scholarly journals Electromagnetic Actuator System Using Witty Control System

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 65
Author(s):  
Der-Fa Chen ◽  
Shen-Pao-Chi Chiu ◽  
An-Bang Cheng ◽  
Jung-Chu Ting
Keyword(s):  
Control System ◽  
Control Method ◽  
Search Algorithm ◽  
Electromagnetic Actuator ◽  
Control Performance ◽  
Learning Capability ◽  
Learning Rates ◽  
Agricultural Applications ◽  
Actuator System ◽  
Rice Milling

Electromagnetic actuator systems composed of an induction servo motor (ISM) drive system and a rice milling machine system have widely been used in agricultural applications. In order to achieve a finer control performance, a witty control system using a revised recurrent Jacobi polynomial neural network (RRJPNN) control and two remunerated controls with an altered bat search algorithm (ABSA) method is proposed to control electromagnetic actuator systems. The witty control system with finer learning capability can fulfill the RRJPNN control, which involves an attunement law, two remunerated controls, which have two evaluation laws, and a dominator control. Based on the Lyapunov stability principle, the attunement law in the RRJPNN control and two evaluation laws in the two remunerated controls are derived. Moreover, the ABSA method can acquire the adjustable learning rates to quicken convergence of weights. Finally, the proposed control method exhibits a finer control performance that is confirmed by experimental results.

Combination of Neural Networks and State Vector Feedback Adaptive Control (SVFAC) Technique to Control the Gas Turbine Combustor

2006 ◽  
Author(s):  
Mahmood Lahroodi ◽  
A. A. Mozafari
Keyword(s):  
Neural Networks ◽  
Adaptive Control ◽  
Control System ◽  
Gas Turbine ◽  
Control Method ◽  
Control Performance ◽  
Gas Turbine Combustor ◽  
Model Network ◽  
Neural Network Controller ◽  
Nonlinear Plants

Neural networks have been applied very successfully in the identification and control of dynamic systems. When designing a control system to ensure the safe and automatic operation of the gas turbine combustor, it is necessary to be able to predict temperature and pressure levels and outlet flow rate throughout the gas turbine combustor to use them for selection of control parameters. This paper describes a nonlinear SVFAC controller scheme for gas turbine combustor. In order to achieve the satisfied control performance, we have to consider the affection of nonlinear factors contained in controller. The neural network controller learns to produce the input selected by the optimization process. The controller is adaptively trained to force the plant output to track a reference output. Proposed Adaptive control system configuration uses two neural networks: a controller network and a model network. The model network is used to predict the effect of controller changes on plant output, which allows the updating of controller parameters. This paper presents the new adaptive SFVC controller using neural networks with compensation for nonlinear plants. The control performance of designed controller is compared with inverse control method and results have shown that the proposed method has good performance for nonlinear plants such as gas turbine combustor.

scholarly journals Decoupling Adaptive Smith Prediction Model of Flatness Closed-Loop Control and Its Application

Processes ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 895
Author(s):  
Mingming Song ◽  
Hongmin Liu ◽  
Yanghuan Xu ◽  
Dongcheng Wang ◽  
Yangyang Huang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Time Delay ◽  
Control Method ◽  
Delay System ◽  
Control Performance ◽  
Time Delay System ◽  
Single Loop ◽  
Flatness Control ◽  
Pure Time Delay

Flatness control system is characterized by multi-parameters, strong coupling, pure time delay, which complicate the establishment of an accurate mathematical model. Therefore, a control scheme that combines dynamic decoupling, PI (Proportion and Integral) control and adaptive Smith predictive compensation is proposed. To this end, a dynamic matrix is used to decouple the control system. A multivariable coupled pure time-delay system is transformed into several independent generalized single-loop pure time-delay systems. Then, a PI-adaptive Smith predictive controller is constructed for the decoupled generalized single-loop pure time-delay system. Simulations show that the scheme has a simple and feasible structure, and good control performance. When the mathematical model of the control system is inaccurate, the control performance of adaptive Smith control method is evidently better than that of the ordinary Smith control method. The model is successfully applied to the cold rolling production site through LabVIEW, and the control accuracy is within 5I. This study reveals a new solution to the problem of coupled pure time-delay in flatness control system.

CVT Ratio Adjusting Process Control

2010 ◽  
Vol 139-141 ◽  
pp. 1929-1932
Author(s):  
Cheng Wang ◽  
Bing Yi Li
Keyword(s):  
Control System ◽  
Process Control ◽  
Pid Control ◽  
Control Method ◽  
Parameter Tuning ◽  
Experimental Results ◽  
Control Performance ◽  
Test Bed ◽  
The Real

Aiming at the shortcoming of the integral accumulation in the process of CVT ratio adjusting control, which is caused by the general PID control method, a new ratio adjusting control system based on the shift integral PID control method was designed. The theory of CVT ratio adjusting process and the enhanced control method were analized. The enhanced PID parameter tuning principle was presented. The test-bed of CVT ratio adjusting control was devised and adopted to do the CVT ratio tracing experiments. The experiments of step ratio from 0.45 to 1.45 and from 1.7 to 0.7 were made. The experimental results proved that the new ratio adjusting control system and the enhanced PID parameter tuning principle were valid, which made the real ratio trace the object ratio rapidly and steadily. The control performance of CVT ratio adjusting was improved.

scholarly journals Dynamic Performance Assessment of Primary Frequency Modulation for a Power Control System Based on MATLAB

Processes ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 11 ◽  
Author(s):  
Shizhe Li ◽  
Yinsong Wang
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Internal Model ◽  
Control Method ◽  
Dynamic Performance ◽  
Dynamic Control ◽  
Pi Control ◽  
Control Performance ◽  
Assessment Index ◽  
Primary Frequency

The primary frequency modulation (PFM) performance of a power control system (PCS) is an important factor affecting the security and stability of a power grid. The traditional control method is proportional integral (PI) control. In order to improve its dynamic control performance, a control method based on the combination of internal model control (IMC) and PI is proposed. Using the method of theoretical assessment and system identification, a simple simulated model of the typical PCS is established. According to the principle of system identification and the least square estimation (LSE) algorithm, the mathematical models of a generator and a built-in model are established. According to the four dynamic performance indexes, the main and auxiliary assessment index of the PCS are defined, and the benchmark and the result of the performance assessment are given. According to three different structures, the PFM dynamic performance of the PCS is analyzed separately. According to the dynamic performance assessment index of PFM, the structure of the control system and the influence of different parameters on the performance of the PCS are analyzed under ideal conditions. The appropriate control structure and controller parameters are determined. Secondly, under the non-ideal condition, the influence of the actual valve flow coefficient on the performance of the control system is studied under two different valve control modes. The simulation results show that the internal model combined with PI has better dynamic control performance and stronger robustness than the traditional PI control, and it also has better application prospects for thermal power plants.

An adaptive tracking control method for the all-wheel-driving and active-steering articulated vehicle with n-units

2021 ◽  
pp. 095440702110506
Author(s):  
Dehua Zhang ◽  
Caijin Yang ◽  
Weihua Zhang ◽  
Yao Cheng
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Tracking Control ◽  
Control Method ◽  
Small Data ◽  
Control Performance ◽  
Adaptive Tracking Control ◽  
Adaptive Tracking ◽  
Target Trajectory ◽  
Active Steering

To achieve the running control of the all-wheel-driving and active-steering articulated vehicles (AWDASAVs) with n-units, an adaptive tracking control method is proposed in this paper, which includes a real-time target trajectory generation and an adaptive tracking control system. Firstly, the AWDASAV kinematics model is derived, and then the front-axle trace as the target trajectory is computed for all rear-axle steering by using data compressing and filtering, coordinate transformation, and local spline differences, which has small data storage and high computational efficiency and makes it easier to use in AWDASAV. Secondly, an adaptive tracking control system composed of an adaptive active steering controller and a differential distribution controller is designed to achieve accurate trajectory tracking and coordinated movement for AWDASAV. Finally, the AWDASAV simulation model with five-units was built in ADAMS by code development for cross-validation simulation, and the simulations with two cases at various speeds are carried out to verify the simulation model and control method. To further investigate the proposed method, the influence of three parameters on the tracking control performance and comparison with different control methods are carried out. The results exhibit excellent tracking control performance.

Continuous sliding mode control for the translational oscillator with a rotating actuator system

2022 ◽  
pp. 014233122110691
Author(s):  
Liqiang Wang ◽  
Xianqing Wu ◽  
Meizhen Lei
Keyword(s):  
Sliding Mode Control ◽  
Disturbance Rejection ◽  
Control Method ◽  
Sliding Mode ◽  
Control Performance ◽  
Mode Control ◽  
Stabilization Control ◽  
Control Scheme ◽  
Sliding Manifold ◽  
Actuator System

The stabilization and disturbance rejection of the translational oscillator with a rotating actuator (TORA) are considered in this paper. To deal with the control issues, a novel continuous sliding mode control method is designed for the TORA system. Compared with existing sliding mode control methods for the TORA system, the proposed method here is continuous. Specifically, first, a global diffeomorphism is introduced for the model of the TORA system. Then, an elaborate sliding manifold is constructed, and a continuous sliding mode control scheme is developed to ensure the convergence of the sliding manifold. Furthermore, rigorous theoretical analysis is given. Finally, simulation tests are carried out, and the obtained simulation results demonstrate that the proposed method exhibits superior stabilization control performance and strong robustness.

scholarly journals Integrated Guidance and Control Based Air-to-Air Autonomous Attack Occupation of UCAV

2016 ◽  
Vol 2016 ◽  
pp. 1-18
Author(s):  
Chang Luo ◽  
Jie Wang ◽  
Hanqiao Huang ◽  
Pengfei Wang
Keyword(s):  
Control System ◽  
Dynamic Models ◽  
Control Method ◽  
Sliding Mode ◽  
Search Algorithm ◽  
Pattern Search ◽  
Adaptive Sliding Mode Control ◽  
Guidance And Control ◽  
Integrated Guidance And Control ◽  
And Control

An approach of air-to-air autonomous attack occupation for Unmanned Combat Aerial Vehicles (UCAVs) is proposed to improve attack precision and combat effectiveness. According to the shortage of UCAV in the task of attack occupation, kinematic and dynamic models of UCAV and missile loaded on it are formed. Then, attack zone and no-escape zone are calculated by pattern search algorithm, and the optimum attack position is indicated. To arrive at the optimum attack position accurately with restriction of gesture, a novel adaptive sliding mode control method is suggested to design the integrated guidance and control system of UCAV in the process of autonomous attack occupation. Key parameters of the control system are adaptively regulated, which further economize control energy at the same time. The simulation results show that compared with traditional methods our approach can guide the UCAV to the optimum attack position with stable gesture and economize nearly 25% control energy.

scholarly journals Design of high precision mechatronic-hydraulic leveling system for vehicle-mounted radar

2021 ◽  
Vol 2113 (1) ◽  
pp. 012041
Author(s):  
Jun Xiao ◽  
YanChao Wang ◽  
XiangYu Li ◽  
Jie Zheng
Keyword(s):  
Control System ◽  
High Precision ◽  
Control Method ◽  
Good Control ◽  
Vehicle Body ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
Short Time ◽  
Leveling Control ◽  
The Mathematical Model

Abstract In order to improve the control performance of vehicle-mounted radar, a high precision leveling control system is designed through mechatronic-hydraulic integration technology. A leveling method combining angle error leveling method and height error leveling method is designed, and inclinometers are set in the front and rear of the vehicle body platform to effectively eliminate the virtual outrigger phenomenon in the leveling process. The mathematical model of hydraulic system is developed, the fuzzy PID control method is introduced, and the four-point support hydraulic leveling control system is developed by using STM32 microcontroller as the control core. The field test proves that the control system has good control performance, high leveling accuracy, short time, and meets the control requirements of the radar vehicle.

Design and Experimental Evaluation of a Performance-Driven PID Controller

2016 ◽  
Vol 28 (5) ◽  
pp. 616-624 ◽  
Author(s):  
Toru Yamamoto ◽  
◽  
Takuya Kinoshita ◽  
Yoshihiro Ohnishi ◽  
Sirish L. Shah ◽  
...  
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Control Method ◽  
Control Unit ◽  
Minimum Variance ◽  
Control Law ◽  
Control Performance ◽  
Temperature Control Unit ◽  
Control Performance Assessment ◽  
A Performance

[abstFig src='/00280005/01.jpg' width='300' text='Outline of the performance-driven PID control system' ] This study proposes a performance-driven control method that performs a “control performance assessment” and a “control system design” from a set of closed-loop data. The method assesses control performance based on the minimum variance control law from closed-loop data. It also calculates a control parameter that improves the control performance from the same closed-loop data by using the fictitious reference iterative tuning (FRIT) method. This method is characterized by not requiring any system model. The effectiveness of this method is verified through a numerical simulation and an application result to a temperature control unit.

Modeling and Simulating of PMSM Space Vector PWM Drive System Based on Fuzzy Immune PI Control Method

2014 ◽  
Vol 551 ◽  
pp. 494-502
Author(s):  
Nan Jiang ◽  
Jian Wen Fan ◽  
Guang Xing Tan
Keyword(s):  
Control System ◽  
Vector Control ◽  
Abrupt Change ◽  
Control Method ◽  
Nonlinear Function ◽  
Pi Controller ◽  
Torque Control ◽  
Control Performance ◽  
Space Vector ◽  
Vector Control System

In order to improve the speed control performance of the PMSM(Permanent magnet synchronous motor) vector control system. Utilizing the mathematical model of the PMSM in the dq0 coordinates, and the basic principles of the SVPWM (Space Vector Pulse Width Modulation) control method, a simulation model of the PMSM Space Vector Control System, which contains the double loop of speed and current, has been constructed based on the MATLAB/SIMULINK simulation environment. According to the artificial immune feedback theory and the approximation of the nonlinear function in the immune feedback system, with the help of fuzzy logic, a fuzzy immune PI controller has been made and harnessed in the speed loop. Under the three conditions: steady load startup, speed abrupt change, and load abrupt change, a series of contradistinctive simulation experiments are conducted and compared with the original PI controller respectively. The experimental results showed that the SVPWM control method with the fuzzy immune PI controller can not only make the motor run steadily, but also give it a superior speed performance and torque control characteristics. In addition, the control performance of the fuzzy immune PI controller showed a dramatically improvement compared with that of the traditional PI controller.

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