共查询到20条相似文献,搜索用时 199 毫秒
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Meng Joo Er Ya Lei Sun 《Industrial Electronics, IEEE Transactions on》2001,48(6):1109-1117
This paper presents a new approach toward the optimal design of a hybrid proportional-integral-derivative (PID) controller applicable for controlling linear as well as nonlinear systems using genetic algorithms (GAs). The proposed hybrid PID controller is derived by replacing the conventional PI controller by a two-input normalized linear fuzzy logic controller (FLC) and executing the conventional D controller in an incremental form. The salient features of the proposed controller are as follows: (1) the linearly defined FLC can generate nonlinear output so that high nonlinearities of complex systems can be handled; (2) only one well-defined linear fuzzy control space is required for both linear and nonlinear systems; (3) optimal tuning of the controller gains is carried out by using a GA; and (4) it is simple and easy to implement. Simulation results on a temperature control system (linear system) and a missile model (nonlinear system) demonstrate the effectiveness and robustness of the proposed controller 相似文献
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Jong-Wook Kim Sang Woo Kim 《Mechatronics, IEEE/ASME Transactions on》2003,8(3):410-414
In this paper, incremental fuzzy proportional integral (PI) speed and temperature controllers for a heavy-duty gas-turbine plant are presented. To improve performance, an analysis of incremental fuzzy PI control is provided, and new fuzzy control rules are proposed. In applying the fuzzy PI control to a gas-turbine plant, all gains are optimized by an adaptive genetic algorithm. We show the performance improvement of the proposed controller compared with conventional PI controller via simulations. 相似文献
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Yong Feng Shun-Ping Wang Ping Luo Quan-Ming Niu Zhao-Ji Li 《中国电子科技》2007,5(2):136-140
This paper presents a novel fuzzy pulse skip modulation (FPSM) controller for switching direct current to direct current (DC-DC) converters based on fuzzy ratiocination modeling approach. Owing to the optimal consideration during the design and the nonlinear characteristics of the controller, improved dynamic responses of the FPSM controller can be achieved over conventional controllers. Compared with conventional proportion integral derivative (PID) control, FPSM control has 60% lower overshoot and 10% lower setting time under the same input voltage and output load change. The presented approach is general and can be applied to other types of DC-DC converters. 相似文献
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为了提高水力发电机组过渡动态性能,利用模糊控制理论设计了基于分数阶的模糊分数阶控制器,并将其应用于水轮机调速系统,利用PSO优化算法对控制器的参数进行优化.与常规PID控制器进行对比实验,实验结果表明,模糊分数阶控制比传统PID控制具有更好的动态性能,对于水轮机转速调节是一种有效的控制手段. 相似文献
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Robust loop shaping-fuzzy gain scheduling control of a servo-pneumatic system using particle swarm optimization approach 总被引:2,自引:0,他引:2
In this paper, a new technique called robust loop shaping-fuzzy gain scheduled control (RLS-FGS) is proposed to design an effective nonlinear controller for a long stroke pneumatic servo system. In our technique, a nonlinear dynamic model of a long stroke pneumatic servo plant is identified by the fuzzy identification method and is used as the plant for our design. The structure of local controllers is selected as PID control which is proven by many research works that this type of control has many advantages such as simple structure, well understanding, and high performance. The proposed technique uses particle swarm optimization (PSO) to find the optimal local controllers which maximize the average stability margin. In addition, performance weighting function which is normally difficult to obtain is automatically determined by PSO. By the proposed technique, the RLS-FGS controller can be designed, and the structure of local controllers is still not complicated. As seen in the simulation and experimental results, our proposed technique is better than the classical gain scheduled PID controller tuned by pole placement and the conventional fuzzy PID controller tuned by ISE method in terms of robust performance. 相似文献
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参数模糊自整定PID在飞机全电刹车中的应用 总被引:1,自引:1,他引:0
提出了一种参数模糊自整定PID的控制策略在飞机全电刹车系统中的应用。滑移率的偏差和偏差变化率作为控制器的输入,PID控制器3个参数的自整定值作为控制器的输出,实现了PID参数的在线自整定。分析了参数模糊自整定PID的原理。飞机全电刹车系统的仿真曲线表明:以滑移率为控制对象,参数模糊自整定PID控制与常规PID相比,控制系统的响应速度快、超调量减小、过渡过程时间大大缩短、振荡次数少,具有较强的鲁棒性和稳定性。 相似文献
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本文主要分析了常规PID控制器、模糊自适应PI D控制器和变结构模糊PID控制器的原理.并设计了三种控制器。针对同一控制对象进行了MATLAB仿真,分别对比了被控对象参数和结构均不变、被控对象参数改变、被控对象结构改变三种不同情况下控制器的鲁棒性从仿真结果可以看出变结构模糊PlD控制器在三种情况下的鲁棒性最好。 相似文献
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基于模糊PID控制的水轮机调节系统应用与仿真研究 总被引:2,自引:2,他引:0
针对水轮机调节系统的非线性、时变性及大惯性等特点,建立了其较为精确的数学模型,研究了模糊控制的基本原理,在此基础上构建了水轮机调节系统的模糊PID控制模型,并设计了适合水轮发电机组的模糊控制器,最后利用Matlab软件做了深入细致的仿真研究。研究表明,与常规的PID控制算法相比,引入模糊PID控制的水轮发电机组的调节特性得到了明显改善,并具有良好的动态品质。 相似文献
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本文主要利用粒子群优化算法(PSO)确定输送机系统速度控制中的最佳PID控制器增益。该项目通过三菱Q系列UDV PLC实现,该PLC带有多个编码器传感器和一个内置以太网模块来监控反馈。为了验证该方法的性能,将PSO离线确定的最优增益应用于模拟器和实际模型。实验结果表明,与其它方法相比,所提出的基于粒子群算法的PID控制器具有较低的暂态波动和较小的稳态误差。 相似文献
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通过对模糊自适应PID控制器设计过程的详细分析,提出了一种基于PLC查表方式实现模糊自适应PID控制器的方法,实现了基于PLC的自适应模糊PID控制器的设计,并应用于实际的控制系统中。结果表明,用PLC实现模糊自适应PID控制简单实用,适于工业控制系统应用。 相似文献
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根据BP神经网络对温度控制的要求设计出一种模糊PID控制器,采用误差和误差变化率作为模糊PID控制器的输入,PID参数作为模糊PID控制器的输出,使用一组模糊规则实现对PID参数的在线优化调节。采用Simulink图形化工具平台对模糊PID控制器和传统的PID控制器进行建模和仿真,结果表明和传统PID控制器相比,模糊PID控制器性能优良,使系统响应速度加快,超调减小。 相似文献
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针对无人机飞行中存在大量的随机干扰和不确定误差等问题,常规的PID控制器不能满足高精度、高灵活性和强适应性的要求,提出了基于改进Fuzzy-PID控制理论的飞控律设计。该设计使用模糊规则下的切换开关来完成PID控制和Fuzzy控制输出量的加权,使控制具有两者的优点。通过调整模糊隶属度函数参数,可以得到系统的最佳控制方案。仿真结果表明:基于改进Fuzzy-PID控制理论的飞控律明显优于常规控制理论,具有较强的适应性和灵活性,在提高无人机的飞行控制系统性能上具有实际意义。 相似文献
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结合空调房间温度控制具有大滞后、非线性、时变的特点,设计了一种比例-模糊PID控制器。建立了空调温度的系统的模型,介绍了控制器实现原理以及结构,并详细叙述了各个参数的模糊控制规则。在MATLAB的Simulink中搭建系统模型并与传统PID比较,最后进行仿真。仿真结果表明,所设计的比例-模糊控制器比传统PID控制器有更好的动态性能和稳态性能。 相似文献
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A fuzzy logic sliding mode controlled electronic differential for a direct wheel drive EV 总被引:1,自引:0,他引:1
Emre Ozkop Ismail H. Altas H. Ibrahim Okumus Adel M. Sharaf 《International Journal of Electronics》2013,100(11):1919-1942
In this study, a direct wheel drive electric vehicle based on an electronic differential system with a fuzzy logic sliding mode controller (FLSMC) is studied. The conventional sliding surface is modified using a fuzzy rule base to obtain fuzzy dynamic sliding surfaces by changing its slopes using the global error and its derivative in a fuzzy logic inference system. The controller is compared with proportional–integral–derivative (PID) and sliding mode controllers (SMCs), which are usually preferred to be used in industry. The proposed controller provides robustness and flexibility to direct wheel drive electric vehicles. The fuzzy logic sliding mode controller, electronic differential system and the overall electrical vehicle mechanism are modelled and digitally simulated by using the Matlab software. Simulation results show that the system with FLSMC has better efficiency and performance compared to those of PID and SMCs. 相似文献
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Dong Quang Dang Nga Thi-Thuy Vu Han Ho Choi 《International Journal of Electronics》2013,100(5):864-885
This paper presents a robust speed-control strategy using a Takagi–Sugeno fuzzy model for interior permanent magnet synchronous motor (IPMSM) drives. The sufficient conditions of linear matrix inequalities, which can guarantee the existence of the fuzzy controller gains, are derived from a common quadratic Lyapunov function. Moreover, the maximum torque per ampere control is incorporated to improve the torque production in the constant torque region and the efficiency of the IPMSM drive. The global stability of an observer-based control system is analytically proven. Simulations and experiments are conducted to demonstrate the feasibility of the proposed approach through a prototype IPMSM drive system. Consequently, the proposed fuzzy control methodology can achieve less steady-state error and less sensitivity than the conventional feedback linearisation control method under motor parameter variations and external disturbances. 相似文献