CAJ | 학술논문

针对PID控制器应用于实际的自动电压调节器（AVR）系统,为了有效地寻找AVR系统的最佳PID控制器参数,提出一种基于改进的云自适应粒子群算法的PID参数优化策略。通过建立粒子群优化的PID控制器参数模型,在控制过程中将PID参数（比例、积分、微分）作为粒子群中的粒子,采用控制误差绝对值时间积分函数作为优化目标,在控制过程中动态调整PID的三个控制参数,从而进行PID控制参数的实时优化。仿真结果表明,该PID控制器可以获得较好的控制性能指标,进而改善AVR系统的瞬时响应特性,具有一定的实用价值。
침대PID공제기응용우실제적자동전압조절기（AVR）계통,위료유효지심조AVR계통적최가PID공제기삼수,제출일충기우개진적운자괄응입자군산법적PID삼수우화책략。통과건립입자군우화적PID공제기삼수모형,재공제과정중장PID삼수（비례、적분、미분）작위입자군중적입자,채용공제오차절대치시간적분함수작위우화목표,재공제과정중동태조정PID적삼개공제삼수,종이진행PID공제삼수적실시우화。방진결과표명,해PID공제기가이획득교호적공제성능지표,진이개선AVR계통적순시향응특성,구유일정적실용개치。
The PID controller is widely used in automatic voltage regulator （AVR） system to improve its control performance. In order to find the optimal PID controller parameters effec- tively for AVR system, a kind of modified adaptive particle swarm optimization based on cloud theory is applied to PID controller. Through the establishment of particle swarm optimization of PID controller parameter model, in the control process PID parameters （proportion, inte- gral, differential） are considered as the particle in the particle swarm, and the error absolute value of time integral function is controlled as the optimization objective, and three PID control parameters are dynamically adjusted, thereby realizing the PID control parameters real-time optimization. The simulation results show that the PID controller has better control perfor- mance index so as to improve the transient response characteristics of AVR system, and has a certain practical value.