Nonlinear Contour Tracking of a Voice Coil Motors-Driven Dual-Axis Positioning Stage Using Fuzzy Fractional PID Control with Variable Orders

Chen, Syuan‐Yi; Yang, Meng

doi:10.1155/2021/6697942

Cited by 5 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where e(t) is the deviation between the robot Cartesian space simulation trajectory and the expected trajectory at time t, τ n (t) is the output torque of the fuzzy PID controller acting on the nth joint at time t, and T is the total time for running the fuzzy PID controller to complete a trajectory tracking control simulation [15,16].…”

Section: Multiobjective Problem Of Fuzzy Pid Controlmentioning

confidence: 99%

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

Zhang

2022

Mobile Information Systems

View full text Add to dashboard Cite

In order to further improve the effect of fuzzy PID controller applied to joint robot trajectory tracking control, a Taekwondo trajectory tracking method based on multitarget detection algorithm is proposed in this study. Firstly, a fuzzy PID controller for trajectory tracking of joint robot is designed. Secondly, considering the two optimization objectives of controller output torque and trajectory tracking control deviation, an improved multiobjective PSO algorithm is designed to optimize the membership function and fuzzy rules of fuzzy PID controller. Finally, the multiobjective PSO algorithm and the improved multiobjective PSO algorithm are used to optimize the trajectory tracking fuzzy PID controller. The vector sets of the two optimization objectives are obtained, and the optimization results are compared and analyzed. The simulation results show that the simulation step length is t = 0.01 s, and the total simulation time is 10 s. Using the controller, the simulation values and output torque values of each joint angle at each time can be obtained, which are used to calculate the two objective function values in the optimization algorithm. According to the process, the optimization algorithm parameters are set, and the control simulation system designed above is run to complete the improved multiobjective PSO optimization of the trajectory tracking fuzzy PID controller of the joint robot. Conclusion. The improved multiobjective PSO algorithm has better nondominated solution set, which verifies the effectiveness and superiority of the algorithm to optimize the robot trajectory tracking fuzzy PID controller.

show abstract

Section: Multiobjective Problem Of Fuzzy Pid Controlmentioning

confidence: 99%

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

Zhang

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…It also affects the design budget estimate in the subsequent stage and the cost management and control in the implementation of the project. Cuckoo algorithm of project cost is a fast quotation method of project cost [1]. It is a method of applying the basic principle of fuzzy mathematics to quantitatively compare and study the similar procedures of the structural schemes of the proposed project and the built project of the same structural system, so as to quickly estimate the cost of the proposed project by using the cost data of similar built projects, as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Application of Cuckoo Search Algorithm in Cost Estimation of Building Energy Engineering

Liang-qiong

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In order to solve the problem that the construction project cost estimation is at a relatively advanced stage, many information about the project cannot be determined, and many unforeseen things affecting the project cost will occur in the process of project construction, which makes the preparation of project investment estimation very difficult. An optimized firefly algorithm is proposed. By introducing cuckoo algorithm, the initial population of fireflies is optimized, which greatly improves the quality of the initial population and speeds up the convergence of fireflies to the optimal solution; Secondly, the performance of CSFA algorithm is tested by six standard test functions; Finally, the algorithm is applied to solve the pressure vessel design problem. The effectiveness of the experiment is verified.

show abstract

“…When students make some actions, there are differences in the characteristic images in the camera of students in a series of actions. A real-time image recognition system can exactly cover the height difference in the image (Rahman, 2021; Chen and Yang, 2021; Lin, 2020). When the positioning camera successfully captures a student beyond the preset height, it will make the judgment that the student is answering questions.…”

Section: Scheme Designmentioning

confidence: 99%

Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communication

2022

LHT

View full text Add to dashboard Cite

PurposeThe digital media recording and broadcasting classroom using Internet real-time intelligent image positioning and opinion monitoring in communication teaching is researched and analyzed.Design/methodology/approachFirst, spatial grid positioning and monitoring and image intelligent recognition technologies were used to extract and analyze teaching images by mastering Internet of Things (IoT) technology and establishing an intelligent image positioning and opinion monitoring digital media recording and broadcasting system framework. Next, a positioning node algorithm was utilized to measure the image distance, and then a moving node location model under the IoT was established. In addition, a radial basis function (RBF) neural network was used to realize the signal transmission function. The experimental data of the adopted RBF based on the optimization of the adaptive cuckoo search (ACS-RBF) neural network, particle swarm algorithm neural network, and method of least squares optimization were compared and analyzed. In addition, a more efficient RBF neural network was adopted. Finally, the digital media recording and broadcasting classroom scheme of real-time intelligent image positioning and opinion monitoring was designed. In addition, the application environment of digital media actual teacher teaching was detected, and recording and broadcasting pictures were analyzed and researched.FindingsThe actual value, predicted value, and the number of predicted samples of the ACS-RBF model were all better than those of the two other neural networks. According to the analysis and comparison of the sampling optimization Monte Carlo localization (SOMCL), Monte Carlo, and genetic algorithm optimization-based Monte Carlo positioning algorithms, the SOMCL algorithm showed better robustness, and its positioning efficiency was superior to that of the two other algorithms. In addition, the SOMCL algorithm greatly reduced the positioning and monitoring energy consumption.Originality/valueThe application of real-time intelligent image positioning and monitoring technology in actual communication teaching was realized in the study.

show abstract

Nonlinear Contour Tracking of a Voice Coil Motors-Driven Dual-Axis Positioning Stage Using Fuzzy Fractional PID Control with Variable Orders

Cited by 5 publications

References 27 publications

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

Application of Cuckoo Search Algorithm in Cost Estimation of Building Energy Engineering

Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communication

Contact Info

Product

Resources

About