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- ：智能算法如粒子群算法已被应用于PID控制器的参数优化，以弥补传统优化方法容易产生振荡和较大超调量 的不足，但是粒子群算法存在易于早熟的缺点，在分析量子粒子群算法的基础上，提出了使用量子粒子群算法优化PID控 制器的参数。为了兼顾控制系统的各项性能指标，根据控制器的实际要求对各项指标进行加权作为算法的目标函数，对 PID控制器进行多目标寻优。通过2个传递函数实例，分别使用z—N、粒子群算法和量子粒子群算法进行了PID控制器 参数优化设计，并对结果进行了分析。-Abstract：H
gogoi
- In the process control industry, majority of control loops are based on ProportionalIntegral-Derivative (PID) controllers. The basic structure of the PID controllers makes it easy to regulate the process output. Design methods leading to an optima
Mouli_PID-08001819301315241
- Proportional integral derivative (PID) controllers are still widely used today to control many processes because of their long history of proven operation in addition to the fact that they are well understood by many operational, technical and
cs1
- Tuning PID controllers can seem a mystery. Parameters that provide effective control over a process one day fail to do so the next. The stability and responsiveness of a process seem to be at complete odds with each other-Tuning PID contro
Relay-Feedback-Auto-Tuning-of-PID-Controllers
- Trajectory Tracking Control of a Car-Trailer System
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- This paper presents a method for optimum tuning of Fractional PID controllers using PSO algorithm which have fractional or integer order transfer functions. Particle swarm optimization (PSO) is a robust stochastic optimization technique based on the
elk-22-6-6-1207-45--
- In this paper, an analysis is given on open-loop control of the transmitted active power using a TCSC in a power transmission line, and its sensitivity to parameter variations is investigated. The performance of the closed-loop TCSC with PID and