pid tuning methods

result is prone to static error. In order to eliminate this defect, we can combine the fuzzy control algorithm and PID algorithm to get the parameter self-tuning fuzzy PID algorithm.The block diagram of the parametric self-tuning fuzzy-PID algorithm is as follows:　　The conc

and the steady-state performance. Experienced debugging personnel can generally get more satisfactory debugging results. The most important problem in debugging is that when the performance of the system is unsatisfactory, you know which parameter should be adjusted and whether the parameter should be increased or decreased. to reduce the need for tuning parameters, the PI controller can be used first. In order to ensure the security of the system, a

APM code I've seen several versions of it, From 2.91b to Pix4flow 3.2.1 can be used to the latest 3.3.1, the different versions of the PID code are some differences, about his understanding of the PID code I will be in a separate article to chat, today I first talk about the Renesas G13 SCM platform to adjust the experience of PID,

%B3%95. It seems much simpler than the first one. But now the question is what the Ku should be adjusted. Self-irresponsible understanding: Ku should be set to adjust the kp value when ki and kd are all set to 0, so that the kp at this time is the ku when the controlled amount is fluctuating. There are two other methods mentioned on the wiki. If you don't take a closer look, you have time to study them again. At the end of this article, I just started

Common tuning methods in linux and common tuning methods in linux Performance Tuning is one of the most important tasks for O M engineers. If your production environment experiences slow system response speed, abnormal hard disk I/O throughput, and the data processing speed

. Net Performance Tuning Series Article Index of series articles . Net Performance Tuning: Use of ants performance profiler . NET performance optimization 2: Use Visual Studio for code measurement . Net Performance Tuning 3: tuning tools and methods for yslo

Article title: Overview of tuning methods for Linux network performance tuning. Linux is a technology channel of the IT lab in China. Includes basic categories such as desktop applications, Linux system management, kernel research, embedded systems, and open source. Author: Yao Ye He Xiaoyu Yang bangqing Hongyun 　　 In two articles:

FineReport performance tuning methods, finereport Performance TuningThe basic idea of FineReport performance optimization is to properly set the memory size of the application server. Generally, the default memory configuration of the server is relatively small. In larger application projects, this memory is not enough. Therefore, you need to increase the memory size during processing. The memory configurat

Label:This paper mainly explains MySQL performance bottleneck analysis, performance indicators, performance index information collection tools and methods, analysis of the use of tuning tools.The article has not been completed, the following is an outline.Performance bottlenecks:SlowPerformance Index:Frequency of VisitsNumber of concurrent connectionsCache Hit RatioIndex useSlow log opening and analysisQuer

Speaking of the tuning of SQL Server, I think everyone would like to know this knowledge. I am also exploring the way, we have any good ideas, welcome to discuss and study. Win the people's long, can avoid weaknesses. This article is mainly from the programmer's SQL code, if you want to read, you can download the Internet to read (of course, the best way to buy the author's book). On the tuning of the pro

'echo 2000000 >/proc/sys/fs/nr_open ' Now we can set nofile.Admin soft nofile 2000000admin hard Nofile 20000004. Finally, in the process of testing, according to the information of the DMESG system to continuously adjust the configuration in the server/sbin/sysctl, finally, our test completed 2 million long connection. To minimize memory footprint, I changed the Nginx request_pool_size from the default 4k to 1k. In addition, the default values in Net.ipv4.tcp_wmem and Net.ipv4.tcp_rmem are also

data, empirical data, and disk nominal values, it is not difficult to identify potential or already occurring problems with disk I/O when necessary, using the CPU, memory, and swap partitions. But how to avoid and solve these problems? This requires knowledge and technology for disk I/O performance optimization. Limited to the topic and length of this article, only a few commonly used optimization methods for readers to reference:1. Adjust the data l

Tags: Database tuning database performance optimizing MySQL performanceVi. other optimization methods of MySQL Database In the last chapter, we talk about some optimization methods that are not covered before. 1. My.ini configuration file Here are only two of the most important, but the others are more. 1) Configure the maximum number of connections The default i

This article introduces 10 MySQL Performance tuning methods. each method is very detailed and practical. For more information, see MYSQL, which is the most popular WEB backend database. WEB development languages have developed rapidly recently. PHP, Ruby, Python, and Java have their own characteristics. although NOSQL has been mentioned more recently, I believe most architects will choose MYSQL for data sto

.InnoDB Buffer hit RatioInnodb_buffer_read_hits = (1-innodb_buffer_pool_reads/innodb_buffer_pool_read_requests) * 100%Mysql> Show status like ' innodb_buffer_pool_read% ';25.Query Cache Hit RateQuery_cache_hits = (Qcahce_hits/(qcache_hits + qcache_inserts)) * 100%;Mysql> Show status like ' qcache% ';26.Table Cache State AmountMysql> Show status like ' open% ';27.Thread Cache Hit RateThread_cache_hits = (1-threads_created/connections) * 100%Mysql> Show status like ' thread% ';Mysql> Show status l

1. Log in to the WebLogic console on the browser2. Click Deploy, deployment order, default is 100.3. Click on the Lock and edit, enter the following screen, click the service you need to modify, the Blue pen logo.4. Modify the deployment order,5. Save and release the lock.Note: The deployment sequence number is small and starts first.This article for Bo Master Original, reproduced please indicate the source, thank you.WebLogic Tuning multiple service

/drop_caches clears the operating system's file cache to see the true amount of memory used. 2.2 Data preheating By default, only a single piece of data is read once before it is cached in Innodb_buffer_pool. As a result, the database is just starting up and needs to be warmed up to cache all the data on the disk into memory. Data preheating can improve reading speed. For InnoDB databases, you can use the following methods to preheat data: 1. Save

Performance bottlenecks:Slow, write faster than read The main performance indicators:Frequency of visits,The number of concurrent connections,Cache Hit Ratio,Index use,Slow log opening and analysis,Query log, querying logThreads_cached: Whether the connection thread cache is turned onThread_cache_size: The size of the number of thread cachesQuery_cache_size: Query Cache SizeJoin_buffer_size:join Buffer SizeSize of tmp_table_size:tmp table (> 16M)Max_heap_table_size: Maximum heap table size (> 16

GC mechanism: Allocating an object using the new keyword; when releasing an object, the program cannot access the object again, as long as it is assigned NULL to all references to the object, and we call the object "unreachable." The GC is responsible for reclaiming the memory space of all "unreachable" objects. JVM Tuning Method: 1. The most basic advice is to release the references to unwanted objects as soon as possible. Most programmers use tempor

1. Check the database space usage to see which tables are consuming larger disk spaceExecute the following statement:SelectO.name, SUM (p.reserved_page_count) asReserved_page_count, SUM (p.used_page_count) asUsed_page_count, SUM ( CaseWhen (p.index_id2) Then (p.in_row_data_page_count+P.lob_used_page_count+p.row_overflow_used_page_count)Elsep.lob_used_page_count+P.row_overflow_used_page_count End) asDataPages, SUM ( CaseWhen (p.index_id2) then Row_countElse 0end) asrowcounts fromsys.dm_db_partiti