The control parameters optimization of the servosystem in parallel robots, which is the basis of the control system design of the robot, is very important. In this paper, the parameters optimization of the servosystem...
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The control parameters optimization of the servosystem in parallel robots, which is the basis of the control system design of the robot, is very important. In this paper, the parameters optimization of the servosystem based on the genetic algorithm method is introduced. In the servosystem of parallel robots, a three-closed-loop pidcontrol method is usually used. So the control parameters of the speed control loop and position control loop of the servosystem have great influence on the performance of the motor. To meet the requirement of the control system, a three-closed-loop pidcontrol structure of the servosystem is designed according to the hardware system of the AC servo. With the time-domain performance and dynamic characteristic as the optimization targets, the control parameters of the speed control loop and position control loop are optimized. Comparing with the tuning result optimized by the traditional Ziegler-Nichols tuning laws, the results obtained by the GA method show better performance in the computer simulation of a parallel robot. Therefore, the GA method which is used in the optimization of the control parameters of the servosystem, has the advantages of simple calculation, fast tuning speed, good optimization result, and so on.
The weak recycling method, known as the "rescaling-recycling" method, has been extended to simulate microscale turbulent atmospheric boundary layers (ABL) by employing staggered blocks in the developing sect...
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The weak recycling method, known as the "rescaling-recycling" method, has been extended to simulate microscale turbulent atmospheric boundary layers (ABL) by employing staggered blocks in the developing section, replicating physical ABL wind tunnel setups. However, this method faces challenges, such as the need to reevaluate the sizes and configurations of roughness elements when addressing different objective structures, computational domain sizes, or ground exposures. To address these issues, we propose a controllable weak recycling (CWR) method for generating turbulent ABL flows over rough surfaces in large eddy simulation (LES). This method can directly produce a turbulent boundary layer with arbitrary target characteristics in a single simulation, significantly enhancing generation efficiency and reducing computational resource consumption. Our refinement method incorporates a feedback proportional controlalgorithm into the "rescaling" procedure to minimize errors between simulated and targeted turbulence intensities. Besides, an existing drag model is utilized in the near-ground region to maintain horizontal homogeneous ABL flows over rough surfaces. The proposed CWR method is validated by simulating three turbulent ABL flows over various rough terrains using LES. Results confirm that the generated inflow turbulence adheres to prescribed mean velocities and turbulence intensities, demonstrating consistent self-sustainability along the flow direction. Furthermore, the generated wind spectra closely align with the anisotropic von-Karman spectrum. When applying the extracted wind time histories at the main domain's inlet, we find that the mean and fluctuating wind pressures on a high-rise building closely match specified wind tunnel test results.
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.
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%.
For the rapid test verification of aero-engine control and gas path fault diagnosis algorithm, the rapid prototyping hardware in the loop test verification method of the aircraft engine function algorithm module was d...
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For the rapid test verification of aero-engine control and gas path fault diagnosis algorithm, the rapid prototyping hardware in the loop test verification method of the aircraft engine function algorithm module was designed, which based on the virtual instrument language and rapid *** and its extension boards were utilized to build the rapid prototyping test verification platform for aircraft engine function algorithm, the controlalgorithm and the gas path fault diagnosis algorithm was deployed to the hardware in the loop whichbased on rapid prototyping, for the simulation of the algorithm on the ***, as an example of a turbofan engine pid control algorithm and gas path fault diagnosis algorithm, hardware in loop simulation test verification was carried through the rapid prototyping of platform. The results show that the rapid prototyping platform and its design method can realize the algorithm verification fast and flexible.
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.
In order to facilitate the teaching of industrial processes and experiments on the twin-screw extruder control debugging,and be closer to the actual testing,to reduce the debugging costs and the risk of debugging proc...
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In order to facilitate the teaching of industrial processes and experiments on the twin-screw extruder control debugging,and be closer to the actual testing,to reduce the debugging costs and the risk of debugging process,the paper designs a hardware-in-loop simulation of twin-screw extruder experiment system which is closer to scene,low cost and high *** system through the establishment of twin-screw extruder’s mathematical model on computer to simulate the realistic system and there is hardware practicality in the computer simulation *** hardware based on C8051F020 can operate in the simulation loop in real *** computer software design, we desigh man-machine interface that is intuitive and easy to operate,can reflect twin-screw extruder main operation information ***,twin-screw extruder’s 3 heater temperature mathematical model and pid incremental controlalgorithm are presented.
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.
The intelligent fruit assisted picking mechanical device,which is composed of a mechanical claw,a mechanical arm,a rotatable base,a visual control system and a motion control *** vision processing system uses the came...
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The intelligent fruit assisted picking mechanical device,which is composed of a mechanical claw,a mechanical arm,a rotatable base,a visual control system and a motion control *** vision processing system uses the camera to obtain the position information of the fruit and estimate the ripeness of the fruit according to the image *** collected information is transmitted to the STM32 F103 controller,and then control the precise action of the actuator by an algorithm combining expert rules and pid,implement the use of sickle-type mechanical claw automatically pick ripe *** picking device is reasonable in design,has high intelligence,and has important promotion value for picking different fruits.
This paper proposes the pitch-controlled electro-hydraulic servo system of a variable-speed wind *** experimental control system consists of Industrial Computer,PC12006 data acquisition card, SVA-Ⅱ servo amplifier,QD...
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This paper proposes the pitch-controlled electro-hydraulic servo system of a variable-speed wind *** experimental control system consists of Industrial Computer,PC12006 data acquisition card, SVA-Ⅱ servo amplifier,QDY type Electro-Hydraulic servo valve,hydraulic cylinder,GA-150 type high-precision displacement transducer and *** this system,the computer compares the signal from the feedback displacement transducer with an input demand to determine the position error,and produces a command signal to drive the flow control servo valve. The control valve adjusts the flow of pressurized oil to move the actuator until the desired position is attained. Secondly,with the electro-hydraulic servo testing equipment,a pid control algorithm is programmed with Lab VIEW in the Industrial *** real time displacement curve of actuator is displayed in the computer,Experimental results show that the pid control algorithm is obviously effective and the high-precision of position control has gotten. Loading the link mechanism,the angle of wind turbine blades is adjusted and the aerodynamic power output of wind turbine can maintain stable.
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