Mutation particle swarm optimization of the BP-PID controller for piezoelectric ceramics

Huaqing ZHENG; Minlan Jiang

doi:10.1117/12.2214337

26 January 2016 Mutation particle swarm optimization of the BP-PID controller for piezoelectric ceramics

Huaqing ZHENG, Minlan Jiang

Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 990322 (2016) https://doi.org/10.1117/12.2214337
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China

Abstract

PID control is the most common used method in industrial control because its structure is simple and it is easy to implement. PID controller has good control effect, now it has been widely used. However, PID method has a few limitations. The overshoot of the PID controller is very big. The adjustment time is long. When the parameters of controlled plant are changing over time, the parameters of controller could hardly change automatically to adjust to changing environment. Thus, it can’t meet the demand of control quality in the process of controlling piezoelectric ceramic. In order to effectively control the piezoelectric ceramic and improve the control accuracy, this paper replaced the learning algorithm of the BP with the mutation particle swarm optimization algorithm(MPSO) on the process of the parameters setting of BP-PID. That designed a better self-adaptive controller which is combing the BP neural network based on mutation particle swarm optimization with the conventional PID control theory. This combination is called the MPSO-BP-PID. In the mechanism of the MPSO, the mutation operation is carried out with the fitness variance and the global best fitness value as the standard. That can overcome the precocious of the PSO and strengthen its global search ability. As a result, the MPSO-BP-PID can complete controlling the controlled plant with higher speed and accuracy. Therefore, the MPSO-BP-PID is applied to the piezoelectric ceramic. It can effectively overcome the hysteresis, nonlinearity of the piezoelectric ceramic. In the experiment, compared with BP-PID and PSO-BP-PID, it proved that MPSO is effective and the MPSO-BP-PID has stronger adaptability and robustness.

Citation Download Citation

Huaqing ZHENG and Minlan Jiang "Mutation particle swarm optimization of the BP-PID controller for piezoelectric ceramics", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990322 (26 January 2016); https://doi.org/10.1117/12.2214337

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Particles

Particle swarm optimization

Ceramics

Neural networks

Process control

Promethium

Evolutionary algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years