating time is within 60 minutes to meet the heating *** paper presents the implementation of the temperature control system of the bioincubator and the experimental verification of its related performance.
In this paper, a metaheuristic algorithm called pid-based search algorithm (PSA) is proposed for global optimization. The algorithm is based on an incremental pid algorithm that converges the entire population to an o...
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In this paper, a metaheuristic algorithm called pid-based search algorithm (PSA) is proposed for global optimization. The algorithm is based on an incremental pid algorithm that converges the entire population to an optimal state by continuously adjusting the system deviations. PSA is mathematically modeled and implemented to achieve optimization in a wide range of search spaces. PSA is used to solve CEC2017 benchmark test functions and six constrained problems. The optimization performance of PSA is verified by comparing it with seven metaheuristics proposed in recent years. The Kruskal-Wallis, Holm and Friedman tests verified the superiority of PSA in terms of statistical significance. The results show that PSA can be better balanced exploration and exploitation with strong optimization capability. Source codes of PSA are publicly available at https://*** ***/matlabcentral/fileexchange/131534-pid-based-search-algorithm.
This research focuses on the quadrotor tiltrotor unmanned aerial vehicle and considers various usage scenarios such as battlefield and transportation environments,as well as flight stability issues in complex meteorol...
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This research focuses on the quadrotor tiltrotor unmanned aerial vehicle and considers various usage scenarios such as battlefield and transportation environments,as well as flight stability issues in complex meteorological environments.A pid control algorithm for rotor angle control of quadrotor tiltrotor unmanned aerial vehicles is designed,which is suitable for different usage scenarios and meteorological conditions.
A boundary inverse problem estimation method for heat conduction system based on a parameters adaptive pid algorithm is proposed in the *** method can solve the boundary heat flux estimation problem of onedimensional ...
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A boundary inverse problem estimation method for heat conduction system based on a parameters adaptive pid algorithm is proposed in the *** method can solve the boundary heat flux estimation problem of onedimensional heat conduction model based on the inverse heat conduction *** reduce the error between the temperatures of the measurement points and the calculation values constantly by using feedback control of pid *** parameters of pid algorithm is optimized by Whale optimization *** is enhances the rapidity and stability of the system and solves the problem that pid parameters are difficult to *** experimental results show that,the method that proposed in the paper can realize the inverse estimation of thermal boundary conditions accurately and quickly while ensuring the stability and convergence of the system.
Under the condition of partial shading, the output characteristic curve of the PV system will show a global maximum power peak(GMPP) and multiple local maximum power peaks(LMPP). Since the traditional method can only ...
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ISBN:
(纸本)9781728176871
Under the condition of partial shading, the output characteristic curve of the PV system will show a global maximum power peak(GMPP) and multiple local maximum power peaks(LMPP). Since the traditional method can only track GMPP, the traditional method will not be suitable for partial occlusion. Under the dynamic partial shadowing conditions (PSCs), using traditional methods to track dynamic GMPP will become more difficult. This paper proposes a compound control algorithm that combines improved particle swarm optimization (PSO) algorithm with pid algorithm. Based on the traditional PSO, this paper uses adaptive inertia weight to make the algorithm jump out of the LMPP and search for the GMPP quickly and accurately. Meanwhile, pid controller is used to reduce system overshoot and make the system more stable. Compared with the traditional PSO algorithm, the proposed method has better tracking effect under static and dynamic PSCs.
Based on the theory of fuzzy pid control, a brand-new and efficient automobile exhaust emission detection system is successfully developed through constant speed, constant torque and constant power control. The system...
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