Most of the existing mobile platform target tracking systems have the defects of high cost, large volume and low degree of visualization. A tracking system based on image recognition for the mobile platform is designe...
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ISBN:
(纸本)9781728101057
Most of the existing mobile platform target tracking systems have the defects of high cost, large volume and low degree of visualization. A tracking system based on image recognition for the mobile platform is designed, which consist of power module, camera module, human-computer interaction module. steering machine cradle module and Cortex-M3 based control module. On the one hand, the system has strong stability. Through pid control algorithm, it can quickly and accurately identify objects of different colors and realize dynamic tracking, meeting the requirements of identifying objects of different colors. On the other hand, the system has a high degree of visualization, and the tracking laser display mode and LCD display coordinate function can directly observe the tracking of the system.
Parameter identification method is researched for the single-input and single-output systems in this paper. Based on the analysis of method of least squares, the new system identification method based on PhD control a...
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ISBN:
(纸本)9783037852958
Parameter identification method is researched for the single-input and single-output systems in this paper. Based on the analysis of method of least squares, the new system identification method based on PhD controlalgorithm is proposed. The PhD controller is established by connecting the input and output with the system error and the system parameter. And the results of the simulations state that the new identification method is feasible and effective. System identification is the most important part in modern control theory. The definition of system identification proposed by L. A. Zadeh is that, system identification is determination the system in the gained systems which equivalent to the unknown system, according to the input and output of the unknown system. Traditional identification methods include impulse response, least square and maximum likelihood [1-2]. Identification speed and identification precise are all needed in the system identification. But identification speed is incompatible with identification precision. The improvement of identification do always conduce to the increase of identification precision, it can be verified by the identification examples, which is identified by the traditional identification methods. So for higher identification precision, the identification speed is lower. Now, a lot of high precision identification methods based on neural network or genetic algorithm, is proposed [3-7]. These new identification methods can gain very high identification precision, but it needs too much time. A new system identification method based on pidcontroller is proposed in this paper. It states by simulation that the new method can improve the identification precision and speed.
Three-tank liquid level system is a more typical non-linear and delay object with strong representation and background of industry. The part or whole of many objects can be abstracted into a mathematical model of thre...
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ISBN:
(纸本)9783037853450
Three-tank liquid level system is a more typical non-linear and delay object with strong representation and background of industry. The part or whole of many objects can be abstracted into a mathematical model of three-tank liquid level system. Research on modeling and control of the system has important theoretical significance and practical value. This article describes how to use Simulink function to establish the mechanism of three-tank liquid level system model. And at the time, an improved pid control algorithm is proposed. The results show that it has more superior performance for three-tank liquid level system simulation control compared with the traditional pid control algorithm.
As pid control algorithm is by far the most important and commonly applied controlalgorithm. As a consequence, it is very important for all the engineering students to have a good understanding of it. During the stud...
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ISBN:
(纸本)9781538642986
As pid control algorithm is by far the most important and commonly applied controlalgorithm. As a consequence, it is very important for all the engineering students to have a good understanding of it. During the study of control theory, the students usually get well acquainted with continuous systems, because they know the underlying mathematics quite well. In general, the courses dealing with discrete mathematics are not so common. So many students have never heard of discrete equations. In this paper a possible approach for addressing this problem is presented. A pidcontroller is realized both as continuous and discrete system. Their performance is compared on a real example.
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.
Magnetic bearing with redundant structure can regain supporting ability by way of reconstruction under the condition of coil failure. In this paper, the influence of parameters on stiffness is studied by way of simula...
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Magnetic bearing with redundant structure can regain supporting ability by way of reconstruction under the condition of coil failure. In this paper, the influence of parameters on stiffness is studied by way of simulation and experiment using pid control algorithm, and the reconstruction strategy is proposed. The range of feasible parameters of redundant reconstruction is determined and the weight of the parameters is found out. The control parameter that makes stiffness of magnetic bearing constant is found out. The experimental results are in agreement with the simulation results in tendency, but the experimental results are less than the simulation results.
This design uses the single-chip microcomputer as the core to monitor and control the temperature of the electric heating furnace. The use of single-chip microcomputer to control them not only has the advantages of co...
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This design uses the single-chip microcomputer as the core to monitor and control the temperature of the electric heating furnace. The use of single-chip microcomputer to control them not only has the advantages of convenient control, simplicity and flexibility, but also can greatly improve the technical index of the controlled temperature, thereby greatly improving the quality and quantity of products. In order to achieve high-precision temperature control, the single-chip microcomputer system adopts the pid control algorithm to change the on and off of the electric furnace and the power supply by controlling the two-way thyristor, thereby realizing the control of the temperature by changing the heating time.
The design of motion controller for indoor robot is based on a complex combination of software,hardware and *** hardware includes single chip module,power module,motor drive module,servo module,speed detection module;...
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The design of motion controller for indoor robot is based on a complex combination of software,hardware and *** hardware includes single chip module,power module,motor drive module,servo module,speed detection module;software includes single chip initialization procedures,using the pid control algorithm to control the speed,by changing the duty ratio of PWM motor control,the use of camera for image acquisition module and other aspects,in addition,for a complete controller,mechanical improvement and innovation is the essential content.
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.
In allusion to the effect that traditional asynchronous motor pidcontrol system is vulnerable to uncertain factors of parameter variations and load disturbance, the disadvantage that system parameters can’t be adjus...
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In allusion to the effect that traditional asynchronous motor pidcontrol system is vulnerable to uncertain factors of parameter variations and load disturbance, the disadvantage that system parameters can’t be adjusted timely following the diversification of motor speed, this paper introduces a pid control algorithm based on the BP network by melting the regular pid control algorithm and the self-automatic learning neural network. Simulation results are provide to indicate that this method has the advantage of quick velocity response, less overshoot, higher control precision and good robustness, has great control effect, is much better than that of traditional pid control algorithm.
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