A synchronous condenser(SC)isusedto maintain grid voltage stability owing to its bidirectional fast reactive power regulation ability and good dynamic characteristics.To address the issue of dynamic voltage instabilit...A synchronous condenser(SC)isusedto maintain grid voltage stability owing to its bidirectional fast reactive power regulation ability and good dynamic characteristics.To address the issue of dynamic voltage instability inpower systemduring failuresor heavy inductive loads,an SC reactive power regulation optimization method based onsingle neuron adaptive PID(SNA-PID)combined with whale optimization algorithm(WOA)is proposed.This approach aimsto overcome the limitationsof normal PID controllers.Asimulation model of the SC reactive power regulation system,based on SNA-PID combined with the WOA,is established using Matlab.The parameters of the SNA-PID are optimizedbythe WOAwith the ITAE criterion under two typical operation situationsof the power system:one is to set three different degrees of short-circuit ground faults,and the other isto accessthree different three-phase resistive loads.Compared to conventional PID control,asthe degree of short-circuit ground faults increases and the three-phase resistive load resistance decreases,the SC reactive power regulation optimization method based on SNA-PID combined with the WOA can still reduce the voltage recovery time and voltage oscillation,while maintaining voltage stability.Simulation results show that the proposed method exhibits better dynamic adjustment characteristics and adaptive ability.展开更多
Control design is important for PEMFC （proton exchange membrane fuel cell） distributed power generator to satisfy user requirement for safe and stable operation. For a complex multi-variable dynamic system, a dynami...Control design is important for PEMFC （proton exchange membrane fuel cell） distributed power generator to satisfy user requirement for safe and stable operation. For a complex multi-variable dynamic system, a dynamic simulation model is first established. In view of close coupling and non-linear relationships between variables, the intelligent auto-adapted PI decoupling control method is used. From the simulation results it is found that, by bringing quadratic performance index in the single neuron, constructing adaptive PI controller, and adjusting gas flow rates through the second pressure relief valve and air compressor coordinately, both anode and cathode pressures can be maintained at ideal levels.展开更多
To reduce the damages of pavement,vehicle components and agricultural product during transportation,an electric control air suspension height adjustment system of agricultural transport vehicle was studied by means of...To reduce the damages of pavement,vehicle components and agricultural product during transportation,an electric control air suspension height adjustment system of agricultural transport vehicle was studied by means of simulation and bench test.For the oscillation phenomenon of vehicle height in driving process,the mathematical model of the vehicle height adjustment system was developed,and the controller of vehicle height based on single neuron adaptive PID control algorithm was designed.The control model was simulated via Matlab/Simulink,and bench test was conducted.Results show that the method is feasible and effective to solve the agricultural vehicle body height unstable phenomenon in the process of switching.Compared with other PID algorithms,the single neuron adaptive PID control in agricultural transport vehicle has shorter response time,faster response speed and more stable switching state.The stability of the designed vehicle height adjustment system and the ride comfort of agricultural transport vehicle were improved.展开更多
基金Supported by the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX21_0474).
文摘A synchronous condenser(SC)isusedto maintain grid voltage stability owing to its bidirectional fast reactive power regulation ability and good dynamic characteristics.To address the issue of dynamic voltage instability inpower systemduring failuresor heavy inductive loads,an SC reactive power regulation optimization method based onsingle neuron adaptive PID(SNA-PID)combined with whale optimization algorithm(WOA)is proposed.This approach aimsto overcome the limitationsof normal PID controllers.Asimulation model of the SC reactive power regulation system,based on SNA-PID combined with the WOA,is established using Matlab.The parameters of the SNA-PID are optimizedbythe WOAwith the ITAE criterion under two typical operation situationsof the power system:one is to set three different degrees of short-circuit ground faults,and the other isto accessthree different three-phase resistive loads.Compared to conventional PID control,asthe degree of short-circuit ground faults increases and the three-phase resistive load resistance decreases,the SC reactive power regulation optimization method based on SNA-PID combined with the WOA can still reduce the voltage recovery time and voltage oscillation,while maintaining voltage stability.Simulation results show that the proposed method exhibits better dynamic adjustment characteristics and adaptive ability.
基金Project supported by National High-Technology Research andDevelopment Program of China (Grant No .2002AA517020)
文摘Control design is important for PEMFC （proton exchange membrane fuel cell） distributed power generator to satisfy user requirement for safe and stable operation. For a complex multi-variable dynamic system, a dynamic simulation model is first established. In view of close coupling and non-linear relationships between variables, the intelligent auto-adapted PI decoupling control method is used. From the simulation results it is found that, by bringing quadratic performance index in the single neuron, constructing adaptive PI controller, and adjusting gas flow rates through the second pressure relief valve and air compressor coordinately, both anode and cathode pressures can be maintained at ideal levels.
基金the National Natural Science Foundation of China(Grant No.51375212,71373105)Research Fund for the Doctoral Program of Higher Education of China(Grant No.20133227130001)+1 种基金Research and Innovation Project for College Graduates of Jiangsu Province of China(Grant No.CXZZ12_0663)Jiangsu Provincial Natural Science Foundation of China(Grant No.BK20131255)。
文摘To reduce the damages of pavement,vehicle components and agricultural product during transportation,an electric control air suspension height adjustment system of agricultural transport vehicle was studied by means of simulation and bench test.For the oscillation phenomenon of vehicle height in driving process,the mathematical model of the vehicle height adjustment system was developed,and the controller of vehicle height based on single neuron adaptive PID control algorithm was designed.The control model was simulated via Matlab/Simulink,and bench test was conducted.Results show that the method is feasible and effective to solve the agricultural vehicle body height unstable phenomenon in the process of switching.Compared with other PID algorithms,the single neuron adaptive PID control in agricultural transport vehicle has shorter response time,faster response speed and more stable switching state.The stability of the designed vehicle height adjustment system and the ride comfort of agricultural transport vehicle were improved.
