The quadrotor vehicle control system possesses characteristics such as nonlinearity and strong coupling. This paper presents a design for a quadcopter unmanned aerial vehicle (UAV) flight control system. Firstly, the ...
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An intelligent music playback control system, which can select the appropriate music to play according to the facial expression recognition result, is designed. The hardware system consists of PYNQ_Z2 development boar...
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ISBN:
(纸本)9781728176796
An intelligent music playback control system, which can select the appropriate music to play according to the facial expression recognition result, is designed. The hardware system consists of PYNQ_Z2 development board , camera, HDMI display and audio. The software system performs face detection on the core chip of ARM + FPGA through Haar feature and Adaboost algorithm, and realizes expression recognition through LDA and K nearest neighbor algorithm. The expression recognition results are sub-classified by confidence, and the pid control algorithm is used to adjust the confidence to improve the robustness of the system during uneven illumination. The system has low delay, strong robustness and rich human-computer interaction, and has a wide range of application scenarios.
In the practice of control the industrial processes, proportional-integral-derivative controller remains pivotal due to its simple structure and system performance-oriented tuning process. In this paper are presented ...
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In the practice of control the industrial processes, proportional-integral-derivative controller remains pivotal due to its simple structure and system performance-oriented tuning process. In this paper are presented two approaches for synthesis the proportional-integral-derivative controller to the models of objects with inertia, that offer the procedure of system performance optimization based on maximum stability degree criterion. The proposed algorithms of system performance optimization were elaborated for model of objects with inertia second and third order and offer simple analytical expressions for tuning the pidcontroller. Validation and verification are conducted through computer simulations using MATLAB, demonstrating successful performance optimization and showcasing the effectiveness pidcontrollers’ tuning. The proposed approaches contribute insights to the field of control, offering a pathway for optimizing the performance of second and third-order inertial systems through robust controller synthesis.
作者：
Cen, JiwenJiang, FangmingChinese Acad Sci
Guangzhou Inst Energy Convers Lab Adv Energy Syst CAS Key Lab Renewable EnergyGuangdong Key Lab Ne Guangzhou Peoples R China
Efficient and effective thermal management of Li-ion battery pack for electric vehicle application is vital for the safety and extended-life of this energy storage system. In this paper, the thermal management system ...
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Efficient and effective thermal management of Li-ion battery pack for electric vehicle application is vital for the safety and extended-life of this energy storage system. In this paper, the thermal management system of a battery module is presented as an integral part of the electric vehicle air conditioning system. The refrigerant is bifurcated from the main system through a pipe and expansion valve and guided to the battery module compartment consisting of 64 18650-type Li-ion battery arranged in the form of 8 x 8 array. Several experimental strategies such as expansion valve throttle level, thermostat sensitivity and proportional-integral-derivative (pid) controlalgorithm are investigated. The results indicate that a larger openness of the throttling valve avoids superheating of the refrigerant and maintains the maximum temperature difference in the battery module around 2 degrees C. Additionally, thermostat sensitivity and pid control algorithm is found to be able to offer effective thermal management for an electric vehicle battery pack. (c) 2020 International Energy Initiative. Published by Elsevier Inc. All rights reserved.
In view of the problems of large overshoot and large oscillation frequency in current furnace temperature control, based on the development of intelligent control theory, expert control, fuzzy control, and neural netw...
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In view of the problems of large overshoot and large oscillation frequency in current furnace temperature control, based on the development of intelligent control theory, expert control, fuzzy control, and neural network control in intelligent control theory are combined with proportional integral derivative (pid) control. The intelligent pid control algorithm is used to carry out numerical simulation and experimental research on these several controlalgorithms. The results show that the adjustment effect of the intelligent pid control algorithm is significantly better than the traditional pid control algorithm. Among them, the fuzzy self-tuning pid control algorithm and the fuzzy immune pid control algorithm are feasible in the application of furnace temperature control. The neural network pid control algorithm It also has good development and application potential.
In order to improve the stability and efficiency of RGV system, a low-power consumption RGV control system based on Kea microprocessor is designed in this paper. The system realizes the real-time control of the runnin...
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ISBN:
(纸本)9781450386494
In order to improve the stability and efficiency of RGV system, a low-power consumption RGV control system based on Kea microprocessor is designed in this paper. The system realizes the real-time control of the running state of RGV through pid control algorithm and uses RFID identification unit and main coil magnetic detection to realize the detection and control of RGV operation state. SM4 encryption algorithm is used to encrypt the data. Single chip microcontroller collects the real-time operation status information of RGV nodes through LoRa communication network and communicate with the upper computer. The upper computer receives the real-time status information of each RGV node in real time, classifies and stores the data of all RGV nodes for controlling the moving path of RGV conveniently on the track. The system has the characteristics of good real-time performance, low power consumption and high security. It can meet the needs of industrial production.
The nonlinear system is difficult to achieve the desired effect by using traditional proportional integral derivative (pid) or linear controller. First, this study presents an improved lazy learning algorithm based on...
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The nonlinear system is difficult to achieve the desired effect by using traditional proportional integral derivative (pid) or linear controller. First, this study presents an improved lazy learning algorithm based on k-vector nearest neighbors, which not only considers the matching of input and output data, but also considers the consistency of the model. Based on the optimization index of an additional penalty function, the optimal solution of the lazy learning is obtained by the iterative least-square method. Second, based on the improved lazy learning, an adaptive pid control algorithm is proposed. Finally, the control effect under the condition of complete data and incomplete data is compared by simulation experiment.
Under the social situation of carbon emission reduction, various new photovoltaic energy storage devices spew out. However, at present, there are many researches on the algorithm of photovoltaic energy storage devices...
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Under the social situation of carbon emission reduction, various new photovoltaic energy storage devices spew out. However, at present, there are many researches on the algorithm of photovoltaic energy storage devices in the market, and less research on the test platform. Therefore, a Photovoltaic energy storage system test platform based on STM32 is designed, the purpose is to provide an open test platform for the Photovoltaic energy storage system algorithm. The system takes STM32F407VGT6 as the main controller, and the hardware of the system is consisted of bidirectional DC-DC, auxiliary electrical power source, battery pack, drive circuit and sampling circuit. In addition, the software takes P&O method (Perturbation and Observation Method) and pid (Proportion Integral Differential) controlalgorithm to achieve the system's maximum power point tracking and voltage stable output, which can realize the comprehensive utilization of the UPS battery. The experiment results show that the effect of the maximum power tracking is great, the value of the output voltage is stable, and the efficiency of the UPS system can reach 98.1%.
This work presents a new design to dynamically adapt the proportional, the integral and the derivative (pid) controllers gains using three interval type-1 non-singleton type-2 fuzzy logic systems (IT2 NSFLS-1), one fu...
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This work presents a new design to dynamically adapt the proportional, the integral and the derivative (pid) controllers gains using three interval type-1 non-singleton type-2 fuzzy logic systems (IT2 NSFLS-1), one fuzzy system for each gain of the pid, being the first main contribution of this proposal. This assembly is named as hybrid IT2 NSFLS-1 pid. Each IT2 NSFLS-1 system requires two non-singleton input values each period of discrete time (k), (1) the error e(k) and its standard deviation sigma e(k), and (2) the change of error Delta e(k) and its standard deviation sigma Delta e(k), to calculate the corresponding adjustment Delta KP(k), Delta KI(k), and Delta KD(k) for the pidcontrollers gains K-p(k), K-i(k), and K-d(k). The second main contribution of this proposal is that the parameters of each IT2 NSFLS-1 system are tuned each period of discrete time (k) by the non-singleton backpropagation (BP) algorithm using the plant output error and its standard deviation, which are processed as non-singleton values together with its non-singleton partial derivatives with respect to each IT2 fuzzy system parameter. Then these updated gains are used by the pidcontroller to calculate the best control signal for the plant under control. The uncertainty and the mean value of the measurement are used to calculate the non-singleton error which is processed as (a) input and (b) as gradient vector by each of the three IT2 NSFLS-1 systems. Simulation results show that the proposed hybrid assembly presents the better performance than the next five benchmarking control systems (a) the classic Zeigler-Nichols pidcontroller, and (b) four hybrid assemblies using pidcontroller and fuzzy systems with fixed fuzzy rule bases (T1 SFLS, T1 NSFLS, IT2 SFLS, IT2 NSFLS-1). The proposed assembly produces the better performance in a shortest period of time and it maintains a stable behavior on the output of the second-order plant model subject to variations and noise.
Aiming at the defect detection operation of the welding seam of the large‐scale LPG spherical tank in service. In order to improve the automatic detection level of defect detection and further enhance the autonomy in...
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Aiming at the defect detection operation of the welding seam of the large‐scale LPG spherical tank in service. In order to improve the automatic detection level of defect detection and further enhance the autonomy in the welding seam detection process, an automatic scanner for welding seam defect detection based on machine vision has been developed. First, the hardware of the system was built, including the mechanical frame, X and Z axis timing belt sliding table, industrial CMOS camera, light source and phased array detection device. Secondly, the Vision Master image processing software is used to obtain digital images and process them to obtain the distance between the center line of the weld and the front edge of the probe. Finally, the automatic control system of the scanner is designed using pidcontrol method, which realizes the self‐adaptive tracking of the probe.
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